Predictive Farming: Harnessing Data and AI for Smarter, Sustainable Agriculture
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
Authors
- Nenavath Premlal
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-02-05
- DOI
- https://doi.org/10.55041/ijsrem41392
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00