{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T16:34:36Z","timestamp":1783010076328,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,23]]},"DOI":"10.1145\/3647444.3652487","type":"proceedings-article","created":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T13:48:36Z","timestamp":1715608116000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Convolution Neural Network based efficient Segmentation and Classification Model for Disease Classification in Plant Images"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9368-1938","authenticated-orcid":false,"given":"Deepkiran","family":"Munjal","sequence":"first","affiliation":[{"name":"COMPUTER SCIENCE AND TECHNOLOGY, MANAV RACHNA UNIVERSITY, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8942-3568","authenticated-orcid":false,"given":"Mrinal","family":"Pandey","sequence":"additional","affiliation":[{"name":"COMPUTER SCIENCE AND TECHNOLOGY, MANAV RACHNA UNIVERSITY, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0956-6989","authenticated-orcid":false,"given":"Laxman","family":"Singh","sequence":"additional","affiliation":[{"name":"Computer science and Engg.(AI & ML), KIET Group of Institutions, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Francis Mercelin and C. Deisy. \"Disease detection and classification in agricultural plants using convolutional neural networks\u2014a visual understanding.\" In\u00a02019 6th international conference on signal processing and integrated networks (SPIN) pp. 1063-1068. IEEE (2019).","DOI":"10.1109\/SPIN.2019.8711701"},{"key":"e_1_3_2_1_2_1","volume-title":"A Deep Learning Approach. for Determining Effects of Tuta Absoluta in Tomato Plants","author":"Loyani D. P., L. K.","year":"2020","unstructured":"Rubanga, D. P., L. K. Loyani, M. Richard, and S. Shimada. \"A Deep Learning Approach. for Determining Effects of Tuta Absoluta in Tomato Plants\u201d, arXiv (2020),\u00a0arXiv preprint arXiv:2004.04023."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Ahmad Iftikhar Muhammad Hamid Suhail Yousaf Syed Tanveer Shah and Muhammad Ovais Ahmad. \"Optimizing pretrained convolutional neural networks for tomato leaf disease detection.\"\u00a0Complexity\u00a02020 1-6 (2020)","DOI":"10.1155\/2020\/8812019"},{"key":"e_1_3_2_1_4_1","volume-title":"Detection of infected and healthy part of leaf using image processing techniques.\"\u00a0Jour of Adv Research in Dynamical & Control Systems\u00a09, no. 1","author":"Singh B. P.","year":"2017","unstructured":"Rewar, Ekta, B. P. Singh, M. K. Chhipa, O. P. Sharma, and M. Kumari. \"Detection of infected and healthy part of leaf using image processing techniques.\"\u00a0Jour of Adv Research in Dynamical & Control Systems\u00a09, no. 1 (2017)."},{"issue":"6","key":"e_1_3_2_1_5_1","first-page":"293","author":"Khule R. S.","year":"2017","unstructured":"Vetal, Sagar, and R. S. Khule. \"Tomato plant disease detection using image processing.\"\u00a0Int. J. Adv. Res. Comput. Commun. Eng\u00a06, no. 6,293-297 (2017).","journal-title":"\"Tomato plant disease detection using image processing.\"\u00a0Int. J. Adv. Res. Comput. Commun. Eng\u00a06"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Nazki Haseeb Sook Yoon Alvaro Fuentes and Dong Sun Park. \"Unsupervised image translation using adversarial networks for improved plant disease recognition.\"\u00a0Computers and Electronics in Agriculture\u00a0168 105-117 (2020).","DOI":"10.1016\/j.compag.2019.105117"},{"key":"e_1_3_2_1_7_1","volume-title":"IEEE","author":"Peiyi Jia","year":"2017","unstructured":"Shijie, Jia, Jia Peiyi, and Hu Siping. \"Automatic detection of tomato diseases and pests based on leaf images.\" In\u00a02017 Chinese automation congress (CAC), pp. 2537-2510. IEEE, (2017)."},{"key":"e_1_3_2_1_8_1","volume-title":"Neha Joshi, and A. B. Ingole. \"Detection and classification of leaf disease using artificial neural network.\"\u00a0International journal of technical research and applications\u00a03, no. 3, 331-333","year":"2015","unstructured":"Ranjan, Malvika, Manasi Rajiv Weginwar, Neha Joshi, and A. B. Ingole. \"Detection and classification of leaf disease using artificial neural network.\"\u00a0International journal of technical research and applications\u00a03, no. 3, 331-333 (2015)."},{"key":"e_1_3_2_1_9_1","volume-title":"bayesian optimized SVM, and random forest classifier.\"\u00a0Journal of Food Quality\u00a02022, 1-16","author":"Kumar Ashutosh","year":"2022","unstructured":"Singh, Ashutosh Kumar, S. V. N. Sreenivasu, U. S. B. K. Mahalaxmi, Himanshu Sharma, Dinesh D. Patil, and Evans Asenso. \"Hybrid feature-based disease detection in plant leaf using convolutional neural network, bayesian optimized SVM, and random forest classifier.\"\u00a0Journal of Food Quality\u00a02022, 1-16 (2022)."},{"key":"e_1_3_2_1_10_1","volume-title":"2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)","author":"Singh L.","year":"2022","unstructured":"Deepkiran, L. Singh, M. Pandey and S. Lakra \"Automated Disease Detection in Plant Images using Convolution Neural Network,\" 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, (2022)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Agarwal Mohit Rohit Kumar Kaliyar Gaurav Singal and Suneet Kr Gupta. \"FCNN-LDA: A Faster Convolution Neural Network model for Leaf Disease identification on Apple's leaf dataset.\" In\u00a02019 12th International Conference on Information & Communication Technology and System (ICTS) pp. 246-251. IEEE (2019).","DOI":"10.1109\/ICTS.2019.8850964"},{"key":"e_1_3_2_1_12_1","volume-title":"\"Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection.\"\u00a0Pervasive and Mobile Computing\u00a075, 101437","author":"Vita De","year":"2021","unstructured":"De Vita, Fabrizio, Giorgio Nocera, Dario Bruneo, Valeria Tomaselli, Davide Giacalone, and Sajal K. Das. \"Porting deep neural networks on the edge via dynamic K-means compression: A case study of plant disease detection.\"\u00a0Pervasive and Mobile Computing\u00a075, 101437 (2021)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Atila \u00dcmit Murat U\u00e7ar Kemal Akyol and Emine U\u00e7ar. \"Plant leaf disease classification using EfficientNet deep learning model.\"\u00a0Ecological Informatics\u00a061 101-182 (2021).","DOI":"10.1016\/j.ecoinf.2020.101182"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Kumar Pijush Kanti Indrajeet Kumar Sanjeev Kumar Padmanavan Kumar John Harshith and Anurag Dutta. \"Diagnosing Phytophthora infestans infestations on Solanum tuberosum leaves using Machine Learning Classifiers.\" In\u00a02023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) pp. 95-99. IEEE (2023).","DOI":"10.1109\/CISES58720.2023.10183419"}],"event":{"name":"ICIMMI 2023: International Conference on Information Management & Machine Intelligence","location":"Jaipur India","acronym":"ICIMMI 2023"},"container-title":["Proceedings of the 5th International Conference on Information Management & Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647444.3652487","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3647444.3652487","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T17:25:04Z","timestamp":1758216304000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3647444.3652487"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,23]]},"references-count":14,"alternative-id":["10.1145\/3647444.3652487","10.1145\/3647444"],"URL":"https:\/\/doi.org\/10.1145\/3647444.3652487","relation":{},"subject":[],"published":{"date-parts":[[2023,11,23]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}