Detecting vineyard plants stress in situ using deep learning

Mayra Cándido-Mireles, Regina Hernández-Gama, Joaquín Salas

Abstract: Highlights•CNN-based classifiers to detect Vitis vinifera stress from in situ images.•Stress detection from images of different varieties along the annual grapevine cycle.•An image dataset with natural lighting and object interference present in vineyards.•Detection performance baseline for some commonly used CNN architectures.