{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T15:11:54Z","timestamp":1784733114777,"version":"3.55.0"},"reference-count":81,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T00:00:00Z","timestamp":1706572800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T00:00:00Z","timestamp":1706572800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This study\u2019s foremost objectives were to scrutinize how unexpected weather affects agricultural output and to assess how well AI-based machine learning and deep leaning algorithms work for spotting apple leaf diseases. The researchers carried out a bibliometric study to obtain understanding of the current research trends, citation patterns, ownership and partnership arrangements, publishing patterns, and other parameters related to early identification of apple illnesses. Comprehensive interdisciplinary scientific maps are limited because syndrome recognition is not restricted to any solitary arena of research, despite the fact that there have been many studies on the identification of apple diseases. By employing a scientometric technique and 109 publications from the Scopus database published between 2011 and 2022, this study attempted to assess the condition of the research area and combine knowledge frameworks. To find important journals, authors, nations, articles, and topics, the study used the automated processes of VOSviewer and Biblioshiny software. Patterns and trends were discovered using citation counts, social network analysis, and citation and co-citation studies.<\/jats:p>","DOI":"10.1007\/s10462-023-10628-8","type":"journal-article","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T04:02:47Z","timestamp":1706587367000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques"],"prefix":"10.1007","volume":"57","author":[{"given":"Anupam","family":"Bonkra","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sunil","family":"Pathak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amandeep","family":"Kaur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohd Asif","family":"Shah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,30]]},"reference":[{"issue":"3","key":"10628_CR1","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1080\/07060661.2019.1610070","volume":"41","author":"P Abbasi","year":"2019","unstructured":"Abbasi P, Ali S, Braun G, Bevis E, Fillmore SAE (2019) Reducing apple scab and frogeye or black rot infections with salicylic acid or its analogue on field-established apple trees. Can J Plant Pathol 41(3):345\u2013354. https:\/\/doi.org\/10.1080\/07060661.2019.1610070","journal-title":"Can J Plant Pathol"},{"key":"10628_CR2","doi-asserted-by":"crossref","unstructured":"Alruwaili M, Alanazi S, Abd El-Ghany S, Shehab A (2019) An efficient deep learning model for olive diseases detection. Int J Adv Comput Sci Appl 10(8)","DOI":"10.14569\/IJACSA.2019.0100863"},{"issue":"4","key":"10628_CR3","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1016\/j.joi.2017.08.007","volume":"11","author":"M Aria","year":"2017","unstructured":"Aria M, Cuccurullo C (2017) Bibliometrix: an r-tool for comprehensive science mapping analysis. J Informet 11(4):959\u2013975","journal-title":"J Informet"},{"key":"10628_CR4","unstructured":"Bashir T, Poudyal K, Bhattacharya T, Sambandam S (2011) Bashir et al 2011 Ottawa abstract"},{"issue":"2","key":"10628_CR5","first-page":"2","volume":"5","author":"T Belete","year":"2017","unstructured":"Belete T, Boyraz N (2017) Critical review on apple scab (Venturia inaequalis) biology, epidemiology, economic importance, management and defense mechanisms to the causal agent. J Plant Physiol Pathol 5(2):2","journal-title":"J Plant Physiol Pathol"},{"key":"10628_CR6","doi-asserted-by":"publisher","unstructured":"Bhardwaj R, Jaroli P, Singla C, Bhardwaj V, Mohapatra S (2022) Deep learning model based novel semantic analysis. In: 2022 2nd international conference on advance computing and innovative technologies in engineering (ICACITE), pp 1454\u20131458. https:\/\/doi.org\/10.1109\/ICACITE53722.2022.9823741","DOI":"10.1109\/ICACITE53722.2022.9823741"},{"key":"10628_CR7","doi-asserted-by":"crossref","unstructured":"Bonkra A, Dhiman P (2021) Iot security challenges in cloud environment. In: 2021 2nd international conference on computational methods in science & technology (ICCMST), pp 30\u201334. IEEE","DOI":"10.1109\/ICCMST54943.2021.00018"},{"key":"10628_CR8","doi-asserted-by":"crossref","unstructured":"Bonkra A, Dhiman P, Goyal S, Gupta N (2022a) A systematic study: implication of deep learning in plant disease detection. In: 2022 IEEE international conference on current development in engineering and technology (CCET), pp 1\u20136. IEEE","DOI":"10.1109\/CCET56606.2022.10080181"},{"key":"10628_CR9","doi-asserted-by":"crossref","unstructured":"Bonkra A, Noonia A, Kaur A (2022b) Apple leaf diseases detection system: a review of the different segmentation and deep learning methods. In: Artificial intelligence and data science: first international conference, ICAIDS 2021, Hyderabad, India, December 17\u201318, 2021, Revised Selected Papers. Springer, pp 263\u2013278","DOI":"10.1007\/978-3-031-21385-4_23"},{"issue":"4","key":"10628_CR10","doi-asserted-by":"publisher","first-page":"3222","DOI":"10.3390\/ijerph20043222","volume":"20","author":"A Bonkra","year":"2023","unstructured":"Bonkra A, Bhatt P, Rosak-Szyrocka J, Muduli K, Pila\u0159 L, Kaur A, Chahal N, Rana A (2023a) Apple leave disease detection using collaborative ml\/dl and artificial intelligence methods: scientometric analysis. Int J Environ Res Public Health 20(4):3222. https:\/\/doi.org\/10.3390\/ijerph20043222","journal-title":"Int J Environ Res Public Health"},{"key":"10628_CR11","doi-asserted-by":"crossref","unstructured":"Bonkra A, Bhatt PK, Kaur A, Kamboj S (2023b) Scientific landscape and the road ahead for deep learning: apple leaves disease detection. In: 2023 international conference on artificial intelligence and smart communication (AISC), pp 869\u2013873. IEEE","DOI":"10.1109\/AISC56616.2023.10085221"},{"issue":"3","key":"10628_CR12","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1145\/1897852.1897871","volume":"54","author":"K B\u00f6rner","year":"2011","unstructured":"B\u00f6rner K (2011) Science of science studies: Sci2 tool. Commun ACM 54(3):60\u201369","journal-title":"Commun ACM"},{"key":"10628_CR13","doi-asserted-by":"crossref","unstructured":"Bracino AA, Concepcion RS, Bedruz RAR, Dadios EP, Vicerra RRP (2020) Development of a hybrid machine learning model for apple (Malus domestica) health detection and disease classification. In: 2020 IEEE 12th international conference on humanoid, nanotechnology, information technology, communication and control, environment, and management (HNICEM), pp 1\u20136. IEEE","DOI":"10.1109\/HNICEM51456.2020.9400139"},{"key":"10628_CR14","doi-asserted-by":"crossref","unstructured":"Chalabi NE, Attia A, Akrouf S (2021) Machine learning and deep learning: recent overview in medical care. In: Internet of Things, infrastructures and mobile applications: proceedings of the 13th IMCL conference 13. Springer, New York, pp 223\u2013231","DOI":"10.1007\/978-3-030-49932-7_22"},{"issue":"2","key":"10628_CR15","doi-asserted-by":"publisher","first-page":"294","DOI":"10.3390\/agriengineering3020020","volume":"3","author":"ME Chowdhury","year":"2021","unstructured":"Chowdhury ME, Rahman T, Khandakar A, Ayari MA, Khan AU, Khan MS, Al-Emadi N, Reaz MBI, Islam MT, Ali SHM (2021) Automatic and reliable leaf disease detection using deep learning techniques. AgriEngineering 3(2):294\u2013312","journal-title":"AgriEngineering"},{"issue":"2","key":"10628_CR16","first-page":"74","volume":"10","author":"Z Chuanlei","year":"2017","unstructured":"Chuanlei Z, Shanwen Z, Jucheng Y, Yancui S, Jia C (2017) Apple leaf disease identification using genetic algorithm and correlation based feature selection method. Int J Agric Biol Eng 10(2):74\u201383","journal-title":"Int J Agric Biol Eng"},{"key":"10628_CR17","doi-asserted-by":"crossref","unstructured":"Cohen S (2021) The basics of machine learning: strategies and techniques. In: Artificial intelligence and deep learning in pathology. Elsevier, Amsterdam, pp 13\u201340","DOI":"10.1016\/B978-0-323-67538-3.00002-6"},{"key":"10628_CR18","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.joca.2013.02.479","volume":"21","author":"X Cui","year":"2013","unstructured":"Cui X, Li S, Yu M, Kim H, Kwack K-S, Min B-H (2013) Automatic cartilage segmentation and measurement for diagnosis of OA using 3d box and gaussian filters. Osteoarthr Cartil 21:232\u2013233","journal-title":"Osteoarthr Cartil"},{"issue":"4","key":"10628_CR19","doi-asserted-by":"publisher","first-page":"948","DOI":"10.3390\/electronics12040948","volume":"12","author":"P Dhiman","year":"2023","unstructured":"Dhiman P, Kaur A, Iwendi C, Mohan SK (2023a) A scientometric analysis of deep learning approaches for detecting fake news. Electronics 12(4):948","journal-title":"Electronics"},{"key":"10628_CR20","doi-asserted-by":"crossref","unstructured":"Dhiman P, Kaur A, Bonkra A (2023b) Fake information detection using deep learning methods: a survey. In: 2023 International conference on artificial intelligence and smart communication (AISC), pp 858\u2013863. IEEE","DOI":"10.1109\/AISC56616.2023.10085519"},{"issue":"2","key":"10628_CR21","doi-asserted-by":"publisher","first-page":"0262629","DOI":"10.1371\/journal.pone.0262629","volume":"17","author":"J Di","year":"2022","unstructured":"Di J, Li Q (2022) A method of detecting apple leaf diseases based on improved convolutional neural network. PLoS ONE 17(2):0262629","journal-title":"PLoS ONE"},{"key":"10628_CR22","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.jbusres.2021.04.070","volume":"133","author":"N Donthu","year":"2021","unstructured":"Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021) How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res 133:285\u2013296","journal-title":"J Bus Res"},{"key":"10628_CR23","doi-asserted-by":"crossref","unstructured":"Dubey SR, Jalal AS (2012) Detection and classification of apple fruit diseases using complete local binary patterns. In: 2012 third international conference on computer and communication technology, pp 346\u2013351. IEEE","DOI":"10.1109\/ICCCT.2012.76"},{"key":"10628_CR24","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1007\/s11760-015-0821-1","volume":"10","author":"SR Dubey","year":"2016","unstructured":"Dubey SR, Jalal AS (2016) Apple disease classification using color, texture and shape features from images. SIViP 10:819\u2013826","journal-title":"SIViP"},{"key":"10628_CR25","doi-asserted-by":"crossref","unstructured":"Dursunoglu S, Ertunc F (2006) Distribution of Apple mosaic Ilarvirus (ApMV) in Turkey. In: XX international symposium on virus and virus-like diseases of temperate fruit crops-fruit tree diseases, vol 781, pp 131\u2013134","DOI":"10.17660\/ActaHortic.2008.781.19"},{"key":"10628_CR26","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/3-540-44673-7_12","volume":"2049","author":"T Evgeniou","year":"2001","unstructured":"Evgeniou T, Pontil M (2001) Support vector machines: theory and applications. Adv Course Artif Intell 2049:249\u2013257. https:\/\/doi.org\/10.1007\/3-540-44673-7_12","journal-title":"Adv Course Artif Intell"},{"key":"10628_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-097086-8.72069-1","author":"D Forrest","year":"2015","unstructured":"Forrest D (2015) Thematic maps in geography. Int Encycl Soc Behav Sci. https:\/\/doi.org\/10.1016\/B978-0-08-097086-8.72069-1","journal-title":"Int Encycl Soc Behav Sci"},{"issue":"5","key":"10628_CR28","doi-asserted-by":"publisher","first-page":"40","DOI":"10.21786\/bbrc\/14.5\/8","volume":"14","author":"A Gawade","year":"2021","unstructured":"Gawade A (2021) Early-stage apple leaf disease prediction using deep learning. Biosci Biotechnol Res Commun 14(5):40\u201343","journal-title":"Biosci Biotechnol Res Commun"},{"issue":"5","key":"10628_CR29","doi-asserted-by":"publisher","first-page":"1583","DOI":"10.3390\/s21051583","volume":"21","author":"S Goyal","year":"2021","unstructured":"Goyal S, Bhushan S, Kumar Y, Rana AuHS, Bhutta MR, Ijaz MF, Son Y (2021) An optimized framework for energy-resource allocation in a cloud environment based on the whale optimization algorithm. Sensors 21(5):1583","journal-title":"Sensors"},{"issue":"3","key":"10628_CR30","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1080\/17521742.2011.685645","volume":"7","author":"J Hardcastle","year":"2011","unstructured":"Hardcastle J (2011) Scopus: a quick introduction. Editors\u2019 Bull 7(3):90\u201391","journal-title":"Editors\u2019 Bull"},{"issue":"9","key":"10628_CR31","first-page":"7212","volume":"34","author":"S Hasan","year":"2022","unstructured":"Hasan S, Jahan S, Islam MI (2022) Disease detection of apple leaf with combination of color segmentation and modified dwt. J King Saud Univ-Comput Inf Sci 34(9):7212\u20137224","journal-title":"J King Saud Univ-Comput Inf Sci"},{"key":"10628_CR32","doi-asserted-by":"publisher","unstructured":"Heimerl F, Lohmann S, Lange S, Ertl T (2014) Word cloud explorer: text analytics based on word clouds. In: 2014 47th Hawaii international conference on system sciences, pp 1833\u20131842. https:\/\/doi.org\/10.1109\/HICSS.2014.231","DOI":"10.1109\/HICSS.2014.231"},{"key":"10628_CR33","doi-asserted-by":"crossref","unstructured":"Heryawan L, Febriansyah F, Bukhori A (2022) Deep learning and machine learning model comparison for diagnosis detection from medical records. In: The 2022 international conference on computer, control, informatics and its applications, pp 306\u2013310","DOI":"10.1145\/3575882.3575941"},{"key":"10628_CR34","doi-asserted-by":"publisher","first-page":"2667","DOI":"10.1007\/s11192-020-03840-8","volume":"126","author":"S Hosseini","year":"2021","unstructured":"Hosseini S, Baziyad H, Norouzi R, Jabbedari Khiabani S, Gid\u00f3falvi G, Albadvi A, Alimohammadi A, Seyedabrishami S (2021) Mapping the intellectual structure of gis-t field (2008\u20132019): a dynamic co-word analysis. Scientometrics 126:2667\u20132688","journal-title":"Scientometrics"},{"key":"10628_CR35","unstructured":"Hough WS, Mason AF, et al (1951) Spraying, dusting and fumigating of plants. Principles and applications. In: Spraying, dusting and fumigating of plants. Principles and applications"},{"key":"10628_CR36","first-page":"163","volume":"35","author":"L Ikpaahindi","year":"1985","unstructured":"Ikpaahindi L (1985) An overview of bibliometrics: its measurements, laws and their applications. Libri 35:163","journal-title":"Libri"},{"key":"10628_CR37","doi-asserted-by":"crossref","unstructured":"Islam MA, Islam MS, Hossen MS, Emon MU, Keya MS, Habib A (2020) Machine learning based image classification of papaya disease recognition. In: 2020 4th international conference on electronics, communication and aerospace technology (ICECA), pp 1353\u20131360. IEEE","DOI":"10.1109\/ICECA49313.2020.9297570"},{"key":"10628_CR38","doi-asserted-by":"publisher","first-page":"59069","DOI":"10.1109\/ACCESS.2019.2914929","volume":"7","author":"P Jiang","year":"2019","unstructured":"Jiang P, Chen Y, Liu B, He D, Liang C (2019) Real-time detection of apple leaf diseases using deep learning approach based on improved convolutional neural networks. IEEE Access 7:59069\u201359080","journal-title":"IEEE Access"},{"key":"10628_CR39","doi-asserted-by":"crossref","unstructured":"Kalwad PD, Kanakaraddi SG, Preeti T, Ichalakaranji S, Salimath S, Nayak S (2022) Apple leaf disease detection and analysis using deep learning technique. In: Information and communication technology for competitive strategies (ICTCS 2020) ICT: applications and social interfaces. Springer, New York, pp 803\u2013814","DOI":"10.1007\/978-981-16-0739-4_76"},{"issue":"3","key":"10628_CR40","first-page":"813","volume":"34","author":"A Kaur","year":"2022","unstructured":"Kaur A, Kaur B (2022) Load balancing optimization based on hybrid heuristic-metaheuristic techniques in cloud environment. J King Saud Univ-Comput Inf Sci 34(3):813\u2013824","journal-title":"J King Saud Univ-Comput Inf Sci"},{"issue":"1","key":"10628_CR41","doi-asserted-by":"publisher","first-page":"10125","DOI":"10.1149\/10701.10125ecst","volume":"107","author":"G Kaur","year":"2022","unstructured":"Kaur G, Kaur A, Khurana M (2022a) A review of opinion mining techniques. ECS Trans 107(1):10125","journal-title":"ECS Trans"},{"key":"10628_CR42","doi-asserted-by":"crossref","unstructured":"Kaur G, Kaur A, Khurana M, et al (2022b) A stem to stern sentiment analysis emotion detection. In: 2022 10th international conference on reliability, infocom technologies and optimization (trends and future directions)(ICRITO), pp 1\u20135. IEEE","DOI":"10.1109\/ICRITO56286.2022.9964965"},{"key":"10628_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/00207160.2020.1817411","volume":"98","author":"C Kaushal","year":"2020","unstructured":"Kaushal C, Kaushal K, Singla A (2020) Firefly optimization based segmentation technique to analyze medical images of breast cancer. Int J Comput Math 98:1\u201319. https:\/\/doi.org\/10.1080\/00207160.2020.1817411","journal-title":"Int J Comput Math"},{"key":"10628_CR44","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/7935346","author":"C Kaushal","year":"2022","unstructured":"Kaushal C, Islam MK, Althubiti S, Alenezi F, Mansour R (2022) A framework for interactive medical image segmentation using optimized swarm intelligence with convolutional neural networks. Comput Intell Neurosci. https:\/\/doi.org\/10.1155\/2022\/7935346","journal-title":"Comput Intell Neurosci"},{"key":"10628_CR45","doi-asserted-by":"publisher","first-page":"46261","DOI":"10.1109\/ACCESS.2019.2908040","volume":"7","author":"MA Khan","year":"2019","unstructured":"Khan MA, Lali MIU, Sharif M, Javed K, Aurangzeb K, Haider SI, Altamrah AS, Akram T (2019) An optimized method for segmentation and classification of apple diseases based on strong correlation and genetic algorithm based feature selection. IEEE Access 7:46261\u201346277","journal-title":"IEEE Access"},{"key":"10628_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2022.100110","volume":"2","author":"SJ Khiabani","year":"2022","unstructured":"Khiabani SJ, Batani A, Khanmohammadi E (2022) A hybrid decision support system for heart failure diagnosis using neural networks and statistical process control. Healthc Anal 2:100110","journal-title":"Healthc Anal"},{"issue":"13","key":"10628_CR47","doi-asserted-by":"publisher","first-page":"7095","DOI":"10.3390\/ijerph18137095","volume":"18","author":"M Koo","year":"2021","unstructured":"Koo M (2021) Systemic lupus erythematosus research: a bibliometric analysis over a 50-year period. Int J Environ Res Public Health 18(13):7095","journal-title":"Int J Environ Res Public Health"},{"key":"10628_CR48","first-page":"1","volume":"5777","author":"S Kumar","year":"2021","unstructured":"Kumar S, Patil RR, Kumawat V, Rai Y, Krishnan N, Singh S (2021) A bibliometric analysis of plant disease classification with artificial intelligence using convolutional neural network. Library Philos Pract 5777:1\u201314","journal-title":"Library Philos Pract"},{"issue":"1","key":"10628_CR49","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1111\/cid.12565","volume":"20","author":"FS Lages","year":"2018","unstructured":"Lages FS, Douglas-de Oliveira DW, Costa FO (2018) Relationship between implant stability measurements obtained by insertion torque and resonance frequency analysis: A systematic review. Clin Implant Dent Relat Res 20(1):26\u201333","journal-title":"Clin Implant Dent Relat Res"},{"key":"10628_CR50","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/s13593-014-0237-2","volume":"35","author":"M Lefebvre","year":"2015","unstructured":"Lefebvre M, Langrell SR, Gomez-y-Paloma S (2015) Incentives and policies for integrated pest management in Europe: a review. Agron Sustain Dev 35:27\u201345","journal-title":"Agron Sustain Dev"},{"issue":"1","key":"10628_CR51","doi-asserted-by":"publisher","first-page":"11","DOI":"10.3390\/sym10010011","volume":"10","author":"B Liu","year":"2017","unstructured":"Liu B, Zhang Y, He D, Li Y (2017) Identification of apple leaf diseases based on deep convolutional neural networks. Symmetry 10(1):11","journal-title":"Symmetry"},{"key":"10628_CR52","first-page":"24","volume":"8","author":"G Madhu","year":"2020","unstructured":"Madhu G, Nabi SU, Mir JI, Raja WH, Sheikh MA, Sharma OC, Singh DB (2020) Alternaria leaf and fruit spot in apple: symptoms, cause and management. Eur J Biotechnol Biosci 8:24\u201326","journal-title":"Eur J Biotechnol Biosci"},{"key":"10628_CR53","doi-asserted-by":"publisher","unstructured":"Mohapatra S, Sarangi PK, Sarangi P, Sahu P, Sahoo B (2022) Text classification using NLP based machine learning approach. In: AIP conference proceedings, vol 2463, p 020006. https:\/\/doi.org\/10.1063\/5.0080301","DOI":"10.1063\/5.0080301"},{"issue":"3","key":"10628_CR54","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1007\/BF02459614","volume":"46","author":"E Noyons","year":"1999","unstructured":"Noyons E, Moed H, Van Raan A (1999) Integrating research performance analysis and science mapping. Scientometrics 46(3):591\u2013604","journal-title":"Scientometrics"},{"key":"10628_CR55","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1016\/j.measurement.2014.05.033","volume":"55","author":"E Omrani","year":"2014","unstructured":"Omrani E, Khoshnevisan B, Shamshirband S, Saboohi H, Anuar NB, Nasir MHNM (2014) Potential of radial basis function-based support vector regression for apple disease detection. Measurement 55:512\u2013519","journal-title":"Measurement"},{"issue":"13","key":"10628_CR56","doi-asserted-by":"publisher","first-page":"2486","DOI":"10.3390\/rs13132486","volume":"13","author":"M Ouhami","year":"2021","unstructured":"Ouhami M, Hafiane A, Es-Saady Y, El Hajji M, Canals R (2021) Computer vision, IoT and data fusion for crop disease detection using machine learning: a survey and ongoing research. Remote Sens 13(13):2486","journal-title":"Remote Sens"},{"issue":"8","key":"10628_CR57","doi-asserted-by":"publisher","first-page":"6625","DOI":"10.1007\/s11192-021-04038-2","volume":"126","author":"A Pourhatami","year":"2021","unstructured":"Pourhatami A, Kaviyani-Charati M, Kargar B, Baziyad H, Kargar M, Olmeda-G\u00f3mez C (2021) Mapping the intellectual structure of the coronavirus field (2000\u20132020): a co-word analysis. Scientometrics 126(8):6625\u20136657","journal-title":"Scientometrics"},{"key":"10628_CR58","unstructured":"Pradhan P (2017) Science mapping and visualization tools used in bibliometric & scientometric studies: an overview"},{"key":"10628_CR59","doi-asserted-by":"crossref","unstructured":"Prasanna DL, Tripathi SL (2022) Machine and deep-learning techniques for text and speech processing. In: Machine learning algorithms for signal and image processing, pp 115\u2013128","DOI":"10.1002\/9781119861850.ch7"},{"key":"10628_CR60","unstructured":"Qiu H, Song Y, Zhao T (2012) The EM algorithm and its packages in r project: a literature review. In: Proceedings of the 2012 second international conference on electric information and control engineering, vol 1, pp 1464\u20131467"},{"issue":"10","key":"10628_CR61","doi-asserted-by":"publisher","first-page":"2157","DOI":"10.1049\/ipr2.12183","volume":"15","author":"ZU Rehman","year":"2021","unstructured":"Rehman ZU, Khan MA, Ahmed F, Dama\u0161evi\u010dius R, Naqvi SR, Nisar W, Javed K (2021) Recognizing apple leaf diseases using a novel parallel real-time processing framework based on mask rcnn and transfer learning: An application for smart agriculture. IET Image Proc 15(10):2157\u20132168","journal-title":"IET Image Proc"},{"key":"10628_CR62","doi-asserted-by":"crossref","unstructured":"Riehmann P, Hanfler M, Froehlich B (2005) Interactive sankey diagrams. In: IEEE symposium on information visualization. INFOVIS 2005, pp 233\u2013240. IEEE","DOI":"10.1109\/INFVIS.2005.1532152"},{"key":"10628_CR63","doi-asserted-by":"publisher","first-page":"804","DOI":"10.1016\/j.oregeorev.2015.01.001","volume":"71","author":"V Rodriguez-Galiano","year":"2015","unstructured":"Rodriguez-Galiano V, Sanchez-Castillo M, Chica-Olmo M, Chica-Rivas M (2015) Machine learning predictive models for mineral prospectivity: an evaluation of neural networks, random forest, regression trees and support vector machines. Ore Geol Rev 71:804\u2013818","journal-title":"Ore Geol Rev"},{"key":"10628_CR64","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1590\/S1517-83822014000100008","volume":"45","author":"BdCM Salom\u00e3o","year":"2014","unstructured":"Salom\u00e3o BdCM, Muller C, Amparo HCd, Arag\u00e3o GMFd (2014) Survey of molds, yeast and Alicyclobacillus spp. from a concentrated apple juice productive process. Braz J Microbiol 45:49\u201358","journal-title":"Braz J Microbiol"},{"issue":"4","key":"10628_CR65","first-page":"71","volume":"67","author":"MG Sanal","year":"2019","unstructured":"Sanal MG, Paul K, Kumar S, Ganguly NK (2019) Artificial intelligence and deep learning: the future of medicine and medical practice. J Assoc Phys India 67(4):71\u201373","journal-title":"J Assoc Phys India"},{"key":"10628_CR66","doi-asserted-by":"publisher","unstructured":"Scheibel W, Trapp M, Limberger D, D\u00f6llner J (2020). A taxonomy of treemap visualization techniques. https:\/\/doi.org\/10.5220\/0009153902730280","DOI":"10.5220\/0009153902730280"},{"key":"10628_CR67","unstructured":"Shaffer WH, Wrather JA (1996) Cedar apple rust"},{"key":"10628_CR68","first-page":"69","volume":"6","author":"C Stefanis","year":"2014","unstructured":"Stefanis C (2014) Global food security: an agricultural perspective. J Agric Sustain 6:69\u201387","journal-title":"J Agric Sustain"},{"issue":"3","key":"10628_CR69","doi-asserted-by":"publisher","first-page":"5312","DOI":"10.1002\/cpe.5312","volume":"33","author":"M Sumithra","year":"2021","unstructured":"Sumithra M, Saranya N (2021) Particle swarm optimization (PSO) with fuzzy c means (PSO-FCM)-based segmentation and machine learning classifier for leaf diseases prediction. Concurr Comput 33(3):5312","journal-title":"Concurr Comput"},{"key":"10628_CR70","unstructured":"Synnestvedt MB, Chen C, Holmes JH (2005) Citespace II: visualization and knowledge discovery in bibliographic databases. In: AMIA annual symposium proceedings, vol 2005. American Medical Informatics Association, p 724"},{"issue":"6","key":"10628_CR71","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1002\/phar.1586","volume":"35","author":"DF Thompson","year":"2015","unstructured":"Thompson DF, Walker CK (2015) A descriptive and historical review of bibliometrics with applications to medical sciences. Pharmacotherapy 35(6):551\u2013559","journal-title":"Pharmacotherapy"},{"key":"10628_CR72","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112350","volume":"257","author":"L Tian","year":"2021","unstructured":"Tian L, Xue B, Wang Z, Li D, Yao X, Cao Q, Zhu Y, Cao W, Cheng T (2021) Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection. Remote Sens Environ 257:112350","journal-title":"Remote Sens Environ"},{"issue":"23","key":"10628_CR73","doi-asserted-by":"publisher","first-page":"7987","DOI":"10.3390\/s21237987","volume":"21","author":"NK Trivedi","year":"2021","unstructured":"Trivedi NK, Gautam V, Anand A, Aljahdali HM, Villar SG, Anand D, Goyal N, Kadry S (2021) Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors 21(23):7987","journal-title":"Sensors"},{"issue":"2","key":"10628_CR74","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1007\/s11192-009-0146-3","volume":"84","author":"N Van Eck","year":"2010","unstructured":"Van Eck N, Waltman L (2010) Software survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics 84(2):523\u2013538","journal-title":"Scientometrics"},{"key":"10628_CR75","unstructured":"Van Eck NJ, Waltman L (2011) Vosviewer manual. Manual for VOSviewer version 1(0)"},{"issue":"9S","key":"10628_CR76","doi-asserted-by":"publisher","first-page":"18","DOI":"10.35940\/ijitee.I1003.0789S19","volume":"8","author":"K Verma","year":"2019","unstructured":"Verma K, Bhardwaj S, Arya R, Islam U, Bhushan M, Kumar A, Samant P (2019) Latest tools for data mining and machine learning. Int J Innov Technol Explor Eng 8(9S):18\u201323","journal-title":"Int J Innov Technol Explor Eng"},{"key":"10628_CR77","doi-asserted-by":"crossref","unstructured":"Wang Y, Wu J, Li H (2020) Human detection based on improved mask r-cnn. In: Journal of Physics: Conference Series, vol 1575. IOP Publishing, p 012067","DOI":"10.1088\/1742-6596\/1575\/1\/012067"},{"issue":"3","key":"10628_CR78","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1007\/s10658-018-1590-9","volume":"153","author":"T W\u00f6hner","year":"2019","unstructured":"W\u00f6hner T, Emeriewen OF (2019) Apple blotch disease (Marssonina coronaria (Ellis & Davis) Davis)-review and research prospects. Eur J Plant Pathol 153(3):657\u2013669","journal-title":"Eur J Plant Pathol"},{"key":"10628_CR79","doi-asserted-by":"crossref","unstructured":"Yadav D, Yadav AK et al (2020) A novel convolutional neural network based model for recognition and classification of apple leaf diseases. Traitement du Signal 37(6)","DOI":"10.18280\/ts.370622"},{"key":"10628_CR80","doi-asserted-by":"publisher","first-page":"91","DOI":"10.3390\/fi12050091","volume":"12","author":"J Yu","year":"2020","unstructured":"Yu J, Mu\u00f1oz J (2020) A bibliometric overview of twitter-related studies indexed in web of science. Future Internet 12:91. https:\/\/doi.org\/10.3390\/fi12050091","journal-title":"Future Internet"},{"key":"10628_CR81","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1016\/j.ijleo.2017.11.190","volume":"157","author":"S Zhang","year":"2018","unstructured":"Zhang S, Wang H, Huang W, You Z (2018) Plant diseased leaf segmentation and recognition by fusion of superpixel, k-means and phog. Optik 157:866\u2013872","journal-title":"Optik"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-023-10628-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10462-023-10628-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-023-10628-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T09:27:14Z","timestamp":1731144434000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10462-023-10628-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,30]]},"references-count":81,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,2]]}},"alternative-id":["10628"],"URL":"https:\/\/doi.org\/10.1007\/s10462-023-10628-8","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-2686136\/v1","asserted-by":"object"}]},"ISSN":["1573-7462"],"issn-type":[{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,30]]},"assertion":[{"value":"17 December 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Yes.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Yes.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for participation"}},{"value":"Yes.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publication"}}],"article-number":"21"}}