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AgroCycle AI

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AgroCycle AI

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Joymnena Oct. 24, 2025
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Challenge: Social and environmental impact

Industries

Agriculture & FoodCommerceSustainability & Environment

Technologies

Blockchain & infrastructureData science & analyticsNarrow AI

Tags

AICrypto

Description

 

AgroCycleAI digitizes grain and vegetable storage using AI, IoT, and blockchain to monitor humidity, temperature, and spoilage risk in warehouses. It predicts optimal sale timing and ensures transparency across supply chains, reducing post-harvest loss, stabilizing food prices, and improving farmers’ income.

Detailed Idea

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

Problem description

Across Africa, 30–40% of food is lost yearly due to poor post-harvest management, unreliable storage, and lack of climate monitoring. Farmers and traders operate blindly, losing both profit and product. These inefficiencies deepen food insecurity and waste, despite abundant production potential.

Proposed Solutions

Deploy IoT kits in warehouses to monitor humidity, CO₂, and moisture levels. AI predicts spoilage and market demand, while blockchain logs and verifies data for transparency. Mobile dashboards help cooperatives optimize sales timing. Reduces losses by up to 30% and improves profitability and food access across Africa.

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