[Paper Summary] Essay notes on the application of deep learning in the field of agriculture
The article presents various machine learning applications in agriculture, including image classification, crop pest classification, data augmentation, and automated pest detection. It also discusses applications of deep learning, such as语义 segmentation, for predicting agricultural yields and diseases. Other topics include the use of machine learning for predicting irrigation water infiltration, soil moisture forecasts, and yield prediction in different crops.