Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
The review shows that smart greenhouses using IoT, artificial intelligence, and robotics can greatly improve crop yields, resource efficiency, and sustainability by enabling real-time monitoring, ...
Unmanned Aerial Vehicles (UAVs) have rapidly emerged as transformative tools in modern agriculture, particularly in the ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
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