Intelligent vineyard monitoring using YOLOv7
Journal: E3S Web of Conferences
Year: 2024

The article discusses the technology for automated neural network monitoring of the vineyard’s physiological condition. The proposed solution is based on the integrated use of convolutional neural network method and machine vision technologies. The training of the YOLOv7 neural network was implemented in the Python environment using the PyTorch framework and the OpenCV computer vision library. The dataset consisting of 6320 images of grape leaves (including healthy and diseased ones) has been us