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Federal
UAV image and ground data of two citrus 'Valencia' orange (<i>Citrus</i> sinensis [L.] Osbeck) rootstock trials
Department of Agriculture —
The data are UAV (Unmanned Aerial Vehicle) and individual tree ground measurements collected from 2 citrus rootstock trials at the U.S. Horticultural Research... -
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
UAV image and ground data of citrus 'Bingo' mandarin hybrid (<i>Citrus </i>reticulata, Blanco) rootstock trial
Department of Agriculture —
The data are UAV ( (Unmanned Aerial Vehicle) and individual tree ground measurements collected in 2021 of 206 trees that were part of a citrus rootstock trial at the... -
Federal
Soil erosion and organic matter for central Great Plains cropping systems under residue removal
Department of Agriculture —
This study examined average annual changes in soil erosion from rainfall and wind forces, and trends in soil organic carbon (SOC). The diversity of geo-climatic land... -
Federal
Data from: Non-native scale insects (Hemiptera: Coccomorpha) of the United States and their impact on U.S. agriculture
Department of Agriculture —
Supplementary data files, figures, tables, and a list of R code used in analyses. These data, figures, and tables relate to the article entitled "Non-native scale... -
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
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 from: Draft Genome Assembly of Passalora sequoiae a Needle Blight Pathogen on Leyland Cypress
Department of Agriculture —
The objective was to generate a high-quality draft assembly of the whole genome as a resource for future applications such as temporal and spatial dispersal studies... -
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
The Bronson Files, Dataset 6, Field 13, 2014
Department of Agriculture —
Dr. Kevin Bronson provides a 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 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
The Bronson Files, Dataset 7, Field 13, 2015
Department of Agriculture —
Dr. Kevin Bronson provides a second experiment year of Field 13 nitrogen and water management in cotton agricultural research data for compute, including notation of... -
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 and Images from: Numerical Signature Dataset of Thoracic and Elytral Fragments from Curculionidae and Tenebrionidae Beetles for AI-Based Species Identification
Department of Agriculture —
This dataset presents curated and annotated 256×256 pixel image fragments of thoracic and elytral regions from six economically significant species within the beetle... -
Federal
Data from: Pyrosequencing-Based Analysis of the Microbiome Associated with the Horn Fly, Haematobia irritans
Department of Agriculture —
The bacterial 16S tag-encoded FLX-titanium amplicon pyrosequencing (bTEFAP) method was used to carry out the classification analysis of bacterial flora in adult... -
Federal
The Bronson Files, Dataset 3, Field 107, 2013
Department of Agriculture —
Dr. Kevin Bronson provides a small area nitrogen and water management in Guayule agricultural research dataset for compute, including notation of field events and... -
Federal
Data from: Visualizing Plant Responses: Novel Insights Possible through Affordable Imaging Techniques in the Greenhouse
Department of Agriculture —
Data of image calculation averages, coefficient of variations, and experimental measurements that were presented in the manuscript, Visualizing Plant Responses: Novel... -
Federal
Genome analysis of the ubiquitous boxwood pathogen Pseudonectria foliicola: A small fungal genome with an increased cohort of genes associated with loss of virulence
Department of Agriculture —
Boxwood plants are affected by many different diseases caused by fungi. Some boxwood diseases are deadly and quickly kill the infected plants, but with others, the...