Top Problem Statements with Solution Ideas for Hackathon 2024 Agriculture, Food Tech

[{"selector":"#anim-c538590f-61f6-4403-90b0-af42f7c811d4","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] The Agriculture, Food Tech & Rural Development theme in the Smart India Hackathon 2024 (SIH 2024) offers various opportunities for innovation in India’s primary sector—agriculture. Below is a table summarizing this theme’s top 10 project ideas, including their descriptions and potential impacts.

1. Student Innovation in Agriculture

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2. Drone-Based Intelligent System for Apple Orchard

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3. Mobile App for Direct Market Access for Farmers

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4. AI-Driven Crop Disease Prediction and Management System

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5. Sustainable Fertilizer Usage Optimizer for Higher Yield

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In Conclusion, the top project ideas within the Agriculture, Food Tech & Rural Development theme of SIH 2024, showcasing opportunities to drive innovation in India’s agricultural sector. Each project offers the potential to create a meaningful impact, whether by improving productivity, ensuring sustainability, or empowering farmers.

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Top Problem Statements with Solution Ideas for Hackathon 2024 Agriculture, Food Tech

By: Engineer's Planet

1. Student Innovation in Agriculture

2. Drone-Based Intelligent System for Apple Orchard

3. Mobile App for Direct Market Access for Farmers

The proposed project is a Mobile Application for Direct Farmer-to-Consumer Sales developed using Python with a Django backend and a React Native frontend. The app will enable farmers to list their produce, negotiate prices

4. AI-Driven Crop Disease Prediction and Management System

This project involves creating an AI-Powered Crop Disease Detection System using Python. The system will analyze images of crops taken by farmers using their smartphones and predict potential diseases using deep learning models.

5. Sustainable Fertilizer Usage Optimizer for Higher Yield

The project proposes developing a Sustainable Fertilizer Recommendation System using Python. The system will analyze soil health, crop type, and weather patterns to provide farmers with optimized fertilizer usage recommendations.

Learn more in the blog