A group of BSIT-MWA students working on ANIKLO, an Agricultural Crop Surplus Monitoring System with Predictive Analytics.
ANIKLO is an Agricultural Surplus Monitoring System with Predictive Analytics designed to help farmers, buyers, and Local Government Units (LGUs) identify potential crop oversupply risks and the factors that causes it through data-driven insights.
The system consolidates agricultural data such as crop production, farmer records, client demand, and harvest trends to support better decision-making, reduce crop waste, and improve agricultural planning at the local level.
- Farmer and crop data management
- Crop production tracking and monitoring
- Oversupply risk analysis
- Client demand verification and matching
- Communication between farmers, clients, and LGU
- Mobile-based crop tracking and insights
- Support LGUs in proactive agricultural planning and decision-making
- Help farmers make informed production decisions
- Improve coordination between farmers and buyers
- Provide predictive insights using data analytics
- Prevent crop surplus and food waste
Celesse Aisle Nacpil 
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Princess Glyza Bermudez 
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Princess Denese Manuel 
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Christopher Naval 
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Jose Neil Silagan Jr. 
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