6 datasets found
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Federal
USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I
Department of Agriculture —
In 2014–2022, USDA-ARS Tucson, AZ, by itself and in collaboration with other precision apiculture (PA) research programs, including the PA program at Utah State... -
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: Are historical trends in weather consistent with model predictions in the Central United States?
Department of Agriculture —
This dataset includes the monthly and daily data used for the analysis of historical and future trends in precipitation and temperature at five Long-Term... -
Federal
TEAMER: Experimental Validation and Analysis of Deep Reinforcement Learning Control for Wave Energy Converters
Department of Energy —
Through this TEAMER project, Michigan Technological University (MTU) collaborated with Oregon State University (OSU) to test the performance of a Deep Reinforcement... -
Federal
Data from: Differentiation of the foliar microbiomes from co-occurring grass species reflects their recency of invasion
Department of Agriculture —
These microbiome data and analyses are part of a DNA amplicon sequencing project performed by USDA-ARS scientists at the Foreign-Disease Weed Science Research Unit in... -
Federal
Data and Code From: AI-Based bread quality assessment using image processing techniques and the developed BQe-CNN
Department of Agriculture —
Ensuring consistent bread quality is vital for maintaining industry standards, reducing waste, and keeping consumer satisfaction. Traditional methods of bread quality...
6 datasets found