Tag: machine learning in agriculture

A two-year UAV, LiDAR and climate modelling study in northern Kazakhstan shows that drone-based models can moderately rank spring wheat ...

Brazilian researchers show that hyperspectral reflectance combined with machine learning can identify soybean rust and target spot and grade their ...

An international research team has built an open, reproducible machine learning workflow that classifies honey seasons as poor, moderate, or ...

A new event-based machine learning approach reframes vineyard mildew forecasting as the prediction of disease-risk episodes rather than daily status ...

A plant-specific deep learning model called DeepGreenGO combines protein language model embeddings with graph neural networks to predict Gene Ontology ...

A two-year Indian field study shows a random forest model can predict rice grain yield with over 96 percent accuracy ...

A hybrid machine learning framework that reads leaf color, texture, and vein patterns diagnosed magnesium and iron deficiencies in field-grown ...

Chinese researchers have built an autonomous greenhouse robot that navigates seedling aisles with LiDAR, verifies leaf coverage in real time, ...

Researchers have developed a real-time AI framework and a new field-captured dataset, VerBeet, that localize sugar beets and detect breakage ...

European researchers have released a large multi-site, expertly annotated RGB image dataset of apple tree phenology, complete with deep learning ...