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. 4 Detection accuracy of different wheat lodging ratios based on color and textural features extracted from unmanned aerial systems images collected at three flight altitudes coupled with SVM， random forest （RF and KNN classifiers） Note： Bars for each group with different letters are significantly different by Tukey test （α = 0.05）