Tomorrow.io, the global weather intelligence leader, headquartered in the United States, and a technology provider of U.S. agencies NOAA, NASA, and Department of Defense, has partnered with the National Irrigation Administration (NIA) to help farmers adapt to volatile and challenging climate conditions and boost productivity using Artificial Intelligence in the Philippines.
In collaboration with the Department of Agriculture (DA), the partnership aims to transform how weather forecasting supports farming by leveraging Tomorrow.io’s AI-driven models and proprietary network of low-orbit satellites. These satellites enable micro-weather forecasting at the plot level, allowing them to deliver precise and timely agronomy advice, such as when to apply pesticides or delay irrigation based on incoming rainfall.
This joint effort comes at a critical time, with the southwest monsoon (habagat) already starting to affect various parts of the country, signaling the arrival of the rainy season.
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In 2024 alone, the agriculture sector suffered ₱57.78 billion in damages due to weather disturbances, affecting over 1.4 million farmers and fishers. It resulted in the loss of 2.19 million metric tons of production across nearly 1 million hectares, based on data from the DA’s Disaster Risk Reduction and Management Operations Center. These figures underscore the urgent need for climate-resilient practices and more effective forecasting tools.
As a geographically complex archipelago, the Philippines faces unique weather forecasting challenges that traditional ground-based solutions cannot solve alone. With hundreds of islands, mountainous terrain, and remote regions, coverage gaps are inevitable. Tomorrow.io’s proprietary space-based satellite constellation is purpose-built to overcome these limitations, delivering real-time, high-resolution weather intelligence across the entire country, including the most remote and underserved areas. Tomorrow.io‘s, the only global provider of such a space technology, ensures truly national coverage, enabling faster, more accurate early warnings and decision-making during severe weather events.
SOURCE: PRNeswswire