e-farmer: A study of how image processing tools may be used to detect plant disease

Due to changes in climate, Crops are infected, resulting in lower agriculture production. It has an impact on the agricultural financial system. If crops are corrupted with diseases, it becomes more difficult to find what types of diseases are infected on crops. So here latest Technology like artificial intelligence (AI), machine learning (ML), and deep learning can be put to good use in agriculture. These technologies can be used to identify the disease on crops and also can stop affecting the crops by disease. Suggested an application that will help the farmers to identify the disease on plants by scanning the leaves or uploading the image of leaves. Image input will be given by the user and it will start processing the image then it will compare it with the already trained dataset. Convolutional Neural Network (CNN), Visual geometry group −16 (VGG-16), DenseNet-121, Inception V3 algorithms are used to scale the image and collect information about the leaves based on their characteristics such as color.