Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

Agriculture plays a crucial role in the economy of the country and is the main source of food and income. Today the population is growing tremendously and with this, the demand for food is also increasing. Therefore, it is now time to introduce advanced farming methods. Artificial Intelligence in agriculture has brought a major agricultural revolution. In this study, we have worked on disease detection and crop recommendation system. For disease detection, we have implemented the Deep Convolutional Neural Network (CNN) models i.e., Sequential and VGG-16. In the proposed model we detect whether the crops are infected or not, and if they are further particular disease is identified according to the crop. The highest Accuracy achieved is for VGG16 i.e., 97.53 %. For the crops recommendation system, we have trained a Content-based filtering technique on the dataset. In which we are suggesting crops considering various parameters. By taking the user's location and the season for cultivation as an input we are recommending crops by training model on our collected dataset.