Improved Yield Prediction of Ratoon Rice Using Unmanned Aerial Vehicle-Based Multi-Temporal Feature Method

• Published in: Rice science Vol. 30; no. 3; pp. 247 - 256
• Main Authors: Longfei, Zhou, Ran, Meng, Xing, Yu, Yigui, Liao, Zehua, Huang, Zhengang, Lü, Binyuan, Xu, Guodong, Yang, Shaobing, Peng, Le, Xu
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2023; Harbin Institute of Technology Institute for Artificial Intelligence Co.,Ltd,Harbin 150000,China%National Key Laboratory of Crop Genetic Improvement/Hubei Hongshan Laboratory/Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River,Ministry of Agriculture and Rural Affairs/College of Plant Science and Technology,Huazhong Agricultural University,Wuhan 430070,China%National Key Laboratory of Crop Genetic Improvement/Hubei Hongshan Laboratory/Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River,Ministry of Agriculture and Rural Affairs/College of Plant Science and Technology,Huazhong Agricultural University,Wuhan 430070,China; College of Resources and Environment,Huazhong Agricultural University,Wuhan 430070,China%College of Resources and Environment,Huazhong Agricultural University,Wuhan 430070,China; College of Agriculture,Northeast Agricultural University,Harbin 150006,China; Elsevier
• Subjects: agronomic practice; multi-temporal feature; ratoon rice; stubble height; unmanned aerial vehicle; yield prediction; ratoon rice; agronomic practice; stubble height; unmanned aerial vehicle; yield prediction; multi-temporal feature

Pre-harvest yield prediction of ratoon rice is critical for guiding crop interventions in precision agriculture. However, the unique agronomic practice (i.e., varied stubble height treatment) in rice ratooning could lead to inconsistent rice phenology, which had a significant impact on yield predict...