{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T21:54:48Z","timestamp":1780696488371,"version":"3.54.1"},"reference-count":144,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T00:00:00Z","timestamp":1722902400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The growing global population demands an increase in agricultural production and the promotion of sustainable practices. Smart agriculture, driven by advanced technologies, is crucial to achieving these goals. These technologies provide real-time information for crop monitoring, yield prediction, and essential farming functions. However, adopting intelligent farming systems poses challenges, including learning new systems and dealing with installation costs. Robust support is crucial for integrating smart farming into practices. Understanding the current state of agriculture, technology trends, and the challenges in technology acceptance is essential for a smooth transition to Agriculture 4.0. This work reports on the pivotal synergy of IoT technology with other research trends, such as weather forecasting and robotics. It also presents the applications of smart agriculture worldwide, with an emphasis on government initiatives to support farmers and promote global adoption. The aim of this work is to provide a comprehensive review of smart technologies for precision agriculture and especially of their adoption level and results on the global scale; to this end, this review examines three important areas of smart agriculture, namely field, greenhouse, and livestock monitoring.<\/jats:p>","DOI":"10.3390\/info15080466","type":"journal-article","created":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T08:07:59Z","timestamp":1722931679000},"page":"466","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["The Implementation of \u201cSmart\u201d Technologies in the Agricultural Sector: A Review"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1888-6411","authenticated-orcid":false,"given":"Fotis","family":"Assimakopoulos","sequence":"first","affiliation":[{"name":"Department of Management Science and Technology, University of the Peloponnese, 22131 Tripoli, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9940-1821","authenticated-orcid":false,"given":"Costas","family":"Vassilakis","sequence":"additional","affiliation":[{"name":"Department of Informatics and Telecommunications, University of the Peloponnese, 22131 Tripoli, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7487-374X","authenticated-orcid":false,"given":"Dionisis","family":"Margaris","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of the Peloponnese, 23100 Sparta, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7838-9691","authenticated-orcid":false,"given":"Konstantinos","family":"Kotis","sequence":"additional","affiliation":[{"name":"Department of Cultural Technology and Communication, University of the Aegean, University Hill, 81100 Mytilene, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3646-1362","authenticated-orcid":false,"given":"Dimitris","family":"Spiliotopoulos","sequence":"additional","affiliation":[{"name":"Department of Management Science and Technology, University of the Peloponnese, 22131 Tripoli, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1093\/biosci\/bix010","article-title":"Agriculture in 2050: Recalibrating Targets for Sustainable Intensification","volume":"67","author":"Hunter","year":"2017","journal-title":"BioScience"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/bs.agron.2020.05.006","article-title":"Achieving the Sustainable Development Goals in Agriculture: The Crucial Role of Nitrogen in Cereal-Based Systems","volume":"Volume 163","author":"Ladha","year":"2020","journal-title":"Advances in Agronomy"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.oneear.2020.12.007","article-title":"Setting Ambitious Goals for Agriculture to Meet Environmental Targets","volume":"4","author":"Erisman","year":"2021","journal-title":"One Earth"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Afzal, A., and Bell, M. (2023). Precision Agriculture: Making Agriculture Sustainable. Precision Agriculture, Elsevier.","DOI":"10.1016\/B978-0-443-18953-1.00006-4"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/s11119-016-9491-4","article-title":"Promoting Sustainable Intensification in Precision Agriculture: Review of Decision Support Systems Development and Strategies","volume":"18","author":"Lindblom","year":"2017","journal-title":"Precis. Agric."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.dss.2012.07.002","article-title":"IT as Enabler of Sustainable Farming: An Empirical Analysis of Farmers\u2019 Adoption Decision of Precision Agriculture Technology","volume":"54","author":"Aubert","year":"2012","journal-title":"Decis. Supp. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"122374","DOI":"10.1016\/j.techfore.2023.122374","article-title":"Understanding Technology Acceptance in Smart Agriculture: A Systematic Review of Empirical Research in Crop Production","volume":"189","author":"Thomas","year":"2023","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"149854","DOI":"10.1109\/ACCESS.2020.3016325","article-title":"Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends","volume":"8","author":"Sott","year":"2020","journal-title":"IEEE Access"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rose, D.C., and Chilvers, J. (2018). Agriculture 4.0: Broadening Responsible Innovation in an Era of Smart Farming. Front. Sustain. Food Syst., 2.","DOI":"10.3389\/fsufs.2018.00087"},{"key":"ref_10","first-page":"38","article-title":"The Role of Digitalization in the Agricultural 4.0\u2014How to Connect the Industry 4.0 to Agriculture?","volume":"33","author":"Husti","year":"2018","journal-title":"Hung. Agric. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Zambon, I., Cecchini, M., Egidi, G., Saporito, M.G., and Colantoni, A. (2019). Revolution 4.0: Industry vs. Agriculture in a Future Development for SMEs. Processes, 7.","DOI":"10.3390\/pr7010036"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4322","DOI":"10.1109\/TII.2020.3003910","article-title":"From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges","volume":"17","author":"Liu","year":"2021","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"105256","DOI":"10.1016\/j.compag.2020.105256","article-title":"Decision Support Systems for Agriculture 4.0: Survey and Challenges","volume":"170","author":"Zhai","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1007\/s11277-023-10521-1","article-title":"Application of Green IoT in Agriculture 4.0 and Beyond: Requirements, Challenges and Research Trends in the Era of 5G, LPWANs and Internet of UAV Things","volume":"131","author":"Majumdar","year":"2023","journal-title":"Wirel. Pers. Commun."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Friedl, M.A. (2018). Remote Sensing of Croplands. Comprehensive Remote Sensing, Elsevier.","DOI":"10.1016\/B978-0-12-409548-9.10379-3"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Singh, P., Pandey, P.C., Petropoulos, G.P., Pavlides, A., Srivastava, P.K., Koutsias, N., Deng, K.A.K., and Bao, Y. (2020). Hyperspectral Remote Sensing in Precision Agriculture: Present Status, Challenges, and Future Trends. Hyperspectral Remote Sensing, Elsevier.","DOI":"10.1016\/B978-0-08-102894-0.00009-7"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Mohindru, V., Singh, Y., Bhatt, R., and Gupta, A.K. (2021). Precision Agriculture with Technologies for Smart Farming Towards Agriculture 5.0. Unmanned Aerial Vehicles for Internet of Things (IoT), Wiley.","DOI":"10.1002\/9781119769170"},{"key":"ref_18","unstructured":"Hegde, P. (2024, June 20). Precision Agriculture: How Is It Different from Smart Farming?. Available online: https:\/\/www.cropin.com\/blogs\/smart-farming-vs-precision-farming-systems."},{"key":"ref_19","unstructured":"Agrocares (2024, June 20). What Is the Difference between Precision, Digital and Smart Farming?. Available online: https:\/\/agrocares.com\/what-is-the-difference-between-precision-digital-and-smart-farming\/."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1007\/978-3-030-28464-0_40","article-title":"Big Data Transformation in Agriculture: From Precision Agriculture towards Smart Farming","volume":"Volume 568","author":"Afsarmanesh","year":"2019","journal-title":"Collaborative Networks and Digital Transformation"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"104193","DOI":"10.1016\/j.landusepol.2019.104193","article-title":"Fertiliser Adoption and Sustainable Rural Livelihood Improvement in Nigeria","volume":"88","author":"Donkor","year":"2019","journal-title":"Land Use Policy"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.landusepol.2018.10.054","article-title":"Crop Advisers as Conservation Intermediaries: Perceptions and Policy Implications for Relying on Nontraditional Partners to Increase U.S. Farmers\u2019 Adoption of Soil and Water Conservation Practices","volume":"81","author":"Eanes","year":"2019","journal-title":"Land Use Policy"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"104580","DOI":"10.1016\/j.resconrec.2019.104580","article-title":"Classifying Green Technologies for Sustainable Innovation and Investment","volume":"153","author":"Guo","year":"2020","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4878","DOI":"10.1002\/jsfa.9693","article-title":"State-of-the-art Technologies in Precision Agriculture: A Systematic Review","volume":"99","author":"Bhakta","year":"2019","journal-title":"J. Sci. Food Agric."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"126763","DOI":"10.1016\/j.jclepro.2021.126763","article-title":"A Systematic Literature Review on Applications of Information and Communication Technologies and Blockchain Technologies for Precision Agriculture Development","volume":"298","author":"Liu","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"107119","DOI":"10.1016\/j.compag.2022.107119","article-title":"Towards Leveraging the Role of Machine Learning and Artificial Intelligence in Precision Agriculture and Smart Farming","volume":"198","author":"Rasool","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"110209","DOI":"10.1109\/ACCESS.2021.3102227","article-title":"Big Data and AI Revolution in Precision Agriculture: Survey and Challenges","volume":"9","author":"Bhat","year":"2021","journal-title":"IEEE Access"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4843","DOI":"10.1109\/ACCESS.2020.3048415","article-title":"Machine Learning Applications for Precision Agriculture: A Comprehensive Review","volume":"9","author":"Sharma","year":"2021","journal-title":"IEEE Access"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Tsouros, D.C., Bibi, S., and Sarigiannidis, P.G. (2019). A Review on UAV-Based Applications for Precision Agriculture. Information, 10.","DOI":"10.3390\/info10110349"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"102461","DOI":"10.1016\/j.jnca.2019.102461","article-title":"A Survey of Unmanned Aerial Sensing Solutions in Precision Agriculture","volume":"148","author":"Mukherjee","year":"2019","journal-title":"J. Netw. Comput. Appl."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Aslan, M.F., Durdu, A., Sabanci, K., Ropelewska, E., and G\u00fcltekin, S.S. (2022). A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses. Appl. Sci., 12.","DOI":"10.3390\/app12031047"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"136253","DOI":"10.1109\/ACCESS.2021.3116814","article-title":"AgriFusion: An Architecture for IoT and Emerging Technologies Based on a Precision Agriculture Survey","volume":"9","author":"Singh","year":"2021","journal-title":"IEEE Access"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Shafi, U., Mumtaz, R., Garc\u00eda-Nieto, J., Hassan, S.A., Zaidi, S.A.R., and Iqbal, N. (2019). Precision Agriculture Techniques and Practices: From Considerations to Applications. Sensors, 19.","DOI":"10.3390\/s19173796"},{"key":"ref_34","first-page":"5602","article-title":"Precision Agriculture Using IoT Data Analytics and Machine Learning","volume":"34","author":"Akhter","year":"2022","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1007\/978-981-16-2422-3_42","article-title":"Internet of Things in Precision Agriculture: A Survey on Sensing Mechanisms, Potential Applications, and Challenges","volume":"Volume 213","author":"Raj","year":"2022","journal-title":"Intelligent Sustainable Systems"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"129924","DOI":"10.1109\/ACCESS.2020.3009298","article-title":"Recent Developments of the Internet of Things in Agriculture: A Survey","volume":"8","author":"Kour","year":"2020","journal-title":"IEEE Access"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"106034","DOI":"10.1016\/j.engappai.2023.106034","article-title":"A Comparative Study of Deep Learning and Internet of Things for Precision Agriculture","volume":"122","author":"Saranya","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.landusepol.2018.10.004","article-title":"Exploring the Adoption of Precision Agricultural Technologies: A Cross Regional Study of EU Farmers","volume":"80","author":"Barnes","year":"2019","journal-title":"Land Use Policy"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1007\/s11119-019-09653-x","article-title":"A Systematic Literature Review of the Factors Affecting the Precision Agriculture Adoption Process","volume":"20","author":"Pathak","year":"2019","journal-title":"Precis. Agric."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1816","DOI":"10.1007\/s11119-021-09814-x","article-title":"Acceptance of Artificial Intelligence in German Agriculture: An Application of the Technology Acceptance Model and the Theory of Planned Behavior","volume":"22","author":"Mohr","year":"2021","journal-title":"Precis. Agric."},{"key":"ref_41","unstructured":"Asian Development Bank (2018). Internet Plus Agriculture: A New Engine for Rural Economic Growth in the People\u2019s Republic of China, Asian Development Bank."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.compag.2018.12.011","article-title":"IoT and Agriculture Data Analysis for Smart Farm","volume":"156","author":"Muangprathub","year":"2019","journal-title":"Comput. Electron. Agric."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"N\u00f3brega, L., Tavares, A., Cardoso, A., and Gon\u00e7alves, P. (2018, January 8\u20139). Animal Monitoring Based on IoT Technologies. Proceedings of the 2018 IoT Vertical and Topical Summit on Agriculture\u2014Tuscany (IOT Tuscany), Tuscany, Italy.","DOI":"10.1109\/IOT-TUSCANY.2018.8373045"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Wasson, T., Choudhury, T., Sharma, S., and Kumar, P. (2017, January 17\u201319). Integration of RFID and Sensor in Agriculture Using IOT. Proceedings of the 2017 International Conference on Smart Technologies for Smart Nation (SmartTechCon), Bengaluru, India.","DOI":"10.1109\/SmartTechCon.2017.8358372"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"n71","DOI":"10.1136\/bmj.n71","article-title":"The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews","volume":"372","author":"Page","year":"2021","journal-title":"BMJ"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1007\/s11192-020-03690-4","article-title":"Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations\u2019 COCI: A Multidisciplinary Comparison of Coverage via Citations","volume":"126","author":"Thelwall","year":"2021","journal-title":"Scientometrics"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1162\/qss_a_00018","article-title":"Web of Science as a Data Source for Research on Scientific and Scholarly Activity","volume":"1","author":"Birkle","year":"2020","journal-title":"Quant. Sci. Stud."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1162\/qss_a_00019","article-title":"Scopus as a Curated, High-Quality Bibliometric Data Source for Academic Research in Quantitative Science Studies","volume":"1","author":"Baas","year":"2020","journal-title":"Quant. Sci. Stud."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Gl\u00e4nzel, W., Moed, H.F., Schmoch, U., and Thelwall, M. (2019). Google Scholar as a Data Source for Research Assessment. Springer Handbook of Science and Technology Indicators, Springer International Publishing. Springer Handbooks.","DOI":"10.1007\/978-3-030-02511-3"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s11192-018-2958-5","article-title":"Google Scholar to Overshadow Them All? Comparing the Sizes of 12 Academic Search Engines and Bibliographic Databases","volume":"118","author":"Gusenbauer","year":"2019","journal-title":"Scientometrics"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1016\/j.joi.2017.06.005","article-title":"Suitability of Google Scholar as a Source of Scientific Information and as a Source of Data for Scientific Evaluation\u2014Review of the Literature","volume":"11","author":"Halevi","year":"2017","journal-title":"J. Informetr."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1637","DOI":"10.1007\/s11192-016-2026-y","article-title":"Microsoft Academic (Search): A Phoenix Arisen from the Ashes?","volume":"108","author":"Harzing","year":"2016","journal-title":"Scientometrics"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1007\/s11192-015-1798-9","article-title":"Google Scholar, Scopus and the Web of Science: A Longitudinal and Cross-Disciplinary Comparison","volume":"106","author":"Harzing","year":"2016","journal-title":"Scientometrics"},{"key":"ref_54","unstructured":"Mart\u00edn-Mart\u00edn, A. (2024, July 28). Code to Extract Bibliographic Data from Google Scholar. Available online: https:\/\/github.com\/alberto-martin\/googlescholar."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.joi.2016.04.017","article-title":"A New Methodology for Comparing Google Scholar and Scopus","volume":"10","author":"Moed","year":"2016","journal-title":"J. Informetr."},{"key":"ref_56","unstructured":"(2023, July 29). Scopus\u2014Document Search. Available online: https:\/\/www.scopus.com\/search\/form.uri?display=basic#basic."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.biosystemseng.2017.09.007","article-title":"Internet of Things in Agriculture, Recent Advances and Future Challenges","volume":"164","author":"Tzounis","year":"2017","journal-title":"Biosyst. Eng."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1109\/MCOM.2019.1800332","article-title":"A Life Cycle Framework of Green IoT-Based Agriculture and Its Finance, Operation, and Management Issues","volume":"57","author":"Ruan","year":"2019","journal-title":"IEEE Commun. Mag."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1111\/j.1540-5915.1997.tb01315.x","article-title":"Toward an Understanding of the Behavioral Intention to Use an Information System","volume":"28","author":"Jackson","year":"1997","journal-title":"Decis. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1111\/j.1540-5915.1999.tb01614.x","article-title":"Are Individual Differences Germane to the Acceptance of New Information Technologies?","volume":"30","author":"Agarwal","year":"1999","journal-title":"Decis. Sci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S0378-7206(98)00101-3","article-title":"Extending the Technology Acceptance Model with Task\u2013Technology Fit Constructs","volume":"36","author":"Dishaw","year":"1999","journal-title":"Inf. Manag."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1007\/s12564-009-9066-4","article-title":"Examining the Influence of Subjective Norm and Facilitating Conditions on the Intention to Use Technology among Pre-Service Teachers: A Structural Equation Modeling of an Extended Technology Acceptance Model","volume":"11","author":"Teo","year":"2010","journal-title":"Asia Pac. Educ. Rev."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"319","DOI":"10.2307\/249008","article-title":"Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology","volume":"13","author":"Davis","year":"1989","journal-title":"MIS Q."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"425","DOI":"10.2307\/30036540","article-title":"User Acceptance of Information Technology: Toward a Unified View","volume":"27","author":"Venkatesh","year":"2003","journal-title":"MIS Q."},{"key":"ref_65","first-page":"428","article-title":"Age and Gender Differences in Online Travel Reviews and User-Generated-Content (UGC) Adoption: Extending the Technology Acceptance Model (TAM) with Credibility Theory","volume":"29","author":"Assaker","year":"2020","journal-title":"J. Hosp. Mark. Manag."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.ausmj.2020.01.002","article-title":"Would You like to Shop via Mobile App Technology? The Technology Acceptance Model, Social Factors and Purchase Intention","volume":"29","author":"Vahdat","year":"2021","journal-title":"Australas. Mark. J."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1080\/15470148.2020.1719949","article-title":"Conference Mobile Application: Participant Acceptance and the Correlation with Overall Event Satisfaction Utilizing the Technology Acceptance Model (TAM)","volume":"21","author":"Talantis","year":"2020","journal-title":"J. Conv. Event Tour."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.tifs.2019.02.040","article-title":"A State-of-the-Art Review on Facilitating Sustainable Agriculture through Green Fertilizer Technology Adoption: Assessing Farmers Behavior","volume":"86","author":"Adnan","year":"2019","journal-title":"Trends Food Sci. Technol."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Bukchin, S., and Kerret, D. (2018). Food for Hope: The Role of Personal Resources in Farmers\u2019 Adoption of Green Technology. Sustainability, 10.","DOI":"10.3390\/su10051615"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"105627","DOI":"10.1016\/j.landusepol.2021.105627","article-title":"Time Preferences and Green Agricultural Technology Adoption: Field Evidence from Rice Farmers in China","volume":"109","author":"Mao","year":"2021","journal-title":"Land Use Policy"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Monteiro, A., Santos, S., and Gon\u00e7alves, P. (2021). Precision Agriculture for Crop and Livestock Farming\u2014Brief Review. Animals, 11.","DOI":"10.3390\/ani11082345"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1007\/s40003-021-00539-x","article-title":"Precision Agriculture: Where Do We Stand? A Review of the Adoption of Precision Agriculture Technologies on Field Crops Farms in Developed Countries","volume":"10","author":"Nowak","year":"2021","journal-title":"Agric. Res."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Memon, K., Umrani, F.A., Baqai, A., and Syed, Z.S. (2023, January 17). A Review Based on Comparative Analysis of Techniques Used in Precision Agriculture. Proceedings of the 2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Sukkur, Pakistan.","DOI":"10.1109\/iCoMET57998.2023.10099182"},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Ramil Brick, E.S., Holland, J., Anagnostou, D.E., Brown, K., and Desmulliez, M.P.Y. (2022). A Review of Agroforestry, Precision Agriculture, and Precision Livestock Farming\u2014The Case for a Data-Driven Agroforestry Strategy. Front. Sens., 3.","DOI":"10.3389\/fsens.2022.998928"},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"G\u00fcrsoy, S., and Ak\u0131n, S. (2024). A Review of the Factors Affecting Adoption of Precision Agriculture Applications in Cotton Production. Agricultural Sciences, IntechOpen.","DOI":"10.5772\/intechopen.114113"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"363","DOI":"10.9734\/ijpss\/2024\/v36i54534","article-title":"A Review on Precision Agriculture: An Evolution and Prospect for the Future","volume":"36","author":"Maurya","year":"2024","journal-title":"Int. J. Plant Soil Sci."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Soussi, A., Zero, E., Sacile, R., Trinchero, D., and Fossa, M. (2024). Smart Sensors and Smart Data for Precision Agriculture: A Review. Sensors, 24.","DOI":"10.3390\/s24082647"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1007\/s11119-018-09624-8","article-title":"Architecture Design Approach for IoT-Based Farm Management Information Systems","volume":"20","author":"Tekinerdogan","year":"2019","journal-title":"Precis. Agric."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1016\/j.compag.2019.05.027","article-title":"IoT Based Low Cost and Intelligent Module for Smart Irrigation System","volume":"162","author":"Nawandar","year":"2019","journal-title":"Comput. Electron. Agric."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"100187","DOI":"10.1016\/j.iot.2020.100187","article-title":"Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in Smart Farming: A Comprehensive Review","volume":"18","author":"Boursianis","year":"2022","journal-title":"Internet Things"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s42853-020-00078-3","article-title":"A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation","volume":"45","author":"Kim","year":"2020","journal-title":"J. Biosyst. Eng."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"156237","DOI":"10.1109\/ACCESS.2019.2949703","article-title":"A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming","volume":"7","author":"Farooq","year":"2019","journal-title":"IEEE Access"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"338","DOI":"10.3390\/agriengineering5010022","article-title":"UAV-Based Wireless Data Collection from Underground Sensor Nodes for Precision Agriculture","volume":"5","author":"Holtorf","year":"2023","journal-title":"AgriEngineering"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Imran, M.A., Abbasi, Q., Onireti, O., and Ansari, S. (2021). Unmanned Aerial Vehicles for Agriculture: An Overview of IoT-Based Scenarios. Autonomous Airborne Wireless Networks, Wiley.","DOI":"10.1002\/9781119751717"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Mohindru, V., Singh, Y., Bhatt, R., and Gupta, A.K. (2021). Internet of Things and UAV: An Interoperability Perspective. Unmanned Aerial Vehicles for Internet of Things (IoT), Wiley.","DOI":"10.1002\/9781119769170"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Mohanty, S.N., Ravindra, J.V.R., Surya Narayana, G., Pattnaik, C.R., and Mohamed Sirajudeen, Y. (2023). IoT-Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming. Drone Technology, Wiley.","DOI":"10.1002\/9781394168002"},{"key":"ref_87","unstructured":"Vasisht, D., Kapetanovic, Z., Won, J., Jin, X., Chandra, R., Kapoor, A., Sinha, S.N., Sudarshan, M., and Stratman, S. (2017, January 27\u201329). FarmBeats: An IoT Platform for Data-Driven Agriculture. Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2017, Boston, MA, USA."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"107037","DOI":"10.1016\/j.comnet.2019.107037","article-title":"Survey, Comparison and Research Challenges of IoT Application Protocols for Smart Farming","volume":"168","author":"Glaroudis","year":"2020","journal-title":"Comput. Netw."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Antony, A.P., Leith, K., Jolley, C., Lu, J., and Sweeney, D.J. (2020). A Review of Practice and Implementation of the Internet of Things (IoT) for Smallholder Agriculture. Sustainability, 12.","DOI":"10.3390\/su12093750"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.compag.2017.09.015","article-title":"Review of IoT Applications in Agro-Industrial and Environmental Fields","volume":"142","author":"Talavera","year":"2017","journal-title":"Comput. Electron. Agric."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"3758","DOI":"10.1109\/JIOT.2018.2844296","article-title":"An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges","volume":"5","author":"Elijah","year":"2018","journal-title":"IEEE Internet Things J."},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Anand, A., Trivedi, N.K., Gautam, V., Tiwari, R.G., Witarsyah, D., and Misra, A. (2022, January 23\u201324). Applications of Internet of Things (IoT) in Agriculture: The Need and Implementation. Proceedings of the 2022 International Conference Advancement in Data Science, E-Learning and Information Systems (ICADEIS), Bandung, Indonesia.","DOI":"10.1109\/ICADEIS56544.2022.10037505"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.bushor.2015.03.008","article-title":"The Internet of Things (IoT): Applications, Investments, and Challenges for Enterprises","volume":"58","author":"Lee","year":"2015","journal-title":"Bus. Horiz."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1109\/JIOT.2014.2337336","article-title":"A Vision of IoT: Applications, Challenges, and Opportunities with China Perspective","volume":"1","author":"Chen","year":"2014","journal-title":"IEEE Internet Things J."},{"key":"ref_95","first-page":"11","article-title":"Internet of things in smart agriculture: Applications and open challenges","volume":"8","author":"Bhatnagar","year":"2020","journal-title":"Int. J. Stud. Res. Technol. Manag."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.comcom.2020.11.016","article-title":"Industrial Internet of Things and Its Applications in Industry 4.0: State of The Art","volume":"166","author":"Malik","year":"2021","journal-title":"Comput. Commun."},{"key":"ref_97","first-page":"83","article-title":"Internet of Things (IoT) in Agriculture\u2014Selected Aspects","volume":"8","author":"Masner","year":"2016","journal-title":"AGRIS -Line Pap. Econ. Inform."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"395","DOI":"10.3233\/AIS-170440","article-title":"Internet of Things for Smart Agriculture: Technologies, Practices and Future Direction","volume":"9","author":"Ray","year":"2017","journal-title":"J. Ambient Intell. Smart Environ."},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Kamienski, C., Soininen, J.-P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., and Torre Neto, A. (2019). Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture. Sensors, 19.","DOI":"10.3390\/s19020276"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.compag.2015.08.011","article-title":"Wireless Sensor Networks for Agriculture: The State-of-the-Art in Practice and Future Challenges","volume":"118","author":"Ojha","year":"2015","journal-title":"Comput. Electron. Agric."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.1007\/s12652-019-01359-2","article-title":"An Improved Energy Efficient System for IoT Enabled Precision Agriculture","volume":"11","author":"Agrawal","year":"2020","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/s11277-019-06407-w","article-title":"IoT Technology, Applications and Challenges: A Contemporary Survey","volume":"108","author":"Balaji","year":"2019","journal-title":"Wirel. Pers. Commun."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"164","DOI":"10.20965\/jrm.2005.p0164","article-title":"National Agricultural Research Center, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8666, Japan Field Monitoring Using Sensor-Nodes with a Web Server","volume":"17","author":"Fukatsu","year":"2005","journal-title":"J. Robot. Mechatron."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"100830","DOI":"10.1016\/j.iot.2023.100830","article-title":"Smart Platform Based on IoT and WSN for Monitoring and Control of a Greenhouse in the Context of Precision Agriculture","volume":"23","author":"Benyezza","year":"2023","journal-title":"Internet Things"},{"key":"ref_105","doi-asserted-by":"crossref","unstructured":"Pallavi, S., Mallapur, J.D., and Bendigeri, K.Y. (2017, January 20\u201322). Remote Sensing and Controlling of Greenhouse Agriculture Parameters Based on IoT. Proceedings of the 2017 International Conference on Big Data, IoT and Data Science (BID), Pune, India.","DOI":"10.1109\/BID.2017.8336571"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s42452-019-0227-8","article-title":"A Layered IoT Architecture for Greenhouse Monitoring and Remote Control","volume":"1","author":"Ibrahim","year":"2019","journal-title":"SN Appl. Sci."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"338","DOI":"10.18196\/jrc.v3i3.14159","article-title":"Internet of Things Applications in Precision Agriculture: A Review","volume":"3","author":"Abu","year":"2022","journal-title":"J. Robot. Control"},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Dan, L., Xin, C., Chongwei, H., and Liangliang, J. (2015, January 19\u201320). Intelligent Agriculture Greenhouse Environment Monitoring System Based on IOT Technology. Proceedings of the 2015 International Conference on Intelligent Transportation, Big Data and Smart City, Halong Bay, Vietnam.","DOI":"10.1109\/ICITBS.2015.126"},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.compag.2017.03.003","article-title":"On Precisely Relating the Growth of Phalaenopsis Leaves to Greenhouse Environmental Factors by Using an IoT-Based Monitoring System","volume":"136","author":"Liao","year":"2017","journal-title":"Comput. Electron. Agric."},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Panchasara, H., Samrat, N.H., and Islam, N. (2021). Greenhouse Gas Emissions Trends and Mitigation Measures in Australian Agriculture Sector\u2014A Review. Agriculture, 11.","DOI":"10.3390\/agriculture11020085"},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"100105","DOI":"10.1016\/j.atech.2022.100105","article-title":"Applications of Extended Reality (XR) in Agriculture, Livestock Farming, and Aquaculture: A Review","volume":"3","author":"Anastasiou","year":"2023","journal-title":"Smart Agric. Technol."},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Kungu, J.M., Ejobi, F., Okuyo, B.A., Namayanja, J., Namyalo, E., and Meeme, R. (2023). Animal Source Foods Quality and Safety Standards Implementation in Uganda. A Review. Preprint.","DOI":"10.21203\/rs.3.rs-2727321\/v1"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"100429","DOI":"10.1016\/j.animal.2021.100429","article-title":"Review: Precision Livestock Farming Technologies in Pasture-Based Livestock Systems","volume":"16","author":"Aquilani","year":"2022","journal-title":"Animal"},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"103497","DOI":"10.1016\/j.agsy.2022.103497","article-title":"(Frank); Shi, Y.; Ge, Y. Ag-IoT for Crop and Environment Monitoring: Past, Present, and Future","volume":"203","author":"Chamara","year":"2022","journal-title":"Agric. Syst."},{"key":"ref_115","doi-asserted-by":"crossref","unstructured":"Nielsen, L. (2011). Classifications of Countries Based on Their Level of Development: How It Is Done and How It Could Be Done, International Monetary Fund.","DOI":"10.2139\/ssrn.1755448"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"5209","DOI":"10.1109\/JIOT.2019.2899128","article-title":"AgriTalk: IoT for Precision Soil Farming of Turmeric Cultivation","volume":"6","author":"Chen","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_117","doi-asserted-by":"crossref","unstructured":"Mensah, P., Katerere, D., Hachigonta, S., and Roodt, A. (2018). Precision Agriculture and Food Security in Africa. Systems Analysis Approach for Complex Global Challenges, Springer International Publishing.","DOI":"10.1007\/978-3-319-71486-8"},{"key":"ref_118","unstructured":"Rusch, P.C. (2005). Precision Farming in South Africa. [Ph.D. Thesis, University of Pretoria]."},{"key":"ref_119","doi-asserted-by":"crossref","unstructured":"Munghemezulu, C., Mashaba-Munghemezulu, Z., Ratshiedana, P.E., Economon, E., Chirima, G., and Sibanda, S. (2023). Unmanned Aerial Vehicle (UAV) and Spectral Datasets in South Africa for Precision Agriculture. Data, 8.","DOI":"10.3390\/data8060098"},{"key":"ref_120","unstructured":"Ahmed, F., Houessenou, P., Nikiema, A., and Zougmore, R. (2021). Transforming Agriculture in Africa\u2019s Small Island Developing States: Lessons Learnt and Options for Climate-Smart Agriculture Investments in Cabo Verde, Guinea-Bissau and Seychelles, Food and Agriculture Organization."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"5847","DOI":"10.1007\/s10708-023-10945-z","article-title":"Farm Households\u2019 Adoption of Climate-Smart Agricultural Practices: Empirical Evidence from Seychelles","volume":"88","author":"Etongo","year":"2023","journal-title":"GeoJournal"},{"key":"ref_122","doi-asserted-by":"crossref","unstructured":"Etongo, D. (2023). A Situational Analysis of Agricultural Development, Food, and Livelihood Security in Seychelles: Where to from Here?. PLOS Clim., 2.","DOI":"10.1371\/journal.pclm.0000192"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1080\/19480881.2018.1471122","article-title":"How Do Small Island States Maximize Influence? Creole Diplomacy and the Smart State Foreign Policy of the Seychelles","volume":"14","author":"Bueger","year":"2018","journal-title":"J. Indian Ocean Reg."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1002\/pam.21675","article-title":"Spillover Effects of Voluntary Environmental Programs on Greenhouse Gas Emissions: Lessons from Mexico","volume":"32","author":"Henriques","year":"2013","journal-title":"J. Policy Anal. Manag."},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.ecolecon.2018.01.035","article-title":"Urban Spatial Form and Structure and Greenhouse-Gas Emissions from Commuting in the Metropolitan Zone of Mexico Valley","volume":"147","year":"2018","journal-title":"Ecol. Econ."},{"key":"ref_126","unstructured":"Molina, L.T., de Foy, B., V\u00e1zquez Mart\u00ednez, O., and P\u00e1ramo Figueroa, V.H. (2009). Air Quality, Weather and Climate in Mexico City. WMO Bull., 58."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/ngeo2201","article-title":"Regional Rainfall Decline in Australia Attributed to Anthropogenic Greenhouse Gases and Ozone Levels","volume":"7","author":"Delworth","year":"2014","journal-title":"Nat. Geosci."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/S1361-9209(99)00009-7","article-title":"Total Requirements of Energy and Greenhouse Gases for Australian Transport","volume":"4","author":"Lenzen","year":"1999","journal-title":"Transp. Res. Part Transp. Environ."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"104971","DOI":"10.1016\/j.eneco.2020.104971","article-title":"Convergence and Determinants of Greenhouse Gas Emissions in Australia: A Regional Analysis","volume":"92","author":"Ivanovski","year":"2020","journal-title":"Energy Econ."},{"key":"ref_130","unstructured":"Dostain, D.A., Mengal, D.I.A., and Alizai, D.S.H. (2021). Production trends in livestock and animal husbandry sector: A case study of Balochistan Province. Pak. J. Int. Aff., 4."},{"key":"ref_131","first-page":"795","article-title":"Enhancing Livestock Productivity in the Desert Ecologies of Pakistan: Setting the Development Priorities","volume":"48","author":"Farooq","year":"2009","journal-title":"Pak. Dev. Rev."},{"key":"ref_132","first-page":"124","article-title":"Sustainable rural development through women\u2019s engagement in livestock sector in Punjab, Pakistan","volume":"16","author":"Manzoor","year":"2018","journal-title":"Pak. J. Life Soc. Sci."},{"key":"ref_133","first-page":"70","article-title":"A Review of Internet of Things Application in Malaysia","volume":"4","author":"Tiwary","year":"2022","journal-title":"Boneo J. Sci. Technol."},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1111\/1541-4337.12101","article-title":"Comparison of Global Food Traceability Regulations and Requirements","volume":"13","author":"Charlebois","year":"2014","journal-title":"Compr. Rev. Food Sci. Food Saf."},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"49","DOI":"10.2174\/1874256400802010049","article-title":"Risk Management and Quality Assurance Through the Food Supply Chain\u2014Case Studies in the Swedish Food Industry","volume":"2","author":"Olsson","year":"2008","journal-title":"Open Food Sci. J."},{"key":"ref_136","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.foodcont.2012.12.011","article-title":"Literature Review: Does a Common Theoretical Framework to Implement Food Traceability Exist?","volume":"32","author":"Karlsen","year":"2013","journal-title":"Food Control"},{"key":"ref_137","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.foodcont.2013.02.004","article-title":"Food Traceability as an Integral Part of Logistics Management in Food and Agricultural Supply Chain","volume":"33","author":"Bosona","year":"2013","journal-title":"Food Control"},{"key":"ref_138","first-page":"534","article-title":"How Public Policy Can Stimulate the Capabilities of Firms to Innovate in a Traditional Industry through Academic Engagement: The Case of the Swedish Food Industry","volume":"47","author":"McKelvey","year":"2017","journal-title":"RD Manag."},{"key":"ref_139","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1111\/agec.12533","article-title":"Can improved agricultural technologies spur a green revolution in Africa? A multicountry analysis of seed and fertilizer delivery systems","volume":"50","author":"Ariga","year":"2019","journal-title":"Agric. Econ."},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"104928","DOI":"10.1016\/j.worlddev.2020.104928","article-title":"The Supply Chain for Seed in Uganda: Where Does It Go Wrong?","volume":"130","author":"Barriga","year":"2020","journal-title":"World Dev."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.4315\/0362-028X-70.5.1286","article-title":"An Overview of Microbial Food Safety Programs in Beef, Pork, and Poultry from Farm to Processing in Canada","volume":"70","author":"Waddell","year":"2007","journal-title":"J. Food Prot."},{"key":"ref_142","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1111\/j.1744-7976.2005.00412.x","article-title":"Traceability in the Canadian Red Meat Sector: Do Consumers Care?","volume":"53","author":"Hobbs","year":"2005","journal-title":"Can. J. Agric. Econ. Can. Agroecon."},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"5043","DOI":"10.1111\/1541-4337.12816","article-title":"A Review of Canadian and International Food Safety Systems: Issues and Recommendations for the Future","volume":"20","author":"Charlebois","year":"2021","journal-title":"Compr. Rev. Food Sci. Food Saf."},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.fm.2017.09.019","article-title":"Selection of Risk Factors to Be Included in the Canadian Food Inspection Agency Risk Assessment Inspection Model for Food Establishments","volume":"75","author":"Zanabria","year":"2018","journal-title":"Food Microbiol."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/15\/8\/466\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:30:40Z","timestamp":1760110240000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/15\/8\/466"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,6]]},"references-count":144,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["info15080466"],"URL":"https:\/\/doi.org\/10.3390\/info15080466","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,6]]}}}