{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T14:48:26Z","timestamp":1779202106467,"version":"3.51.4"},"reference-count":31,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["2021ZD0110901"],"award-info":[{"award-number":["2021ZD0110901"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["202103021224173"],"award-info":[{"award-number":["202103021224173"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&amp;D Program of China","doi-asserted-by":"publisher","award":["CAAS-ASTIP-2023-AII"],"award-info":[{"award-number":["CAAS-ASTIP-2023-AII"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic Research Program of Shanxi Province","award":["2021ZD0110901"],"award-info":[{"award-number":["2021ZD0110901"]}]},{"name":"Basic Research Program of Shanxi Province","award":["202103021224173"],"award-info":[{"award-number":["202103021224173"]}]},{"name":"Basic Research Program of Shanxi Province","award":["CAAS-ASTIP-2023-AII"],"award-info":[{"award-number":["CAAS-ASTIP-2023-AII"]}]},{"name":"Science and Technology Innovation Program of AII-CAAS","award":["2021ZD0110901"],"award-info":[{"award-number":["2021ZD0110901"]}]},{"name":"Science and Technology Innovation Program of AII-CAAS","award":["202103021224173"],"award-info":[{"award-number":["202103021224173"]}]},{"name":"Science and Technology Innovation Program of AII-CAAS","award":["CAAS-ASTIP-2023-AII"],"award-info":[{"award-number":["CAAS-ASTIP-2023-AII"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Crop phenology is an important attribute of crops, not only reflecting the growth and development of crops, but also affecting crop yield. By observing the phenological stages, agricultural production losses can be reduced and corresponding systems and plans can be formulated according to their changes, having guiding significance for agricultural production activities. Traditionally, crop phenological stages are determined mainly by manual analysis of remote sensing data collected by UAVs, which is time-consuming, labor-intensive, and may lead to data loss. To cope with this problem, this paper proposes a deep-learning-based method for rice phenological stage recognition. Firstly, we use a weather station equipped with RGB cameras to collect image data of the whole life cycle of rice and build a dataset. Secondly, we use object detection technology to clean the dataset and divide it into six subsets. Finally, we use ResNet-50 as the backbone network to extract spatial feature information from image data and achieve accurate recognition of six rice phenological stages, including seedling, tillering, booting jointing, heading flowering, grain filling, and maturity. Compared with the existing solutions, our method guarantees long-term, continuous, and accurate phenology monitoring. The experimental results show that our method can achieve an accuracy of around 87.33%, providing a new research direction for crop phenological stage recognition.<\/jats:p>","DOI":"10.3390\/rs15112891","type":"journal-article","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T01:33:54Z","timestamp":1685669634000},"page":"2891","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Deep-Learning-Based Rice Phenological Stage Recognition"],"prefix":"10.3390","volume":"15","author":[{"given":"Jiale","family":"Qin","sequence":"first","affiliation":[{"name":"School of Software, Shanxi Agricultural University, Jinzhong 030801, China"},{"name":"Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianci","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianghao","family":"Yuan","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingzhi","family":"Liu","sequence":"additional","affiliation":[{"name":"Information Technology Group, Wageningen University & Research, 6708 PB Wageningen, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wensheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Harbin Institute of Technology, Harbin 150080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leifeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guozhu","family":"Song","sequence":"additional","affiliation":[{"name":"School of Software, Shanxi Agricultural University, Jinzhong 030801, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,1]]},"reference":[{"key":"ref_1","unstructured":"Feng, H., Li, Z., He, P., Jin, X., Yang, G., Yu, H., and Yang, F. 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