Smart Farming Boosts Nitrogen Efficiency and Yields in Dryland Crop-Livestock Systems
A comprehensive review finds that AI, IoT sensors, remote sensing and precision fertilisation can dramatically raise nitrogen use efficiency, yield ...
A comprehensive review finds that AI, IoT sensors, remote sensing and precision fertilisation can dramatically raise nitrogen use efficiency, yield ...
A five-season study shows that GNSS distance data from ordinary baling machinery can predict how many bales remain in a ...
A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...
A two-year UAV, LiDAR and climate modelling study in northern Kazakhstan shows that drone-based models can moderately rank spring wheat ...
A two-year Indian field study shows a random forest model can predict rice grain yield with over 96 percent accuracy ...
A new study in the Brazilian Cerrado shows that the phenological stage at which satellite images are captured can be ...
Researchers in Puno, Peru, have released AgroYachay, an open-source platform that turns low-cost ESP32 sensor telemetry into pest diagnoses, agronomic ...
Researchers in Nigeria used an affordable handheld NDVI sensor to predict cassava yield with high accuracy at mid-season, opening a ...
A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...
A systematic review of 199 studies finds that drone-based remote sensing is transforming rice breeding and field management, while cross-regional ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine