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Federal
Data from: Avian Sentinels Neural Nest: AI-Powered Bird Monitoring System for Real-Time Detection and Species Identification
Department of Agriculture —
Traditional bird deterrent methods, such as scarecrows, loud noise emitters, and netting, can become less effective over time due to bird habituation. This study... -
Federal
Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring
Department of Agriculture —
Managing beetles that infest stored products is crucial for reducing losses in harvest supply chains and improving food security and safety. Successful pest... -
Federal
The Bronson Files, Dataset 1, Field 17, 2012
Department of Agriculture —
Dr. Kevin Bronson provides this unique nitrogen and water management in cotton agricultural research dataset for compute, including notation of field events and... -
Federal
Image data of growth of Valencia sweet orange nonembryogenic cells on points from a 3-factor response surface design to determine the effects of mineral nutrition on growth
Department of Agriculture —
The data are images of tissue cultures of Valencia sweet orange nonembryogenic callus cells taken in 2005 at the U.S. Horticultural Research Laboratory, Ft. Pierce,... -
Federal
Data and Code from: Smart vision-based monitoring system for AI-driven moth population estimation using camera-equipped trap imaging
Department of Agriculture —
Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply... -
Federal
Image data of growth of Valencia sweet orange nonembryogenic cells on points from a 5-factor response surface design to determine the effects of mineral nutrition on growth
Department of Agriculture —
The data are images of tissue cultures of Valencia sweet orange nonembryogenic callus cells taken in 2006 at the U.S. Horticultural Research Laboratory, Ft. Pierce,... -
Federal
Image data of growth of Valencia sweet orange nonembryogenic cells on predicted points from a 5-factor response surface design
Department of Agriculture —
The data are images of tissue cultures of Valencia sweet orange nonembryogenic callus cells taken in 2006 at the U.S. Horticultural Research Laboratory, Ft. Pierce,... -
Federal
Data from: TaqMan-based duplex real-time PCR approach for analysis of grain composition (Zea mays - Sorghum bicolor) in feedstock flour mixes for bioethanol production
Department of Agriculture —
Some U.S bioethanol plants use a blend of maize and sorghum grains as feedstocks depending on availability and price. Knowledge of the grain composition of milled...