Center for Advanced Innovation in Agriculture
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Scholarly Works, Center for Advanced Innovation in Agriculture [6]
Research articles, presentations, and other scholarship
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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 ...
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