Abstract: The field of agriculture greatly influences our lives. The most significant economic sector in our country is agriculture. A profit in agricultural products is the result of proper management. Farmers produce less because they lack knowledge about leaf disease. Since production determines both profit and loss, plant diseases of the leaves  detection is crucial. The method for classifying and detecting leaf diseases is CNN. The primary goal of this study is to identify leaf diseases in tomato, potato, grape, apple, and corn plants. Plant leaf diseases are tracked over vast agricultural fields for the purpose of detecting crop diseases. As a result, certain disease features are automatically identified and treated accordingly. The suggested Deep CNN model has been contrasted with well-known transfer learning techniques like VGG16.

Keywords: CNN, VGG16, Agriculture, Leaf diseases.

| DOI: 10.17148/IARJSET.2024.11531