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Federal
Image dataset of plant-parasitic nematodes associated with cool-season turfgrass for machine learning and deep learning classification algorithms
Department of Agriculture —
The dataset contains micrographs of Hoplolaimus, Helicotylenchus, Meloidogyne, Mesocriconema, Pratylenchus, Trichodorus, and Tylenchorhynchus nematodes. The data were... -
Federal
Data and code from: Severity of charcoal rot disease in soybean genotypes inoculated with <i>Macrophomina phaseolina</i> isolates differs among growth environments
Department of Agriculture —
This dataset includes all the raw data and all the R statistical software code that we used to analyze the data and produce all the outputs that are in the figures,... -
Federal
NAL Agricultural Thesaurus and Glossary
Department of Agriculture —
The NAL Agricultural Thesaurus (NALT) was first released by the National Agricultural Library in 2002, with in-depth coverage of agriculture, biology, and related... -
Federal
Data from: Genome sequence of the chestnut blight fungus Cryphonectria parasitica EP155: A fundamental resource for an archetypical invasive plant pathogen
Department of Agriculture —
The ascomycete fungus Cryphonectria parasitica is the causal agent of chestnut blight disease. This deadly fungal pathogen was introduced into North America from Asia... -
Federal
Cryptocephalinae of the World
Department of Agriculture —
The Cryptocephalinae of the World (http://camptosomata.myspecies.info/) serves to maintain images, updated classification, and bibliography of cryptocephaline leaf... -
Federal
Data from: Not just crop or forest: building an integrated land cover map for agricultural and natural areas (tabular files)
Department of Agriculture —
Introduction and Rationale: Due to our increasing understanding of the role the surrounding landscape plays in ecological processes, a detailed characterization of... -
Federal
Data from: Update to the USDA-ARS Fixed-Wing Spray Nozzle Models
Department of Agriculture —
Published in Transactions of the ASABE 58(2): 281-295 (doi: 10.13031/trans.58.10896). 2015 American Society of Agricultural and Biological Engineers. The current... -
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
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
UAS imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient
Department of Agriculture —
This dataset consists of UAS flight images from three sites along an elevation and precipitation gradient within Reynolds Creek Experimental Watershed collected... -
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
Agroecological classes | 2018
Department of Agriculture —
https://www.reacchpna.org/sites/default/files/AR3_1.2.pdf Pixel classification: Classification, Stable, Dynamic, Unstable Urban, 1, 101, 202 Rangeland, 3, 103, 203... -
Federal
Data from: Exotic herbivores and fire energy drive standing herbaceous biomass but do not alter compositional patterns in a semiarid savanna ecosystem
Department of Agriculture —
The data comprise 2 years of biomass and plant community data from a study on fire and herbivore impacts on vegetation in semi-arid Texas savanna. Data are from 72... -
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
Current and projected research data storage needs of Agricultural Research Service researchers in 2016
Department of Agriculture —
The USDA Agricultural Research Service (ARS) recently established SCINet , which consists of a shared high performance computing resource, Ceres, and the dedicated... -
Federal
Agricultural Conservation Planning Framework (ACPF) Toolbox
Department of Agriculture —
Spatial data on soils, land use, and topography combined with knowledge of conservation effectiveness can be used to reduce nutrient discharge from small watersheds.... -
Federal
Data from: Data for the calculation of an indicator of the comprehensiveness of conservation of useful wild plants
Department of Agriculture —
The datasets and code presented in this Data in Brief article are related to the research article entitled "Comprehensiveness of conservation of useful wild plants:... -
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...