Citrus leaves disease diagnosis

Agriculture is the most important sector in developing countries, so main source of concern for farmers plant diseases that lead to a lack production and waste money crops. In this paper, system using computer-assisted convolutional neural networks (CNN) with camera developed characterize citrus trees. This proposed can help increase improve quality their agricultural productivity. addition reducing spread disease through early detection. Citrus leaf dataset was created train test model because one crops Iraq. The results experiment shown implemented CNN achieved high classification accuracy (92%) fewer parameters, making it flawless promising outcomes.