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

@inproceedings{Liu2018EstimatesOR,
  title={Estimates of rice lodging using indices derived from UAV visible and thermal infrared images},
  author={T. M. Liu and Rui Li and Xiaochun Zhong and Min Jiang and Xiuliang Jin and Peilong Zhou and Shengping Liu and Chengming Sun and Wenshan Guo},
  year={2018}
}
Abstract 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… CONTINUE READING

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