{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T14:49:08Z","timestamp":1787237348890,"version":"build-2736575974"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819500055","type":"print"},{"value":"9789819500062","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-95-0006-2_28","type":"book-chapter","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T07:33:37Z","timestamp":1753342417000},"page":"331-341","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition"],"prefix":"10.1007","author":[{"given":"Hele","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haojia","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengfei","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haohua","family":"Que","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Mu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"issue":"1","key":"28_CR1","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s00287-016-1013-2","volume":"40","author":"C Wick","year":"2016","unstructured":"Wick, C.: Deep learning. Informatik-Spektrum 40(1), 103\u2013107 (2016). https:\/\/doi.org\/10.1007\/s00287-016-1013-2","journal-title":"Informatik-Spektrum"},{"issue":"3","key":"28_CR2","doi-asserted-by":"publisher","first-page":"4097","DOI":"10.1007\/s13369-023-08280-z","volume":"49","author":"AF Rakib","year":"2024","unstructured":"Rakib, A.F., Rahman, R., Razi, A.A., Hasan, A.T.: A lightweight quantized CNN model for plant disease recognition. Arab. J. Sci. Eng. 49(3), 4097\u20134108 (2024)","journal-title":"Arab. J. Sci. Eng."},{"key":"28_CR3","unstructured":"Song, D.: Research and Implementation of Rice Leaf Disease Detection Based on Deep Learning. Master\u2019s Thesis, Ningxia University (2022)"},{"key":"28_CR4","doi-asserted-by":"crossref","unstructured":"Wang, C.-Y., et al.: CSPNet: a new backbone that can enhance learning capability of CNN. In: Procedings of IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 390\u2013391 (2020)","DOI":"10.1109\/CVPRW50498.2020.00203"},{"key":"28_CR5","doi-asserted-by":"crossref","unstructured":"He, Y., Lin, J., Liu, Z., Wang, H., Li, L.-J., Han, S.: AMC: AutoML for model compression and acceleration on mobile devices. In: Proceedings of European Conference on Computer Vision (ECCV), pp. 784\u2013800 (2018)","DOI":"10.1007\/978-3-030-01234-2_48"},{"issue":"4","key":"28_CR6","doi-asserted-by":"publisher","first-page":"2167","DOI":"10.1109\/COMST.2020.3007787","volume":"22","author":"Y Shi","year":"2020","unstructured":"Shi, Y., Yang, K., Jiang, T., Zhang, J., Letaief, K.B.: Communication-efficient edge AI: algorithms and systems. IEEE Commun. Surv. Tutor. 22(4), 2167\u20132191 (2020)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"10","key":"28_CR7","first-page":"252","volume":"51","author":"X Yu","year":"2020","unstructured":"Yu, X., Yang, M., Zhang, H., Li, D., Tang, Y., Yu, X.: Research and application of crop diseases detection method based on transfer learning. Trans. Chin. Soc. Agric. Mach. 51(10), 252\u2013258 (2020)","journal-title":"Trans. Chin. Soc. Agric. Mach."},{"key":"28_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"4","key":"28_CR9","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.3390\/app10041245","volume":"10","author":"V Maeda-Guti\u00e9rrez","year":"2020","unstructured":"Maeda-Guti\u00e9rrez, V., Galvan-Tejada, C.E., Zanella-Calzada, L.A., et al.: Comparison of convolutional neural network architectures for classification of tomato plant diseases. Appl. Sci. 10(4), 1245 (2020)","journal-title":"Appl. Sci."},{"key":"28_CR10","doi-asserted-by":"crossref","unstructured":"Lin, S., Zhou, Z., Zhang, Z., et al.: On-demand accelerating deep neural network inference via edge computing. In: Edge Intelligence in the Making: Optimization, Deep Learning, and Applications, pp. 151\u2013168. Springer (2021)","DOI":"10.1007\/978-3-031-02380-4_7"},{"key":"28_CR11","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.future.2022.10.033","volume":"140","author":"G Liu","year":"2023","unstructured":"Liu, G., Dai, F., Xu, X., et al.: An adaptive DNN inference acceleration framework with end\u2013edge\u2013cloud collaborative computing. Future Gener. Comput. Syst. 140, 422\u2013435 (2023)","journal-title":"Future Gener. Comput. Syst."},{"key":"28_CR12","doi-asserted-by":"crossref","unstructured":"Gao, Z., Miao, D., Zhao, L., et al.: Triple-partition network: collaborative neural network based on the \u2018end device\u2013edge\u2013cloud\u2019. In: Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), pp. 1\u20137 (2021)","DOI":"10.1109\/WCNC49053.2021.9417243"},{"key":"28_CR13","unstructured":"Lillicrap, T.P.: Continuous Control with Deep Reinforcement Learning. arXiv Preprint arXiv:1509.02971 (2015)"},{"key":"28_CR14","unstructured":"Hughes, D., Salath\u00e9, M., et al.: An Open Access Repository of Images on Plant Health to Enable the Development of Mobile Disease Diagnostics. arXiv Preprint arXiv:1511.08060 (2015)"},{"key":"28_CR15","unstructured":"Abid, A., Abdalla, A., Abid, A., et al.: Gradio: Hassle-free Sharing and Testing of ML Models in the Wild. arXiv Preprint arXiv:1906.02569 (2019)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-0006-2_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T02:59:12Z","timestamp":1771901952000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-0006-2_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819500055","9789819500062"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-0006-2_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}