Agriculture
Updates every hour. Last Updated: 27-Nov-2025 09:11 ET (27-Nov-2025 14:11 GMT/UTC)
Calcium tests in poultry offer chance for improved feed efficiency
University of Arkansas System Division of AgriculturePeer-Reviewed Publication
A study on calcium bioavailability by researchers with the Arkansas Agricultural Experiment Station show that two calcium availability tests — a classic approach and a newer, speedier test — offer reliable results that can help poultry producers optimize calcium digestibility.
- Journal
- Poultry Science
AI in Agriculture Symposium, hackathon set for September in Fayetteville
University of Arkansas System Division of AgricultureMeeting Announcement
APS PRESS releases third edition of cotton industry’s most trusted diagnostic resource
American Phytopathological SocietyBook Announcement
Is composting worth it? The calculation is complicated
University of ConnecticutPeer-Reviewed Publication
Jackson Somers, assistant professor of agricultural and resource economics in the College of Agriculture, Health and Natural Resources (CAHNR), investigated participation rates and the economics behind residential composting programs. Somers published his findings in the Journal of Environmental Economics and Management.
Somers found that on average, there is a 2.3-pound reduction in the amount of organic waste going into landfills per household per week when a city implements a composting program, using Austin, Texas as an example. This represents only about 30% of the average weekly food waste generated by a U.S. household.
- Journal
- Journal of Environmental Economics and Management
New few-shot learning model enhances crop disease recognition accuracy
Nanjing Agricultural University The Academy of ScienceA research team has developed PlantCaFo, an advanced few-shot plant disease recognition model powered by foundation models, capable of achieving high accuracy with only a handful of training images.
- Journal
- Plant Phenomics
Ensemble AI unlocks hidden tree crown structures in dense forests
Nanjing Agricultural University The Academy of ScienceA research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning to predict maximum crown width height (HMCW) in Chinese fir with unprecedented accuracy.
- Journal
- Plant Phenomics