Drone AI Cuts Fertilizer Use by 22 Percent While Boosting Sugarcane Yields
A field-validated system combining drone multispectral imaging, explainable XGBoost AI, and edge-controlled variable-rate application cut nitrogen fertilizer use by 21.8 ...
A field-validated system combining drone multispectral imaging, explainable XGBoost AI, and edge-controlled variable-rate application cut nitrogen fertilizer use by 21.8 ...
University of Arkansas researchers have developed a training-free, UAV-based adaptive sprayer that uses HSV vegetation segmentation and a weed-free soybean ...
A two-year Indian field study shows a random forest model can predict rice grain yield with over 96 percent accuracy ...
A new book argues that helping half of the world's 475 million smallholder farmers adopt regenerative agriculture could meet all ...
A two-year Texas field study shows that splitting nitrogen fertilizer between planting and silking, and cutting rates during drought, maintains ...
A new comprehensive review maps the rapid progress of agricultural robotics across harvesting, weeding, precision farming, and livestock management, while ...
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© 2025 Scienmag - Science Magazine