IoT-Enabled Real-Time Weed Management System with Precision IR Laser Ablation and Integrated Water-Curtain Cooling

Author(s)	Dr. Sonali N M, Mr. Rohan Lobo, Mr. Rohan K, Mr. Shashank S P
Country	India
Abstract	Automated weed management is transforming modern agriculture, aiming to boost efficiency while reducing our reliance on harmful chemicals. This review tracks the evolution of weed control, moving from traditional herbicide spraying to advanced, non chemical technologies. We see exciting progress in deep learning specifically models like YOLOv8 that allow robots to detect weeds with high precision. One of the most promising innovations is laser weeding, which zaps weeds without chemicals. However, this brings a new challenge: the risk of starting fires in dry fields. To solve this, we reviewed current technologies and identified a need for a system that balances power with safety. We propose a new, integrated framework that combines computer vision-guided infrared lasers with synchronized protective curtains and a ’water wall’ mist. This design ensures weeds are eliminated effectively while keeping the operation cool and fire safe.
Keywords	Automated Weed Management, Laser Based Weeding, Deep Learning, Computer Vision, Agricultural Robotics, Fire Mitigation, Sustainable Agriculture, Precision Farming
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-07
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.61976

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