基于无人机图像以及不同机器学习和深度学习模型的小麦倒伏率检测

Wheat Lodging Ratio Detection Based on UAS Imagery Coupled with Different Machine Learning and Deep Learning Algorithms

Paulo FLORES, Zhao ZHANG

Fig. 1 Workflow of wheat plot lodging ratio detection under different mission heights for unmanned aerial systems Note： Non-， light， and severe lodging represent 0%， <50%， and >50% crop lodged， respectively； SVM—support vector machine； RF—random forest； KNN—K nearest neighbors； three heights are 15， 46， and 91 m