When Ground-Truth Fidelity Matters: An Orchestrated UAS Framework for Wheat Streak Mosaic Virus Detection Using Vision Transformers and Machine Learning
Leveraging vision transformers and autonomous drones to combat wheat streak mosaic virus in cereal crops.
Wheat streak mosaic virus (WSMV) is a destructive pathogen of sweet corn and other cereal crops, causing yield losses and complicating early detection because symptoms are spatially variable and subtle. In sweet corn seed production, WSMV also has regulatory importance, as phytos...
ArXiv CS.CV
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Integrating vision transformers with autonomous drone orchestration allows for the precise, scalable identification of subtle plant pathogens that escape human detection. This framework significantly reduces crop yield losses by enabling targeted interventions based on high-fidelity, real-time diagnostic data.
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