Status : Verified
| Personal Name | Rodelas, Michael A. |
|---|---|
| Resource Title | Luzon Bagsakan: a feasibility study of basic agri-products grading, sales and automated knowledge analysis network along the La Trinidad, Benguet-Balintawak Market Corridor - an AI ecosystem for predictive market matching and logistics optimization |
| Date Issued | 3 July 2026 |
| Abstract | The Philippine agriculture industry is plagued by serious economic problems. Major perishable crops lose about 40% of their value due to subjective manual grading, information asymmetry, and transportation bottlenecks. The paper discusses the feasibility of Project Luzon Bagsakan, an integrated artificial intelligence (AI) system that can classify agricultural products, facilitate sales, and establish an Automated Knowledge Analysis Network to address major gaps in the supply chain. In this paper, we assess the technical, economic, legal, operational, and scheduling feasibility of three core AI components using the TELOS Feasibility Framework. These components are a Computer Vision Module based on a Convolutional Neural Network (CNN), for objective crop grading, a Predictive Analytics Engine for price forecasting and supply-demand matching, and a Logistics Optimization Module based on vehicle routing and backhaul optimization algorithms. Methodologically, a mixed-method approach was used to assess the AI readiness and feasibility among 65 stakeholders of La Trinidad Trading Post (LTVTP), Benguet Agri-Pinoy Trading Center (BAPTC) hub, and Balintawak Market via logic-branched digital and paper-based surveys. The study culminates in the proposal of a strategic roadmap designed to model a digitally traceable and environmentally sustainable agricultural supply chain for the Philippines. This ecosystem shows that there is a way to secure a fair value for local farmers and at the same time stabilize food prices for urban dwellers, even with a modest level of initial technological infrastructure |
| Degree Course | Master of Technology Management |
| Language | English |
| Keyword | Project Luzon Bagsakan Integrated AI System |
| Material Type | Thesis/Dissertation |
Preliminary Pages
178.68 Kb
Category : P - Author wishes to publish the work personally.
Access Permission : Limited Access