This paper presents the design and development of CropCare+, an intelligent drone-assisted system aimed at improving efficiency and sustainability in modern agricultural practices through precision farming techniques. The proposed system integrates targeted pesticide and water spraying, real-time crop health monitoring using image processing, soil moisture sensing, and automated irrigation support through a ground-based control unit. A quadcopter-mounted Raspberry Pi captures crop images using an RGB camera and performs on-device machine learning inference to identify crop stress, pest infestation, and disease conditions.Environmental parameters such as soil moisture, temperature, and humidity are continuously monitored using an ESP32-based ground unit, which controls irrigation sprinklers through relay mechanisms based on real-time field conditions and drone feedback. The system enables precise intervention by triggering localized spraying only in affected areas, thereby reducing chemical usage and conserving water.Experimental evaluations demonstrate that the proposed approach reduces manual labor, minimizes resource wastage, and enhances decision-making through real-time data acquisition and visualization on a remote dashboard. CropCare+ provides a scalable and cost-effective prototype for drone-assisted precision agriculture, bridging the gap between conventional farming practices and intelligent, data-driven farm management systems.
Drone Technology, Health Monitor, Pesticide Sprinkling, Water Supply Automation.
IRE Journals:
Sumit Pandey, Shobita Pawar, Amit Pandey, Dr. Manoj S. Kavedia "CropCare+: Intelligent Drone for Real-Time Farm Monitoring and Action" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 2550-2556 https://doi.org/10.64388/IREV9I10-1716661
IEEE:
Sumit Pandey, Shobita Pawar, Amit Pandey, Dr. Manoj S. Kavedia
"CropCare+: Intelligent Drone for Real-Time Farm Monitoring and Action" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716661