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Thenkaraimuthu Mariprasath on Muck Rack

Thenkaraimuthu Mariprasath

As seen in: Nature
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A multimodal dual-branch attention-centric YOLOv12 framework for real-time integrated pest and weed detection from UAV imagery in precision agriculture

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By Porkodi Karuvelampalayam Prabhakaran, Geetha Anbazhagan, Preethi Srinivasan, Mustafa Abdullah, Mykhailo Panchyk, Thenkaraimuthu Mariprasath
| Nature Verified
Abstract The combination of unmanned aerial vehicle technology and deep learning has revolutionized precision agriculture by facilitating the monitoring of crops using UAVs. The current pest and weed detection methods have limitations in that they use individual neural networks for pest and weed detection, leading to methodological fragmentation. This new framework clearly explains about a new pest and weed detection system dubbed AgriYOLO12-Dual, based on a unified detection framework.
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