• Siddhi Chakave
• Lisha Suresh
• Aswini Nambiar
• Shreya Sunil
• Dr. Prashant Nitnaware

Agricultural productivity and efficiency are crucial for global food security. Intelligent Farming by Leveraging Advanced Computational Techniques is an innovative system that integrates artificial intelligence (AI), the Internet of Things (IoT), and cloud-based analytics to enhance precision farming. The project utilizes deep learning models, particularly MobileNetV2, for automated plant disease detection, combined with real-time environmental monitoring using Arduino-based sensors for soil moisture, temperature, and humidity tracking. A Flask-based backend processes data and stores it in Firebase Realtime Database, ensuring secure and scalable access. Farmers interact with the system through a React.js dashboard, which provides intuitive data visualization, real-time insights, and alerts for proactive decision-making. The implementation of this intelligent farming solution reduces resource wastage, improves crop health, and optimizes farming operations. Future advancements include expanding disease detection capabilities, predictive analytics for risk assessment, and automated irrigation control. This project contributes to the digital transformation of agriculture, fostering sustainability and efficiency through cutting-edge computational technologies.

Intelligent Farming, IoT, AI, MobileNetV2, Precision Agriculture, Cloud Computing, React.js, Firebase

"Intelligent Farming By Leveraging advanced Computational Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.k226-k229, April-2025, Available :http://www.jetir.org/papers/JETIR2504A27.pdf

"Intelligent Farming By Leveraging advanced Computational Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppk226-k229, April-2025, Available at : http://www.jetir.org/papers/JETIR2504A27.pdf