Agricultural scientists from around the world are exploring artificial methods to increase crop yields and bolster global food security. In a recent study published in Nature, researchers from the University of Cambridge in the UK have developed a novel approach to improving crop yields using artificial intelligence and machine learning algorithms. By combining data from satellites, drones, and soil sensors, the team has created a model to accurately predict and optimize the growth of crops. The model can account for factors such as temperature, sunlight, and soil conditions, allowing farmers to adjust their planting and harvesting strategies to maximize their yields. This groundbreaking approach has the potential to revolutionize the way we produce food, ensuring that everyone has access to the sustenance they need.

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source: Phys.org