Authors: Aaditya Said, Vivek Khalate, Shubham Sanap, Aayush Nahire, Deepali Suryawanshi
Abstract: Modern agriculture faces challenges such as soil degradation and suboptimal crop selection, leading to reduced productivity. The “Smart Farming-IOT based” project focuses on three key components: crop recommendation, fertilizer recommendation, and climate-based predictions. Using historical data, climate conditions, and soil characteristics, a machine learning model predicts the most suitable crops for a given area, ensuring optimal land use and increased yield. The project empowers farmers with real time insights to enhance productivity and support sustainable agriculture.
DOI: https://doi.org/10.5281/zenodo.17985636
