• Mr. Utkarsh Arun Avalekar
• Dr. Jaydeep B. Patil
• Dr. Sangram T. Patil
• Prof. (Dr.) Jayendra A. Khot
• Prof. (Dr.) K. Prathapan

The integration of IoT and AI into Smart Farming Systems, supported by Cloud Computing and Wireless Sensor Networks, revolutionizes agriculture for precision, sustainability, and efficiency. The abstract outlines the interconnected modules of the proposed Smart Farming System architecture, emphasizing data-driven practices from data gathering to user interface and control. Research objectives aim at improving crop quality, optimizing yields, implementing weather-responsive strategies, and developing AI-based crop rotation. Hypotheses suggest transformative effects including AI-guided quality control and real-time weather data integration. This convergence signifies a paradigm shift towards environmentally conscious, resilient agriculture. With ongoing technological advancements, this integrated approach epitomizes innovation, heralding a future of precision farming and sustainable practices.

Artificial Intelligence, Cloud Computing, Smart Farming, Wireless sensor Network, IoT, Agricultural.

"Enhancing Agricultural Efficiency: Combining IoT, AI, Cloud Computing, and Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.c720-c729, June-2024, Available :http://www.jetir.org/papers/JETIR2406288.pdf

"Enhancing Agricultural Efficiency: Combining IoT, AI, Cloud Computing, and Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppc720-c729, June-2024, Available at : http://www.jetir.org/papers/JETIR2406288.pdf