A research team led by Prof. Jiang Ni from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences (CAS) proposed a cost-effective method for in-field acquisition ...

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 ...

The thesis not only showcases technical advancements but also underscores the importance of interpretability and scalability in agricultural AI solutions. Farmers and stakeholders are more likely to ...

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

A research team has developed a novel weakly supervised deep learning method that reconstructs spectral data from inexpensive ...

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 ...

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 ...

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 ...