Photographic examples of a plant disease dataset. (a) Balck rot; (b) Northern leaf blight; (c) Isariopsis leaf spot; (d) Brown spot. Researchers have made significant progress in the field of ...

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...