Design and Implementation of AI based Kisan Se Kisan Tak (KSKT) Mobile App

AI-based technology helps increases the efficiency in all fields of the agriculture sector such as harvest, irrigation, soil content sensing, monitoring, and agricultural robots. With a jumping global population, the agricultural sector faces the crisis, but the AI has the potential to provide a very necessary solution. The proposed Kisan Se Kisan Tak (KSKT) program includes a Chatbot that can answer farmers questions and provide accurate weather forecasts so that they can plan accordingly. Agriculture is predicted to generate major part of the revenue by 2050. Agricultural monitoring is so extensive that it necessitates decreasing humans in practice. The developed application begins with the weather forecasting app. The user may input their chosen location here, and the App will use the API to give them with all weather updates. The state of the app will be saved due to shared preferences. The KSKT application’s functionalities were surveyed and a feedback of over 50 people was taken. The research work for the application is to provide ease to farmers and workers based on demographic information using API’s, and it can automatically analyze the soil status i.e., humidity, pH values.