"Shadow Vector team on AMD AI League Hackathon"
Team Idea
Agri-Sight is an AI-powered crop health and safety evaluator designed to help farmers and agricultural stakeholders identify potential crop problems early. The system analyzes crop images and contextual information to detect visible signs of disease, nutrient deficiencies, pest damage, and other health risks. It then generates an easy-to-understand assessment with a health score, detected risks, confidence levels, and practical recommendations. The project will leverage AMD AI infrastructure and ROCm-supported open-source models to experiment with efficient AI inference and multimodal agricultural analysis. Our goal is to build an accessible AI evaluation system that transforms a simple crop image into actionable agricultural intelligence, helping users make faster and more informed decisions while reducing avoidable crop losses.
Team Members
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Saranyo Deyasi
DSaranyo
Submission
Submission draft in progress