A research team has developed an innovative automated method, SSP-MambaNet, designed to address the challenge of identifying and counting missing virus-free strawberry seedlings in nutrient pots ...

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 ...

Cities are particularly vulnerable to heat stress because paved and densely built-up areas tend to store heat. More frequent and intense heat waves are a growing challenge for public health and urban ...

Technological Innovation: Revolutionary Breakthrough in Multidimensional Data Collection ...

Biologists and computational scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory recently ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet ...

AI models can deliver localized forecasts faster and cheaper than traditional models. The challenge is getting this ...

Reply to: “Baseline Brain Metastasis Imbalance in TRUST: Implications for Interpreting Intracranial Efficacy of Taletrectinib” and “Taletrectinib in ROS1 Fusion–Positive Non–Small Cell Lung Cancer: ...

Initial international shipments demonstrate expanding commercial applications of advanced sensor for use in agronomy and research WICHITA, Kan., Sept. 09, 2025 (GLOBE NEWSWIRE) -- AgEagle Aerial ...

Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, ...