Estimates of rice lodging using indices derived from UAV visible and thermal infrared images

文献类型： 外文期刊

第一作者： Liu, Tao

作者： Liu, Tao;Li, Rui;Zhou, Ping;Sun, Chengming;Guo, Wenshan;Zhong, Xiaochun;Liu, Shengping;Jiang, Min;Jin, Xiuliang

作者机构：

关键词： Rice lodging; Visible light-based imaging; Support vector machine; Thermal infrared imaging; Unmanned aerial vehicle

期刊名称：AGRICULTURAL AND FOREST METEOROLOGY （ 影响因子：5.734； 五年影响因子：5.964 ）

ISSN： 0168-1923

年卷期： 2018 年 252 卷

页码：

收录情况： SCI

摘要： Rice lodging not only causes difficulty in harvest operations, but also drastically reduces yield. Rice lodging assessment contributes greatly to rice plantation and crop field management. In this study, we collected visible and thermal infrared images with an unmanned aerial vehicle. Then, based on hybrid image analysis and field investigation, we established a comprehensive rice lodging recognition model using a particle swarm optimization and support vector machine algorithm. The results showed that color and texture features were different between lodged and non-lodged rice plants. Moreover, the temperature was distinct between lodging and non lodging areas, with lodged rice having higher canopy temperature. The developed model based on the visible and thermal infrared images was validated using different Indica and Japonica rice cultivars. The model had a false positives rate and false negatives rate of less than 10%, and estimated lodging rate with an R-2 greater than 0.9. These results indicated that combination of visible and thermal infrared images feature significantly increased the rice lodging recognition accuracy. The developed model can be used to monitor rice lodging and estimate the lodging rate.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序