Hybrid model improves maize yield estimates in controlled phosphorus experiments
A controlled-experiment study found that hybrid support vector regression with grey wolf optimization most accurately estimated maize grain yield under ...
A controlled-experiment study found that hybrid support vector regression with grey wolf optimization most accurately estimated maize grain yield under ...
Researchers at the University of Gondar report that a voting ensemble of tree-based machine learning models combined with permutation-based feature ...
Researchers developed lightweight neural networks and a new RGB-D dataset that let robots detect accurate grasps for fruits of varying ...
A new RGB-D perception-to-action framework called E-YOLOv11-RGBD raised robotic greenhouse harvesting success from 51.7 to 92.5 percent by converting AI ...
Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice varieties with up to ...
A new PLOS Water study combines Sentinel-2 satellite data, OpenET evapotranspiration estimates, and unsupervised machine learning to reveal 13 distinct ...
An interpretable machine learning framework shows that high-dose organic fertilization, especially pig manure, improves blueberry fruit quality through rhizosphere pH ...
A five-season study shows that GNSS distance data from ordinary baling machinery can predict how many bales remain in a ...
Kyoto University researchers used machine learning to design a six-bacterium microbial community that significantly boosted tomato growth and high-temperature tolerance ...
Researchers in India have shown that a low-cost electrochemical soil sensor combined with a soil-aware XGBoost calibration model can estimate ...
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© 2025 Scienmag - Science Magazine