Handheld NDVI Sensor Accelerates Cassava Breeding in Nigeria
Researchers in Nigeria used an affordable handheld NDVI sensor to predict cassava yield with high accuracy at mid-season, opening a ...
Researchers in Nigeria used an affordable handheld NDVI sensor to predict cassava yield with high accuracy at mid-season, opening a ...
Combining satellite radar, wavelet analysis, and numerical modeling, researchers show that land in the Xiong'an New Area is shifting from ...
Researchers trained machine learning models on satellite oceanographic data to accurately predict microplastic abundance across the Indian Ocean.
A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...
Researchers in India have developed a single satellite-based index, GEMI, that simultaneously predicts nine grassland ecosystem services, outperforming traditional vegetation ...
A new hybrid AI architecture called Mamba-OrthoNet fuses global and local visual features with circular angle encoding to detect ship ...
A new study turns the classic vegetation index into a trainable neural layer and finds that its fixed, hand-crafted form ...
A new study combining satellite imagery, GIS and artificial neural networks maps agroforestry across Uttarakhand, revealing major expansion potential but ...
Researchers have developed CADE, a lightweight semi-supervised AI framework that predicts and generates future satellite imagery with high accuracy and ...
A 22-year satellite and field study of Cameroon's Santchou Wildlife Reserve shows mature forest collapsing under agricultural pressure, reveals which ...
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© 2025 Scienmag - Science Magazine