Discover how researchers are using machine learning models to predict soil temperatures in arid regions like Nukus, Uzbekistan, aiding sustainable food production and climate-resilient agriculture. This innovative approach integrates climatic factors to forecast soil temperatures accurately, offering insights for optimizing agricultural planning and crop selection in changing environmental conditions.
Agriculture
sophisticated application of artificial intelligence, often integrated into apps, holds the promise of revolutionizing how farmers manage their crops and optimize yields