WORLD (Enmaeya News) - November 26, 2025

Advances in artificial intelligence (AI) are rapidly changing how weather is predicted, a shift that could hold major implications for farmers across the globe.

According to The Conversation, a recent study argues that AI-based forecasting models can deliver accurate, localized weather predictions more quickly and at lower cost than traditional methods. 

Traditional weather forecasts rely on complex physics-based models that simulate how the atmosphere works. These models need supercomputers, large data centers, and a lot of computing power.

AI-based weather models work differently. They learn from decades of past weather data and can generate forecasts using much less computing power, sometimes on a single computer or even a laptop.

This is especially important for low- and middle-income countries, where limited resources and outdated infrastructure make it hard to access accurate local forecasts. AI could provide a cheaper and faster alternative, making weather information more widely available.

For farmers, especially smallholders, reliable weather forecasts can make a big difference. They help farmers decide when to plant or harvest, how to use water and fertilizers efficiently, and reduce crop losses. Better forecasts can lead to higher yields and more stable incomes.

In Lebanon, where farmers are struggling with severe drought, AI-driven weather forecasts could offer crucial guidance for planting, irrigation, and crop management.

Some experimental AI forecasting systems are already performing as well as or better than traditional models, providing detailed forecasts days or weeks in advance. 

As climate change brings more unpredictable weather, AI in forecasting offers a new tool for agriculture. If widely adopted, it could transform farming, especially in areas where traditional meteorological services are limited.