AgriSense is an AI-powered platform that promotes sustainable farming by delivering intelligent insights through image-based crop analysis. It empowers farmers to make informed decisions via automated crop classification, health assessment, and yield estimation. Built with deep learning and a feedback-driven design, AgriSense enhances agricultural productivity while reducing diagnostic uncertainty. Its intuitive interface, localized recommendations, and progress tracking make precision agriculture accessible and impactful—especially for smallholder farmers in resource-limited regions.
Keywords: Machine Learning,Cloud Computing,Precision Agriculture,AgriTech
Tools: TensorFlow,PyTorch,Next.js,Firebase,Python
Department: Department of Computer Science
Tools: TensorFlow,PyTorch,Next.js,Firebase,Python
Department: Department of Computer Science
Project Poster
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