An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...

Detecting infectious disease threats early and responding quickly can dramatically alter the course of an infectious outbreak.

Malaria research stands at a critical crossroads in global health, as the disease continues to cause over 600,000 deaths each ...

When it comes to drought stress, timing can be the difference between saving a crop and losing it, whether in a greenhouse or in the high-stakes environment of future space missions. In a recent study ...

In late-March, I visited a wheat field in southern Sacramento County at the request of a crop consultant. The consultant had previously brought some sample plants to me at my office that had ...

BENTONVILLE -- A student-created app designed to help farmers is receiving national recognition. U.S. Rep. Steve Womack, R-Rogers, formally recognized four Bentonville West High School students ...

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.

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a powerful and label-efficient solution for real-world ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...