Combining ResNet50 image features with a support vector machine predicted grapevine leaf area index from drone RGB images with MAE 0.32 and MSE 0.21, beating handcrafted feature methods in a 1,469-image comparison.
Integration of a crop growth model and deep learning methods to improve satellite-based yield estimation of winter wheat in henan province, china
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Automating grapevine LAI features estimation with UAV imagery and machine learning
Combining ResNet50 image features with a support vector machine predicted grapevine leaf area index from drone RGB images with MAE 0.32 and MSE 0.21, beating handcrafted feature methods in a 1,469-image comparison.