The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Researchers use machine learning and satellite data to harvest mountain fog, offering a low-cost, climate-resilient water ...
Agro Spectrum India on MSN
Texas Tech and PAU turn to AI to fast-track next-gen climate-resilient crops
US-India Research Alliance aims to revolutionize wheat and rice breeding with artificial intelligence, drones and advanced ...
Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
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