An Agri vigilance System based on Computer Vision and Deep Learning

In an agricultural-based country like India, farming and activities play a vital role in the growth of economy as it is main source GNI (Gross National Income). This dependence on agriculture makes important to address issues faced by farmers. The area concern for farmers revolves around crops livestock. Precise techniques cattle counting crop disease detection are need hour. introduction computer vision deep learning has enabled us make improvements techniques. To accomplish this, vision-based system proposed which will be implemented using ResNet YOLOv3-tiny. take images videos input run them inference. output updated database farmer notified case any inconsistency. detailed report can accessed government agencies. increase efficiency processes monitoring, livestock tracking, providing fast efficient solutions problems