{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T23:20:22Z","timestamp":1780356022009,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811317019","type":"print"},{"value":"9789811317026","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-981-13-1702-6_32","type":"book-chapter","created":{"date-parts":[[2018,8,11]],"date-time":"2018-08-11T05:15:03Z","timestamp":1533964503000},"page":"319-329","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["CNN Transfer Learning for Automatic Image-Based Classification of Crop Disease"],"prefix":"10.1007","author":[{"given":"Jingxian","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"WeiHui","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,8,12]]},"reference":[{"issue":"3","key":"32_CR1","first-page":"42","volume":"25","author":"SW Zhang","year":"2015","unstructured":"Zhang, S.W., Shang, Y.J., Wang, L.: Plant disease recognition based on plant leaf image. J. Anim. Plant Sci. 25(3), 42\u201345 (2015)","journal-title":"J. Anim. Plant Sci."},{"issue":"1","key":"32_CR2","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.compag.2010.06.009","volume":"74","author":"T Rumpf","year":"2010","unstructured":"Rumpf, T., Mahlein, A.K., Steiner, U., Oerke, E.C., Dehne, H.W., Plmer, L.: Early detection and classification of plant diseases with support vector machines based on hyperspectral reflectance. Comput. Electron. Agric. 74(1), 91\u201399 (2010)","journal-title":"Comput. Electron. Agric."},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Kai, S., Liu, Z., Hang, S., Guo, C.: A research of maize disease image recognition of corn based on BP networks. In: Third International Conference on Measuring Technology and Mechatronics Automation, pp. 246\u2013249 (2011)","DOI":"10.1109\/ICMTMA.2011.66"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Sammany, M., Medhat, T.: Dimensionality reduction using rough set approach for two neural networks-based applications. In: International Conference on Rough Sets and Intelligent Systems Paradigms, pp. 639\u2013647 (2007)","DOI":"10.1007\/978-3-540-73451-2_67"},{"key":"32_CR5","doi-asserted-by":"crossref","unstructured":"Wan, J., Wang, D., Hoi, S.C.H., Wu, P., Zhu, J., Zhang, Y., Li, J.: Deep learning for content-based image retrieval:a comprehensive study. In: the ACM International Conference, pp. 157\u2013166 (2014)","DOI":"10.1145\/2647868.2654948"},{"issue":"7553","key":"32_CR6","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y Lecun","year":"2015","unstructured":"Lecun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436 (2015)","journal-title":"Nature"},{"issue":"3","key":"32_CR7","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1561\/2000000039","volume":"7","author":"L Deng","year":"2014","unstructured":"Deng, L., Yu, D.: Deep learning: methods and applications. Found. Trends Sig. Process. 7(3), 197\u2013387 (2014)","journal-title":"Found. Trends Sig. Process."},{"key":"32_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/978-3-319-46478-7_31","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Y Wen","year":"2016","unstructured":"Wen, Y., Zhang, K., Li, Z., Qiao, Y.: A discriminative feature learning approach for deep face recognition. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 499\u2013515. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46478-7_31"},{"issue":"6","key":"32_CR9","first-page":"1","volume":"2016","author":"S Srdjan","year":"2016","unstructured":"Srdjan, S., Marko, A., Andras, A., Dubravko, C., Darko, S.: Deep neural networks based recognition of plant diseases by leaf image classification. Comput. Intell. Neurosci. 2016(6), 1\u201311 (2016)","journal-title":"Comput. Intell. Neurosci."},{"key":"32_CR10","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.3389\/fpls.2016.01419","volume":"7","author":"SP Mohanty","year":"2016","unstructured":"Mohanty, S.P., Hughes, D.P., Salath, M.: Using deep learning for image-based plant disease detection. Front. Plant Sci. 7, 1419 (2016)","journal-title":"Front. Plant Sci."},{"key":"32_CR11","unstructured":"Amara, J., Bouaziz, B., Algergawy, A.: A deep learning-based approach for banana leaf diseases classification. In: Datenbanksysteme Fr Business, Technologie Und Web, pp. 79\u201388 (2017)"},{"key":"32_CR12","first-page":"2917536","volume":"2017","author":"G Wang","year":"2017","unstructured":"Wang, G., Sun, Y., Wang, J.: Automatic image-based plant disease severity estimation using deep learning. Comput. Intell. Neurosci. 2017, 2917536 (2017)","journal-title":"Comput. Intell. Neurosci."},{"issue":"10","key":"32_CR13","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"32_CR14","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Li, F.F.: ImageNet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009, pp. 248\u2013255 (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"32_CR15","unstructured":"Massini, M., Fortunato, M., Mancini, S., Tombesi, P.: L2 regularization for learning kernels, vol. 62, no. (4), pp. 109\u2013116 (2012)"},{"issue":"4","key":"32_CR16","first-page":"212","volume":"3","author":"GE Hinton","year":"2012","unstructured":"Hinton, G.E., Srivastava, N., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.R.: Improving neural networks by preventing co-adaptation of feature detectors. Comput. Sci. 3(4), 212\u2013223 (2012)","journal-title":"Comput. Sci."},{"key":"32_CR17","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. Comput. Sci. (2014)"}],"container-title":["Communications in Computer and Information Science","Image and Graphics Technologies and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-1702-6_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T00:47:46Z","timestamp":1571705266000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-1702-6_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9789811317019","9789811317026"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-1702-6_32","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}