Predictive Farming: Harnessing Data and AI for Smarter, Sustainable Agriculture

TLDR

This research focuses on developing a predictive farming system powered by machine learning models to optimize crop management and yield prediction, and integrates a web-based interface using Flask- based backend for machine learning model deployment.

Abstract

Predictive Farming: Harnessing Data and AI for Smarter, Sustainable Agriculture leverages advanced technologies to enhance agricultural productivity, sustainability, and efficiency. This research focuses on developing a predictive farming system powered by machine learning models to optimize crop management and yield prediction. The project integrates a web-based interface using Flask- based backend for machine learning model deployment. The system analyzes agricultural data to provide insights on crop health, soil conditions, and optimal farming practices. The results demonstrate improved decision-making capabilities for farmers, leading to better resource utilization and increased crop yields.

Keywords :

Smart Farming, Machine Learning, Crop Management, Flask, Precision Agriculture, Agricultural Technology