May 20, 2025

Technical staff from the Philippine Rice Information System (PRiSM) recently gathered at the PhilRice Central Experiment Station in the Science City of Muñoz, Nueva Ecija, to participate in the third installment of the ASTI-ALaM Technical Validation and User Acceptance Workshop. This event was held as part of their ongoing partnership with PhilRice-PRiSM.

Held from 14 to 15 May 2025, the workshop focused on the thorough validation of AI models developed for rice crop monitoring. These models are specifically designed to process remote sensing data and transition from experimental research to operational use within PRiSM’s workflows.

During the two-day event, technical staff participated in a comprehensive curriculum of expert-led lectures and intensive hands-on exercises. These activities equipped them with practical skills in data engineering, neural network development, and advanced deep learning techniques tailored for agricultural applications.

A core component of the sessions was the demonstration of how AI models, trained on multispectral satellite imagery and temporal patterns, can effectively automate crop mapping. This move toward automation is expected to deliver more timely and actionable insights, giving decision-makers a clearer, real-time view of national crop health and distribution.

The partnership between DOST-ASTI and PhilRice underscores a shared commitment to scalable, AI-enabled solutions that bridge the gap between high-level research and field deployment. This collaboration represents a significant leap in agricultural innovation, ensuring that the country’s rice monitoring remains robust, data-driven, and capable of addressing food security challenges.