{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T04:36:11Z","timestamp":1781238971170,"version":"3.54.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T00:00:00Z","timestamp":1641340800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T00:00:00Z","timestamp":1641340800000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s11042-021-11763-6","type":"journal-article","created":{"date-parts":[[2022,1,5]],"date-time":"2022-01-05T21:22:33Z","timestamp":1641417753000},"page":"6051-6067","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":79,"title":["Deep transfer modeling for classification of Maize Plant Leaf Disease"],"prefix":"10.1007","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1009-3637","authenticated-orcid":false,"given":"Rajeev Kumar","family":"Singh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akhilesh","family":"Tiwari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajendra Kumar","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,5]]},"reference":[{"key":"11763_CR1","doi-asserted-by":"crossref","unstructured":"Alok N, Krishan K, Chauhan P (2021) Deep learning-based image classifier for malaria cell detection. Machine learning for healthcare applications. Wiley, Hoboken, pp 187\u2013197","DOI":"10.1002\/9781119792611.ch12"},{"key":"11763_CR2","doi-asserted-by":"publisher","first-page":"103883","DOI":"10.1016\/j.autcon.2021.103883","volume":"131","author":"Y An","year":"2021","unstructured":"An Y, Li H, Su T, Wang Y (2021) Determining uncertainties in AI applications in aec sector and their corresponding mitigation strategies. Autom Constr 131:103883. https:\/\/doi.org\/10.1016\/j.autcon.2021.103883","journal-title":"Autom Constr"},{"key":"11763_CR3","first-page":"11067","volume":"120","author":"S Arivazhagan","year":"2018","unstructured":"Arivazhagan S, Ligi SV (2018) Mango leaf diseases identification using convolutional neural network. Int J Pure Appl Math 120:11067\u201311079","journal-title":"Int J Pure Appl Math"},{"key":"11763_CR4","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.biosystemseng.2016.01.017","volume":"144","author":"JGA Barbedo","year":"2016","unstructured":"Barbedo JGA (2016) A review on the main challenges in automatic plant disease identification based on visible range images. Biosyst Eng 144:52\u201360. https:\/\/doi.org\/10.1016\/j.biosystemseng.2016.01.017","journal-title":"Biosyst Eng"},{"key":"11763_CR5","doi-asserted-by":"publisher","unstructured":"Boonsirisumpun N, Puarungroj W, Wairotchanaphuttha P (2018) Automatic detector for bikers with no helmet using deep learning. 2018 22nd Int Comput Sci Eng Conf ICSEC 2018, 1\u20134. https:\/\/doi.org\/10.1109\/ICSEC.2018.8712778","DOI":"10.1109\/ICSEC.2018.8712778"},{"key":"11763_CR6","doi-asserted-by":"crossref","unstructured":"Chauhan P, Mandoria HL, Negi A (2021) Deep residual neural network for plant seedling image classification. Agricultural informatics. Wiley, Hoboken, pp 131\u2013146","DOI":"10.1002\/9781119769231.ch7"},{"key":"11763_CR7","doi-asserted-by":"publisher","first-page":"31497","DOI":"10.1007\/s11042-020-09669-w","volume":"79","author":"J Chen","year":"2020","unstructured":"Chen J, Zhang D, Nanehkaran YA (2020) Identifying plant diseases using deep transfer learning and enhanced lightweight network. Multimed Tools Appl 79:31497\u201331515. https:\/\/doi.org\/10.1007\/s11042-020-09669-w","journal-title":"Multimed Tools Appl"},{"key":"11763_CR8","doi-asserted-by":"publisher","first-page":"8852","DOI":"10.1109\/ACCESS.2018.2800685","volume":"6","author":"SS Chouhan","year":"2018","unstructured":"Chouhan SS, Kaul A, Singh UP, Jain S (2018) Bacterial foraging optimization Based Radial Basis Function Neural Network (BRBFNN) for identification and classification of plant leaf diseases: an automatic approach towards plant pathology. IEEE Access 6:8852\u20138863. https:\/\/doi.org\/10.1109\/ACCESS.2018.2800685","journal-title":"IEEE Access"},{"key":"11763_CR9","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/s43057-021-00053-4","volume":"29","author":"A Darbari","year":"2021","unstructured":"Darbari A, Kumar K, Darbari S, Patil PL (2021) Requirement of artificial intelligence technology awareness for thoracic surgeons. Cardiothorac Surg 29:13. https:\/\/doi.org\/10.1186\/s43057-021-00053-4","journal-title":"Cardiothorac Surg"},{"key":"11763_CR10","doi-asserted-by":"publisher","first-page":"756","DOI":"10.1007\/s42452-019-0785-9","volume":"1","author":"M Fathi Kazerouni","year":"2019","unstructured":"Fathi Kazerouni M, Mohammed Saeed NT, Kuhnert K-D (2019) Fully-automatic natural plant recognition system using deep neural network for dynamic outdoor environments. SN Appl Sci 1:756. https:\/\/doi.org\/10.1007\/s42452-019-0785-9","journal-title":"SN Appl Sci"},{"key":"11763_CR11","unstructured":"Gonzalez TF (2007) Handbook of approximation algorithms and metaheuristics. Chapman and Hall\/CRC, Boca Raton"},{"key":"11763_CR12","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1016\/j.compag.2016.07.003","volume":"127","author":"GL Grinblat","year":"2016","unstructured":"Grinblat GL, Uzal LC, Larese MG, Granitto PM (2016) Deep learning for plant identification using vein morphological patterns. Comput Electron Agric 127:418\u2013424. https:\/\/doi.org\/10.1016\/j.compag.2016.07.003","journal-title":"Comput Electron Agric"},{"key":"11763_CR13","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/S0168-1699(00)00146-0","volume":"29","author":"D Guyer","year":"2000","unstructured":"Guyer D, Yang X (2000) Use of genetic artificial neural networks and spectral imaging for defect detection on cherries. Comput Electron Agric 29:179\u2013194. https:\/\/doi.org\/10.1016\/S0168-1699(00)00146-0","journal-title":"Comput Electron Agric"},{"key":"11763_CR14","unstructured":"He K, Zhang X, Ren S, Sun J, Recognition P (2016) (CVPR). IEEE, pp\u00a0770\u2013778"},{"key":"11763_CR15","unstructured":"Hughes DP, Salathe M (2015) An open access repository of images on plant health to enable the development of mobile disease diagnostics. Available: https:\/\/arxiv.org\/abs\/1511.08060"},{"key":"11763_CR16","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/j.asoc.2018.05.023","volume":"70","author":"M Kaushal","year":"2018","unstructured":"Kaushal M, Khehra BS, Sharma A (2018) Soft Computing based object detection and tracking approaches: State-of-the-Art survey. Appl Soft Comput 70:423\u2013464. https:\/\/doi.org\/10.1016\/j.asoc.2018.05.023","journal-title":"Appl Soft Comput"},{"key":"11763_CR17","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1016\/j.cell.2018.02.010","volume":"172","author":"DS Kermany","year":"2018","unstructured":"Kermany DS, Goldbaum M, Cai W et al (2018) Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell 172:1122. https:\/\/doi.org\/10.1016\/j.cell.2018.02.010","journal-title":"Cell"},{"key":"11763_CR18","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.compag.2019.04.017","volume":"162","author":"A Koirala","year":"2019","unstructured":"Koirala A, Walsh KB, Wang Z, McCarthy C (2019) Deep learning \u2013 Method overview and review of use for fruit detection and yield estimation. Comput Electron Agric 162:219\u2013234. https:\/\/doi.org\/10.1016\/j.compag.2019.04.017","journal-title":"Comput Electron Agric"},{"key":"11763_CR19","unstructured":"Maas, A.L. (2013) Rectifier nonlinearities improve neural network acoustic models, Proceedings of the 30th International Conference on Machine Learning, Atlanta, Georgia, USA, 2013. https:\/\/ai.stanford.edu\/~amaas\/papers\/relu_hybrid_icml2013_final.pdf"},{"key":"11763_CR20","doi-asserted-by":"publisher","unstructured":"Marsola TC, Lorena AC (2019) Meteor detection using deep convolutional neural networks. 8:380\u2013383. https:\/\/doi.org\/10.17648\/sbai-2019-112456","DOI":"10.17648\/sbai-2019-112456"},{"key":"11763_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fpls.2016.01419","volume":"7","author":"SP Mohanty","year":"2016","unstructured":"Mohanty SP, Hughes DP, Salath\u00e9 M (2016) Using deep learning for image-based plant disease detection. Front Plant Sci 7:1\u201310. https:\/\/doi.org\/10.3389\/fpls.2016.01419","journal-title":"Front Plant Sci"},{"key":"11763_CR22","doi-asserted-by":"publisher","first-page":"105117","DOI":"10.1016\/j.compag.2019.105117","volume":"168","author":"H Nazki","year":"2020","unstructured":"Nazki H, Yoon S, Fuentes A, Park DS (2020) Unsupervised image translation using adversarial networks for improved plant disease recognition. Comput Electron Agric 168:105117. https:\/\/doi.org\/10.1016\/j.compag.2019.105117","journal-title":"Comput Electron Agric"},{"key":"11763_CR23","doi-asserted-by":"crossref","unstructured":"Negi A, Kumar K, Chauhan P (2021) Deep neural network-based multi\u2010class image classification for plant diseases. Agricultural informatics. Wiley, Hoboken, pp 117\u2013129","DOI":"10.1002\/9781119769231.ch6"},{"key":"11763_CR24","unstructured":"Negi A, Kumar K, Chauhan P, Rajput RS, Systems I (2021) (ICCCIS). IEEE, pp\u00a0595\u2013600"},{"key":"11763_CR25","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.compag.2018.08.001","volume":"153","author":"DI Patr\u00edcio","year":"2018","unstructured":"Patr\u00edcio DI, Rieder R (2018) Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review. Comput Electron Agric 153:69\u201381. https:\/\/doi.org\/10.1016\/j.compag.2018.08.001","journal-title":"Comput Electron Agric"},{"key":"11763_CR26","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/s11760-015-0751-y","volume":"10","author":"S Prasad","year":"2016","unstructured":"Prasad S, Peddoju SK, Ghosh D (2016) Multi-resolution mobile vision system for plant leaf disease diagnosis. Signal, Image Video Process 10:379\u2013388. https:\/\/doi.org\/10.1007\/s11760-015-0751-y","journal-title":"Signal, Image Video Process"},{"key":"11763_CR27","doi-asserted-by":"publisher","first-page":"114181","DOI":"10.1016\/j.eswa.2020.114181","volume":"167","author":"S Sachar","year":"2021","unstructured":"Sachar S, Kumar A (2021) Survey of feature extraction and classification techniques to identify plant through leaves. Expert Syst Appl 167:114181. https:\/\/doi.org\/10.1016\/j.eswa.2020.114181","journal-title":"Expert Syst Appl"},{"key":"11763_CR28","unstructured":"Sardogan M, Tuncer A, Ozen Y, Engineering (2018) (UBMK). IEEE, pp\u00a0382\u2013385"},{"key":"11763_CR29","doi-asserted-by":"publisher","first-page":"1805","DOI":"10.1038\/s41598-021-81455-6","volume":"11","author":"SR Shams","year":"2021","unstructured":"Shams SR, Jahani A, Kalantary S et al (2021) Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air. Sci Rep 11:1805. https:\/\/doi.org\/10.1038\/s41598-021-81455-6","journal-title":"Sci Rep"},{"key":"11763_CR30","doi-asserted-by":"publisher","unstructured":"Shen L (2017) End-to-end training for whole image breast cancer diagnosis using an all convolutional design. https:\/\/doi.org\/10.1038\/s41598-019-48995-4. arXiv 1\u201312","DOI":"10.1038\/s41598-019-48995-4"},{"key":"11763_CR31","doi-asserted-by":"publisher","first-page":"11467","DOI":"10.1007\/s11042-014-2239-0","volume":"74","author":"S Shrivastava","year":"2015","unstructured":"Shrivastava S, Singh SK, Hooda DS (2015) Color sensing and image processing-based automatic soybean plant foliar disease severity detection and estimation. Multimed Tools Appl 74:11467\u201311484. https:\/\/doi.org\/10.1007\/s11042-014-2239-0","journal-title":"Multimed Tools Appl"},{"key":"11763_CR32","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.inpa.2016.10.005","volume":"4","author":"V Singh","year":"2017","unstructured":"Singh V, Misra AK (2017) Detection of plant leaf diseases using image segmentation and soft computing techniques. Inf Process Agric 4:41\u201349. https:\/\/doi.org\/10.1016\/j.inpa.2016.10.005","journal-title":"Inf Process Agric"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11763-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-11763-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11763-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,23]],"date-time":"2022-02-23T08:11:49Z","timestamp":1645603909000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-11763-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,5]]},"references-count":32,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["11763"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-11763-6","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,5]]},"assertion":[{"value":"1 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 September 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 November 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 January 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}