Next-Gen Farming: IOT and ML-Enabled Real-Time Monitoring and Automation

Authors: Dr. Baisa Gunjal, Abhishek Karpe, Bhakti Kangune, Rishikesh Wakchaure, Sakshi Wakchaure

Country: India

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Abstract: Modern agriculture faces challenges in optimizing environmental conditions, soil health, and resource utilization to maximize crop yield. Traditional farming methods lack real-time monitoring and automation, leading to inefficiencies and reduced productivity. To address these issues, this paper presents an IOT-based smart agriculture system that integrates weather and soil sensors, automated irrigation, and predictive analytics.By continuously monitoring temperature, humidity, soil moisture, and nutrient levels, the system enables precise, data-driven decisionmaking. Automated irrigation ensures optimal water distribution, reducing wastage and improving crop health. Additionally, predictive analytics leverages historical data and machine learning models to provide insights into crop growth patterns and potential risks. The proposed system enhances agricultural productivity, conserves resources, and promotes sustainable farming practices.

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Paper Id: 232462

Published On: 2025-05-04

Published In: Volume 13, Issue 3, May-June 2025

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