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AgriAI: Smart Crop Health Prediction

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AgriAI: Smart Crop Health Prediction

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VISHNU VAIBHAV Oct. 22, 2025
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Challenge: Social and environmental impact

Industries

Agriculture & FoodAlgorithmic/technicalHealth and wellness

Technologies

Computer visionData science & analyticsLLMs & NLP

Description

AI-powered platform that uses drone and satellite imagery combined with predictive models to detect crop diseases early, forecast yields, and recommend sustainable treatments. It enables farmers to reduce chemical use, cut costs, and increase productivity through precise, data-driven insights.

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

Problem description

Farmers often detect crop diseases too late, leading to major yield loss and increased pesticide usage. Lack of affordable tools for real-time monitoring and predictive insights limits small and mid-scale farmers from optimizing resources and preventing infestations early.

Proposed Solutions

AgriAI combines drone-captured imagery and AI vision models to analyze plant health, detect stress patterns, and forecast disease spread. The integrated LLM assistant provides actionable recommendations in local languages and connects farmers to verified suppliers for organic solutions.

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