Drone Data Reveals the Critical Wheat Growth Window That Predicts Yield
A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...
A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...
A new SARIMA-based forecasting framework using two decades of MODIS satellite data projects that India's mangrove vegetation will continue a ...
A new deep learning framework reconstructs invisible Red Edge and near-infrared bands from ordinary RGB drone imagery, bringing multispectral crop ...
A three-year Georgia field study found that machine learning models fed PlanetScope satellite vegetation indices could not reliably predict peanut ...
A new study shows that a low-cost 3D multispectral sensor combined with machine learning can classify rice bacterial blight severity ...
Researchers in South Dakota combined drone multispectral imagery with an attention-enhanced deep learning model to estimate wheat tiller density with ...
A three-year study in a Japanese forest shows that 3-meter-resolution PlanetScope satellite imagery, validated against drone and ground observations, can ...
A new study in the Brazilian Cerrado shows that the phenological stage at which satellite images are captured can be ...
Researchers combined a CNN-LSTM deep learning network pre-trained on radiative transfer simulations with transfer learning to estimate potato leaf area ...
Researchers in India have developed a single satellite-based index, GEMI, that simultaneously predicts nine grassland ecosystem services, outperforming traditional vegetation ...
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© 2025 Scienmag - Science Magazine