{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:33Z","timestamp":1750309593773,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T00:00:00Z","timestamp":1736467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,10]]},"DOI":"10.1145\/3727353.3727369","type":"proceedings-article","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T16:28:15Z","timestamp":1748363295000},"page":"95-99","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Classification method for Tealeaf disease based on improved MobileNetV2"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7977-3883","authenticated-orcid":false,"given":"Jiahong","family":"Zeng","sequence":"first","affiliation":[{"name":"College of Mathematics and Information, South China Agricultural University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-6521-2089","authenticated-orcid":false,"given":"Zhiguo","family":"Du","sequence":"additional","affiliation":[{"name":"College of Mathematics and Information, South China Agricultural University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6259-2640","authenticated-orcid":false,"given":"Zhihui","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Mathematics and Information, South China Agricultural University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9679-3334","authenticated-orcid":false,"given":"Xudong","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Mathematics and Information, South China Agricultural University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0215-4471","authenticated-orcid":false,"given":"Bin","family":"Wen","sequence":"additional","affiliation":[{"name":"College of Mathematics and Information, South China Agricultural University, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,27]]},"reference":[{"key":"e_1_3_3_1_1_2","first-page":"223","volume":"2023","author":"Daozong Sun","unstructured":"Sun Daozong,Ding Zheng, et al Classification Method of Multi-variety Tea Leaves Based on mproved SqueezeNet Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(02):223-230","journal-title":"Transactions of the Chinese Society for Agricultural Machinery"},{"key":"e_1_3_3_1_2_2","unstructured":"Li Daohe Xiong Yun et al.The lmpact of Digital Village Construction on the Regional Public BrandValue of Agricultural Products-Empirical analysis based on the regionalpublic brand of tea[J]. Journal of Macro-quality Research 2024 12(04):110-114"},{"key":"e_1_3_3_1_3_2","unstructured":"Lin Binbin Qiu Xinfa et al.Study on intelligent diagnosis and recognition algorithm for tea diseases[J]Jiangsu Agricultural Sciences 2019 47(06):89-51"},{"key":"e_1_3_3_1_4_2","first-page":"59","volume":"2024","author":"Wei Wu","unstructured":"Wu Wei, Wang Xuan, et al.Research Progress of Crop Diseases lmage Recognition-An AnalysisBased on Bibliometrics,Journal of Southwest University(Natural Science Edition)[J]2024,46(10):59-79","journal-title":"Research Progress of Crop Diseases lmage Recognition-An AnalysisBased on Bibliometrics,Journal of Southwest University(Natural Science Edition)[J]"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"Yang Li Jing Nie Xuewei Chao Do we really need deep CNN for plant diseases identification?[J] Computers and Electronics in Agriculture 2020 178(3):105803","DOI":"10.1016\/j.compag.2020.105803"},{"key":"e_1_3_3_1_6_2","first-page":"241","volume":"2024","author":"Shengying Yang","unstructured":"Yang Shengying,Pan Weiyao et al.Adaptive feature fusion-based approach to tomato leaf diseaseidentification,Journal of Chinese Agricultural Mechanization[J]2024,45(10):241-246","journal-title":"Adaptive feature fusion-based approach to tomato leaf diseaseidentification,Journal of Chinese Agricultural Mechanization[J]"},{"key":"e_1_3_3_1_7_2","first-page":"125","volume":"2024","author":"Wei Zou","unstructured":"Zou Wei,Yue Yanbin et al.Identification of Anthracnose in Pepper Fruit Based on MobileNet V2 and the Application[J]. Guizhou Agricultural Sciences,2024,52(09):125-132.","journal-title":"Identification of Anthracnose in Pepper Fruit Based on MobileNet V2 and the Application[J]. Guizhou Agricultural Sciences"},{"key":"e_1_3_3_1_8_2","unstructured":"Lu Yang Liu Wanting et al.A new method for rice disease identification by combining CNN and BiLSTM[J]. Jiangsu Agricultural Sciences 2023 51(20):211-217"},{"key":"e_1_3_3_1_9_2","first-page":"196","volume":"2024","author":"Nan Deng","unstructured":"Deng Nan,Fang Kui et al.Research on rice leaf disease detection algorithm by improved YOLOv7[J],Journal of Chinese Agricultural Mechanization,2024,45(11):196-201","journal-title":"Research on rice leaf disease detection algorithm by improved YOLOv7[J],Journal of Chinese Agricultural Mechanization"},{"key":"e_1_3_3_1_10_2","first-page":"140","volume":"2024","author":"Zhiying Mao","unstructured":"Mao Zhiying,Liu Yuhang, et al.A lightweight detection method for tea disease by merging attention andmultiple-knowledge-transfer[J],Journal of Chinese Agricultural Mechanization,2024,45(12):140-147.","journal-title":"A lightweight detection method for tea disease by merging attention andmultiple-knowledge-transfer[J],Journal of Chinese Agricultural Mechanization"},{"key":"e_1_3_3_1_11_2","first-page":"140","volume":"2024","author":"Yue Xu","unstructured":"Xu Yue,Chen Lin,Tomato leaf disease detection algorithm based on improved YOLO v8[J],Jiangsu Agricultural Sciences,2024,45(12):140-147","journal-title":"Jiangsu Agricultural Sciences"},{"key":"e_1_3_3_1_12_2","first-page":"301","volume":"2023","author":"Junlin Mu","unstructured":"Mu Junlin,Ma Bo et al,Review of Crop Disease and Pest Detection Algorithms Based on DeepLearning[J],Transactions of the Chinese Society for Agricultural Machinery,2023,5(S2):301-313","journal-title":"Review of Crop Disease and Pest Detection Algorithms Based on DeepLearning[J],Transactions of the Chinese Society for Agricultural Machinery"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2018:410-4520","key":"e_1_3_3_1_13_2","unstructured":"Sandler. M., Howard. A,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks[C]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2018:410-4520"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).2020:11531-11539","author":"Banggu Wu","key":"e_1_3_3_1_14_2","unstructured":"Wang, Qilong., Wu Banggu, B.et al. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks[C]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).2020:11531-11539."}],"event":{"name":"BDICN 2025: 2025 4th International Conference on Big Data, Information and Computer Network","acronym":"BDICN 2025","location":"Guangzhou China"},"container-title":["Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3727353.3727369","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3727353.3727369","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:56Z","timestamp":1750298216000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3727353.3727369"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,10]]},"references-count":14,"alternative-id":["10.1145\/3727353.3727369","10.1145\/3727353"],"URL":"https:\/\/doi.org\/10.1145\/3727353.3727369","relation":{},"subject":[],"published":{"date-parts":[[2025,1,10]]},"assertion":[{"value":"2025-05-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}