Kisaan Madat Portal : Plant Disease Diagnosis and Soil Report Analysis via Web Application

Pests and diseases affecting plants and crops can seriously impact a country’s agricultural production. Traditionally, farmers or agricultural experts monitor the fields closely to detect any signs of disease. However, this method is often time-consuming, costly, and not always reliable. One common way to identify plant diseases is by observing spots or marks on the leaves. The aim of this paper is to develop a Disease Recognition Model based on leaf images. To detect plant diseases, we are using image processing techniques with the help of a Convolutional Neural Network (CNN). CNNs are a type of artificial neural network designed to process pixel data, making them ideal for image recognition tasks like this one. Also, the web app will provide the feature like nearby soil testing center search where farmer can test soil and collect report. Web application is also enabled with report understanding feature where farmer get short and meaningful summary of the soil test report.