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

BGI: AgroCycleAI reduces post-harvest loss, food price shocks, and agro-trade conflicts by using AI to guide buy/sell timing and storage. It builds income stability and food access in conflict-prone African regions, promoting peace through economic resilience.

Platform Growth: The platform launches with two AI microservices—price forecasting and spoilage alerts—deployed on SingularityNET. These services act as real-world use cases for AGIX, offering APIs for agro-entrepreneurs and enabling scalable AI consumption in agriculture.

Community: AgroCycleAI engages farmers, cooperatives, and rural hubs as regional nodes. Users earn AGIX for training, feedback, and platform use. Mobile/web and SMS delivery ensures inclusion. Offline education and open data foster innovation, adoption, and loyalty.

Problem description

In Africa, farmers and traders face severe post-harvest losses and unstable food prices due to lack of storage, market insights, and predictive tools. Many sell early at low prices, leading to food waste, income shocks, and conflict—especially in vulnerable regions. Existing solutions are either too expensive, centralized, or inaccessible to low-tech users, leaving millions without the tools to trade wisely or build resilience.

Proposed Solutions

AgroCycleAI uses AI and IoT to help traders and farmers predict the best time to buy, store, or sell crops. It deploys price forecasts and spoilage alerts as microservices on SingularityNET, integrates IoT warehouse monitoring, and rewards users with AGIX. The platform supports web, mobile, and SMS access—making AI tools affordable, transparent, and usable even in low-tech, high-risk areas, driving food security and peace.