Center for Advanced Innovation in Agriculture
Browse by
Collections in this community
-
Scholarly Works, Center for Advanced Innovation in Agriculture [12]
Research articles, presentations, and other scholarship
Recent Submissions
-
Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation
(Wiley, 2023-04)Plant growth-promoting bacteria (PGPB) may be of use for increasing crop yield and plant resilience to biotic and abiotic stressors. Using hyperspectral reflectance data to assess growth-related traits may shed light on ... -
Resources to Engage the Cyberbiosecurity Workforce Pipeline: Empowering Agricultural Educators and Middle School Girls in STEM
(2023-03-16)Initiating the Rural Cyberbiosecurity Workforce Pipeline Through Empowering Agricultural Educators & Supporting Middle School Girls: Project Resources About the Resources The resources and activities of this project ... -
Workload Assessment of Tractor Operations with Ergonomic Transducers and Machine Learning Techniques
(MDPI, 2023-01-27)Dynamic muscular workload assessments of tractor operators are rarely studied or documented, which is critical to improving their performance efficiency and safety. A study was conducted to assess and model dynamic load ... -
VTag: a semi-supervised pipeline for tracking pig activity with a single top-view camera
(Oxford University Press, 2022-06)Precision livestock farming has become an important research focus with the rising demand of meat production in the swine industry. Currently, the farming practice is widely conducted by the technology of computer vision ... -
Water Stress Identification of Winter Wheat Crop with State-of-the-Art AI Techniques and High-Resolution Thermal-RGB Imagery
(MDPI, 2022-12-02)Timely crop water stress detection can help precision irrigation management and minimize yield loss. A two-year study was conducted on non-invasive winter wheat water stress monitoring using state-of-the-art computer vision ... -
Securing the Food Industry: An Introduction to Cyberbiosecurity for Food Science
(2022-07-26)As technology becomes ever integrated into our food system and everyday life, our food industry and supply become ever more vulnerable to attack. Cyber attacks continue to threaten large and small companies, government ... -
How to Count Bugs: A Method to Estimate the Most Probable Absolute Population Density and Its Statistical Bounds from a Single Trap Catch
(MDPI, 2021-10-13)Knowledge of insect population density is crucial for establishing management and conservation tactics and evaluating treatment efficacies. Here, we propose a simple and universal method for estimating the most probable ... -
Forecasting dynamic body weight of nonrestrained pigs from images using an RGB-D sensor camera
(Oxford University Press, 2021-01-01)Average daily gain is an indicator of the growth rate, feed efficiency, and current health status of livestock species including pigs. Continuous monitoring of daily gain in pigs aids producers to optimize their growth ... -
Assessing the Role of Cyberbiosecurity in Agriculture: A Case Study
(Frontiers, 2021-08-19)Agriculture has adopted the use of smart technology to help meet growing food demands. This increased automation and associated connectivity increases the risk of farms being targeted by cyber-attacks. Increasing frequency ... -
ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science
(2021-02)Statistical graphics, and data visualization, play an essential but under-utilized, role for data analysis in animal science, and also to visually illustrate the concepts, ideas, or outputs of research and in curricula. ... -
Comparison of Single-Breed and Multi-Breed Training Populations for Infrared Predictions of Novel Phenotypes in Holstein Cows
(MDPI, 2021-07-02)In general, Fourier-transform infrared (FTIR) predictions are developed using a single-breed population split into a training and a validation set. However, using populations formed of different breeds is an attractive way ... -
Integrating genomic and infrared spectral data improves the prediction of milk protein composition in dairy cattle
(2021-03-16)Abstract Background Over the past decade, Fourier transform infrared (FTIR) spectroscopy has been used to predict novel milk protein phenotypes. Genomic data might help predict ...
RSS 1.0