Following the rise in Mpox cases, particularly in countries where the disease had not traditionally been observed, the World ...

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

A Texas A&M AgriLife Research study shows artificial intelligence can predict crop pest outbreaks more accurately than ...

Artificial intelligence is rapidly integrating into botany, from classroom tools that identify plants using images to advanced research models predicting crop growth for automated grafting. Educators ...

Illinois farmers are increasingly using drones for crop scouting, pest detection, and NDVI imagery to monitor plant health, while AI-driven analytics expand from agriculture to turf and lawn care.

A review published in Agriculture outlines how integrating these tools into farming practices could play a decisive role in ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Crop Disease Detection using Machine Learning is a CNN-based system that identifies crop diseases from leaf images and provides preventive measures, helping farmers detect diseases early and reduce ...

Abstract: Precisely identifying crop diseases is a key to achieving high agricultural productivity as well as reduction of agricultural yield losses. Conventional practices in detection of crop ...

The largest liver study in the history of the NHS has launched this week, aiming to detect liver disease at an early stage so treatment can begin before it progresses to cirrhosis. Around 70% of ...

Abstract: Crop diseases remain a major threat to global agricultural productivity, particularly in resource-constrained regions, where early intervention is critical to ensuring food security.