9th International Conference on ICT for Sustainable Development

Authors - Ayush Jha, Harsh Mishra, Ruchir Gaur, Sagar D
Abstract - This article introduces "KisanSaarthi," a system, for analyzing crops and providing recommendations aimed at transforming investments. Created as a cross platform mobile application, KisanSaarthi allows landowners to list their farmland for rent or lease while helping investors make well informed decisions with crop suggestions based on advanced data analysis. The system uses datasets such as weather information, land characteristics, crop details and market price trends to train a Random Forest Classifier for crop forecasts. Notably this machine learning model is regularly retrained to adapt to changing conditions ensuring enhancement in prediction precision. KisanSaarthi provides premium services for crop cultivation. Facilitates bidding processes for selling harvested crops to distributors. It features a user interface with functionality. This paper discusses the aspects, database integration and benefits of the retraining mechanism, in the machine learning model used in KisanSaarthi compared to existing systems emphasizing its potential to modernize and optimize agricultural investment strategies.