Paper Key : IRJ************478
Author: Sourabh Chouhan,Sumiran Biswas,Yogesh Patidar,Sneha Verma
Date Published: 27 Oct 2023
Abstract
The Crop Recommendation System (CRS) is an innovative agricultural tool designed to empower farmers with data-driven insights,optimizing crop selection and maximizing agricultural productivity. Leveraging cutting-edge technologies such as machine learning and data analytics, CRS integrates diverse parameters, including soil characteristics,climatic conditions, historical yield data, and farmer preferences, to deliver personalized crop recommendations.By accessing a user-friendly interface, farmers can input their specific farm details and preferences,initiating the CRS's robust analysis process. The system's algorithms process the data, identifying ideal crop options tailored to each unique farming scenario. CRS empowers farmers to mitigate risks associated with climate change, market fluctuations, and resource constraints, ultimately leading to sustainable and profitable farming practices. In conclusion, this system offers a crucial solution to foster agricultural advancement, bridging the gap between traditional practices and data-driven decision making for a resilient and prosperous farming future.
DOI LINK : 10.56726/IRJMETS45531 https://www.doi.org/10.56726/IRJMETS45531