{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T09:40:24Z","timestamp":1785577224980,"version":"3.56.0"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,1,25]],"date-time":"2021-01-25T00:00:00Z","timestamp":1611532800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,25]],"date-time":"2021-01-25T00:00:00Z","timestamp":1611532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s12652-021-02908-4","type":"journal-article","created":{"date-parts":[[2021,1,25]],"date-time":"2021-01-25T09:07:47Z","timestamp":1611565667000},"page":"407-424","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["IoE based framework for smart agriculture"],"prefix":"10.1007","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8100-4860","authenticated-orcid":false,"given":"Hitesh","family":"Mohapatra","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amiya Kumar","family":"Rath","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,1,25]]},"reference":[{"key":"2908_CR1","doi-asserted-by":"publisher","unstructured":"Ansari F (2019) Knowledge management 4.0: theoretical and practical considerations in cyber physical production systems. IFAC-PapersOnLine 52(13):1597\u20131602, https:\/\/doi.org\/10.1016\/j.ifacol.2019.11.428, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2405896319314090, 9th IFAC conference on manufacturing modelling, management and control MIM 2019","DOI":"10.1016\/j.ifacol.2019.11.428"},{"key":"2908_CR2","doi-asserted-by":"publisher","unstructured":"Askari MS, Holden NM (2015a) Quantitative soil quality indexing of temperate arable management systems. Soil Tillage Res 150:57\u201367, https:\/\/doi.org\/10.1016\/j.still.2015.01.010,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X","DOI":"10.1016\/j.still.2015.01.010,"},{"key":"2908_CR3","doi-asserted-by":"publisher","unstructured":"Askari MS, Holden NM (2015b) Quantitative soil quality indexing of temperate arable management systems. Soil Tillage Res 150:57\u201367. https:\/\/doi.org\/10.1016\/j.still.2015.01.010. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X.","DOI":"10.1016\/j.still.2015.01.010"},{"key":"2908_CR4","doi-asserted-by":"publisher","unstructured":"Bencini L, Maddio S, Collodi G, Di\u00a0Palma D, Manes G, Manes A (2012) Development of wireless sensor networks for agricultural monitoring, Springer, Berlin. pp 157\u2013186. https:\/\/doi.org\/10.1007\/978-3-642-27638-5_9","DOI":"10.1007\/978-3-642-27638-5_9"},{"key":"2908_CR5","doi-asserted-by":"publisher","unstructured":"B\u00fcnemann EK, Bongiorno G, Bai Z, Creamer RE, Deyn GD, de Goede R, Fleskens L, Geissen V, Kuyper TW, M\u00e4der P, Pulleman M, Sukkel W, van Groenigen JW, Brussaard L (2018) Soil quality\u2014a critical review. Soil Biol Biochem 120:105\u2013125, https:\/\/doi.org\/10.1016\/j.soilbio.2018.01.030http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0038071718300294","DOI":"10.1016\/j.soilbio.2018.01.030"},{"key":"2908_CR6","doi-asserted-by":"publisher","unstructured":"Capestro M, Kinkel S (2020) Industry 4.0 and knowledge management: a review of empirical studies. Springer, Cham, pp 19\u201352. https:\/\/doi.org\/10.1007\/978-3-030-43589-9_2","DOI":"10.1007\/978-3-030-43589-9_2"},{"key":"2908_CR7","unstructured":"CISCO (2013) The internet of everything global public sector economic analysis. University of Georgia, Griffin. https:\/\/www.cisco.com"},{"key":"2908_CR8","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-981-13-0514-6_25","volume-title":"Soft Comput Data Anal","author":"RK Das","year":"2019","unstructured":"Das RK, Panda M, Dash SS (2019) Smart agriculture system in India using internet of things. In: Nayak J, Abraham A, Krishna BM, Chandra Sekhar GT, Das AK (eds) Soft Comput Data Anal. Springer Singapore, Singapore, pp 247\u2013255"},{"key":"2908_CR9","unstructured":"FAOUN (2019) Climate-smart agriculture. FAO, http:\/\/www.fao.org\/climate-smart-agriculture\/overview\/en\/"},{"key":"2908_CR10","volume-title":"Dare to understand and measure (datum)\u2014a literature review of monitoring and evaluation (m&e) frameworks for climate-smart agriculture","author":"H Jacobs","year":"2019","unstructured":"Jacobs H, Al-Azar, (2019) Dare to understand and measure (datum)\u2014a literature review of monitoring and evaluation (m&e) frameworks for climate-smart agriculture. FAO, Rome"},{"key":"2908_CR11","doi-asserted-by":"publisher","unstructured":"Kamilaris A, Kartakoullis A, Prenafeta-Bold\u00fa FX (2017) A review on the practice of big data analysis in agriculture. Comput Electron Agric 143:23\u201337, https:\/\/doi.org\/10.1016\/j.compag.2017.09.037,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0168169917301230","DOI":"10.1016\/j.compag.2017.09.037,"},{"key":"2908_CR12","doi-asserted-by":"publisher","unstructured":"Karim F, Karim F, frihida A (2017) Monitoring system using web of things in precision agriculture. Procedia Computer Science 110:402\u2013409, https:\/\/doi.org\/10.1016\/j.procs.2017.06.083, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140900, 14th International conference on mobile systems and pervasive computing (MobiSPC 2017) \/ 12th international conference on future networks and communications (FNC 2017) \/ Affiliated Workshops","DOI":"10.1016\/j.procs.2017.06.083"},{"issue":"5","key":"2908_CR13","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1007\/s11119-018-09624-8","volume":"20","author":"\u00d6 K\u00f6ksal","year":"2019","unstructured":"K\u00f6ksal \u00d6, Tekinerdogan B (2019) Architecture design approach for iot-based farm management information systems. Precis Agric 20(5):926\u2013958. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140901","journal-title":"Precis Agric"},{"key":"2908_CR14","doi-asserted-by":"publisher","first-page":"2674","DOI":"10.3390\/s18082674","volume":"18","author":"Liakos PMDPSBD Konstantinos G; Busato","year":"2018","unstructured":"Liakos PMDPSBD Konstantinos G; Busato (2018) Machine learning in agriculture: a review. Sensors MDPI 18:2674","journal-title":"Sensors MDPI"},{"issue":"4","key":"2908_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.14569\/IJACSA.2019.0100402","volume":"10","author":"AAR Madushanki","year":"2019","unstructured":"Madushanki AAR, Halgamuge MN, Wirasagoda WAHS, Syed A (2019) Adoption of the internet of things (iot) in agriculture and smart farming towards urban greening: a review. Int J Adv Comput Sci Appl 10(4):1. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140902","journal-title":"Int J Adv Comput Sci Appl"},{"key":"2908_CR16","doi-asserted-by":"publisher","first-page":"2674","DOI":"10.1186\/s40537-017-0077-4ID","volume":"20","author":"Majumdar SAS Jharna; Naraseeyappa","year":"2017","unstructured":"Majumdar SAS Jharna; Naraseeyappa (2017) Analysis of agriculture data using data mining techniques: application of big data. J Big Data SP 20:2674. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140903","journal-title":"J Big Data SP"},{"key":"2908_CR17","doi-asserted-by":"publisher","unstructured":"Mat I, Mohd Kassim MR, Harun AN, Yusoff IM (2018) Smart agriculture using internet of things. In: 2018 IEEE conference on open systems (ICOS), pp 54\u201359, https:\/\/doi.org\/10.1109\/ICOS.2018.8632817","DOI":"10.1109\/ICOS.2018.8632817"},{"key":"2908_CR18","unstructured":"MathWorks (2019) Getting into the weeds:farmers rely on artificial intelligence to boost production. MathWorks.stories, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140904"},{"key":"2908_CR19","doi-asserted-by":"publisher","unstructured":"Mekala MS, Viswanathan P (2017) A survey: Smart agriculture iot with cloud computing. In: 2017 International conference on microelectronic devices, circuits and systems (ICMDCS), pp 1\u20137, https:\/\/doi.org\/10.1109\/ICMDCS.2017.8211551","DOI":"10.1109\/ICMDCS.2017.8211551"},{"key":"2908_CR20","unstructured":"MICCA (2014) Mitigation of climate change in agriculture (micca) programme. FAO, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140905"},{"key":"2908_CR21","doi-asserted-by":"publisher","unstructured":"Mohanraj I, Ashokumar K, Naren J (2016) Field monitoring and automation using iot in agriculture domain. Procedia Computer Science 93:931\u2013939, https:\/\/doi.org\/10.1016\/j.procs.2016.07.275, http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140906, proceedings of the 6th international conference on advances in computing and communications","DOI":"10.1016\/j.procs.2016.07.275"},{"key":"2908_CR22","doi-asserted-by":"crossref","unstructured":"Mohapatra H (2019) Detection and avoidance of water loss through municipality taps in india by using smart taps and ict. IET Wirel Sensor Syst http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140907","DOI":"10.1049\/iet-wss.2019.0081"},{"key":"2908_CR23","doi-asserted-by":"publisher","unstructured":"Moncada MP, Gabriels D, Cornelis WM (2014) Data-driven analysis of soil quality indicators using limited data. Geoderma 235\u2013236:271\u2013278, https:\/\/doi.org\/10.1016\/j.geoderma.2014.07.014,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140908","DOI":"10.1016\/j.geoderma.2014.07.014,"},{"key":"2908_CR24","doi-asserted-by":"publisher","unstructured":"Nikolidakis SA, Kandris D, Vergados DD, Douligeris C (2015) Energy efficient automated control of irrigation in agriculture by using wireless sensor networks. Comput Electron Agric 113:154\u2013163, https:\/\/doi.org\/10.1016\/j.compag.2015.02.004,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S24058963193140909","DOI":"10.1016\/j.compag.2015.02.004,"},{"key":"2908_CR25","doi-asserted-by":"publisher","unstructured":"O\u2019Grady MJ, O\u2019Hare GM (2017) Modelling the smart farm. Inf Process Agric 4(3): 179\u2013187, https:\/\/doi.org\/10.1016\/j.inpa.2017.05.001,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X0","DOI":"10.1016\/j.inpa.2017.05.001,"},{"issue":"3","key":"2908_CR26","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1002\/ldr.2879","volume":"29","author":"P Panagos","year":"2018","unstructured":"Panagos P, Standardi G, Borrelli P, Lugato E, Montanarella L, Bosello F (2018) Cost of agricultural productivity loss due to soil erosion in the European union: from direct cost evaluation approaches to the use of macroeconomic models. Land Degr Dev 29(3):471\u2013484. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X1","journal-title":"Land Degr Dev"},{"key":"2908_CR27","doi-asserted-by":"publisher","unstructured":"Patil KA, Kale NR (2016) A model for smart agriculture using iot. In: 2016 international conference on global trends in signal processing, information computing and communication (ICGTSPICC), pp 543\u2013545, https:\/\/doi.org\/10.1109\/ICGTSPICC.2016.7955360","DOI":"10.1109\/ICGTSPICC.2016.7955360"},{"key":"2908_CR28","doi-asserted-by":"publisher","unstructured":"Patil P, H V, Patil S, Kulkarni U (2011) Wireless sensor network for precision agriculture. In: 2011 International conference on computational intelligence and communication networks, pp 763\u2013766, https:\/\/doi.org\/10.1109\/CICN.2011.169","DOI":"10.1109\/CICN.2011.169"},{"key":"2908_CR29","unstructured":"Peinl R (2017) Knowledge management 4.0 - lessons learned from it trends"},{"key":"2908_CR30","doi-asserted-by":"publisher","unstructured":"Petersen B, Snapp S (2015) What is sustainable intensification? views from experts. Land Use Policy 46:1\u201310, https:\/\/doi.org\/10.1016\/j.landusepol.2015.02.002,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X2","DOI":"10.1016\/j.landusepol.2015.02.002,"},{"key":"2908_CR31","doi-asserted-by":"publisher","unstructured":"Prathibha SR, Hongal A, Jyothi MP (2017) Iot based monitoring system in smart agriculture. In: 2017 international conference on recent advances in electronics and communication technology (ICRAECT), pp 81\u201384, https:\/\/doi.org\/10.1109\/ICRAECT.2017.52","DOI":"10.1109\/ICRAECT.2017.52"},{"key":"2908_CR32","unstructured":"Rains TDL Glen\u00a0C (2009) Precision farming: an introduction. University of Georgia, Griffin. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X3"},{"key":"2908_CR33","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez-Molano JI, Contreras-Bravo LE, Rivas-Trujillo E (2018) Industry knowledge management model 4.0. In: Rocha \u00c1, Guarda T (eds) Proceedings of the international conference on information technology and systems (ICITS 2018), Springer International Publishing, Cham, pp 275\u2013283","DOI":"10.1007\/978-3-319-73450-7_27"},{"key":"2908_CR34","unstructured":"Schriber S (2019) Smart agriculture sensors: Helping small farmers and positively impacting global issues, too. Mouser Electron http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X4"},{"key":"2908_CR35","doi-asserted-by":"publisher","unstructured":"Schwilch G, Bernet L, Fleskens L, Giannakis E, Leventon J, Mara\u00f1\u00f3n T, Mills J, Short C, Stolte J, van Delden H, Verzandvoort S (2016) Operationalizing ecosystem services for the mitigation of soil threats: a proposed framework. Ecol Indic 67:586\u2013597, https:\/\/doi.org\/10.1016\/j.ecolind.2016.03.016,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X5","DOI":"10.1016\/j.ecolind.2016.03.016,"},{"key":"2908_CR36","doi-asserted-by":"publisher","unstructured":"Sushanth G, Sujatha S (2018) Iot based smart agriculture system. In: 2018 international conference on wireless communications, signal processing and networking (WiSPNET), pp 1\u20134, https:\/\/doi.org\/10.1109\/WiSPNET.2018.8538702","DOI":"10.1109\/WiSPNET.2018.8538702"},{"key":"2908_CR37","doi-asserted-by":"publisher","unstructured":"Vuran MC, Salam A, Wong R, Irmak S (2018) Internet of underground things in precision agriculture: architecture and technology aspects. Ad Hoc Netw 81:160\u2013173, https:\/\/doi.org\/10.1016\/j.adhoc.2018.07.017,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X6","DOI":"10.1016\/j.adhoc.2018.07.017,"},{"key":"2908_CR38","doi-asserted-by":"publisher","first-page":"937","DOI":"10.3303\/CET1870157","volume":"70","author":"G Walmsley Timothy","year":"2018","unstructured":"Walmsley Timothy G, Petar RSJJK, Varbanov S (2018) The role of smart waste management in smart agriculture. Chem Eng Trans 70:937\u2013942. http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X7","journal-title":"Chem Eng Trans"},{"key":"2908_CR39","doi-asserted-by":"publisher","unstructured":"Yao R, Yang J, Gao P, Zhang J, Jin W (2013) Determining minimum data set for soil quality assessment of typical salt-affected farmland in the coastal reclamation area. Soil Tillage Res 128:137\u2013148, https:\/\/doi.org\/10.1016\/j.still.2012.11.007,http:\/\/www.sciencedirect.com\/science\/article\/pii\/S016719871500029X8","DOI":"10.1016\/j.still.2012.11.007,"},{"key":"2908_CR40","doi-asserted-by":"publisher","unstructured":"Yoon C, Huh M, Kang S, Park J, Lee C (2018) Implement smart farm with iot technology. In: 2018 20th international conference on advanced communication technology (ICACT), pp 749\u2013752, https:\/\/doi.org\/10.23919\/ICACT.2018.8323908","DOI":"10.23919\/ICACT.2018.8323908"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02908-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-021-02908-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02908-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,31]],"date-time":"2022-01-31T18:37:37Z","timestamp":1643654257000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-021-02908-4"}},"subtitle":["Networking among all agricultural attributes"],"short-title":[],"issued":{"date-parts":[[2021,1,25]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["2908"],"URL":"https:\/\/doi.org\/10.1007\/s12652-021-02908-4","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,25]]},"assertion":[{"value":"13 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}