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GRENZE International Journal of Engineering and Technology Vol. 10 (2024), Issue 2

Responsive Farming Calendar

Authors

Harshit Pawar, Ritesh Pandey, Mudimala Vignaneswar Reddy, Puneet Kumar Rai, R Anita Jasmine

Abstract

This project introduces a comprehensive agricultural decision support system for India, combining machine learning models and real-time data sources to predict the optimal crop selection for a given state, district, and season. Leveraging meteorological data, local soil conditions, and historical crop performance, the system provides precise recommendations for farmers, enhancing crop yield and resource utilization. In addition, it offers real-time news feeds relevant to the agricultural sector and current meteorological weather updates for farmers, empowering them with the information needed to make informed decisions and adapt to changing conditions. This innovative solution contributes to sustainable farming practices and economic viability while addressing the dynamic challenges of Indian agriculture.

Pages: 5781 - 5785