@article{nguyen_holt_knauer_abner_lobaton_young_2023, title={Towards rapid weight assessment of finishing pigs using a handheld, mobile RGB-D camera}, volume={226}, ISSN={["1537-5129"]}, url={https://doi.org/10.1016/j.biosystemseng.2023.01.005}, DOI={10.1016/j.biosystemseng.2023.01.005}, abstractNote={Pig weight measurement is essential for monitoring performance, welfare, and production value. Weight measurement using a scale provides the most accurate results; however, it is time consuming and may increase animal stress. Subjective visual evaluations, even when conducted by an experienced caretaker, lack consistency and accuracy. Optical sensing systems provide alternative methods for estimating pig weight, but studies examining these systems only focus on images taken from stationary cameras. This study fills a gap in existing technology through examining a handheld, portable RGB-D imaging system for estimating pig weight. An Intel RealSense camera collected RGB-D data from finishing pigs at various market weights. 3D point clouds were computed for each pig, and latent features from a 3D generative model were used to predict pig weights using three regression models (SVR, MLP and AdaBoost). These models were compared to two baseline models: median prediction and linear regression using body dimension measurements as predictor variables. Using 10-fold cross validation mean absolute error (MAE) and root-mean-square error (RMSE), all three latent feature models performed better than the median prediction model (MAE = 12.3 kg, RMSE = 16.0 kg) but did not outperform linear regression between weight and girth measurements (MAE = 4.06 kg, RMSE = 4.94 kg). Of the models under consideration, SVR performed best (MAE = 9.25 kg, RMSE = 12.3 kg, mean absolute percentage error = 7.54%) when tested on unseen data. This research is an important step towards developing rapid pig body weight estimation methods from a handheld, portable imaging system by leveraging deep learning feature outputs and depth imaging technology.}, journal={BIOSYSTEMS ENGINEERING}, author={Nguyen, Anh H. and Holt, Jonathan P. and Knauer, Mark T. and Abner, Victoria A. and Lobaton, Edgar J. and Young, Sierra N.}, year={2023}, month={Feb}, pages={155–168} }
 @article{anderson_holt_boyd_heugten_2021, title={Impact of Replacing Soybean Meal with Corn DDGS and Crystalline Amino Acids on Performance and Carcass Characteristics of Growing Pigs}, volume={99}, ISSN={["1525-3163"]}, DOI={10.1093/jas/skab054.119}, abstractNote={Abstract}, journal={JOURNAL OF ANIMAL SCIENCE}, author={Anderson, Brooke E. and Holt, Jon P. and Boyd, R. D. and Heugten, Eric}, year={2021}, month={May}, pages={72–72} }
 @article{baysinger_ayers_wisdom_holt_2021, title={Panel: Recent Practical Advancements Related to On-farm Animal Welfare in the United States}, volume={99}, ISSN={["1525-3163"]}, DOI={10.1093/jas/skab054.015}, abstractNote={Abstract}, journal={JOURNAL OF ANIMAL SCIENCE}, author={Baysinger, Angela and Ayers, Paul and Wisdom, Stephanie and Holt, Jon P.}, year={2021}, month={May}, pages={9–9} }
 @article{anderson_holt_heugten_poole_2020, title={Changes in growth performance, feeding behaviors, and posture behaviors of growing pigs subjected to low-intensity heat stress}, volume={98}, ISSN={["1525-3163"]}, DOI={10.1093/jas/skaa278.006}, abstractNote={Abstract}, journal={JOURNAL OF ANIMAL SCIENCE}, author={Anderson, Lauren E. and Holt, Jonathan P. and Heugten, Eric and Poole, Daniel H.}, year={2020}, month={Nov}, pages={3–3} }
 @article{anderson_holt_heugten_poole_2020, title={Changes in serum cortisol concentrations and cytokine profiles of growing pigs subjected to low-intensity heat stress}, volume={98}, ISSN={["1525-3163"]}, DOI={10.1093/jas/skaa278.480}, abstractNote={Abstract}, journal={JOURNAL OF ANIMAL SCIENCE}, author={Anderson, Lauren E. and Holt, Jonathan P. and Heugten, Eric and Poole, Daniel H.}, year={2020}, month={Nov}, pages={266–266} }
 @article{clark_anderson_holt_dittoe_ricke_2020, title={Characterizing sow microbiome and drinking water quality at different production locations}, volume={98}, ISSN={["1525-3163"]}, DOI={10.1093/jas/skaa278.526}, abstractNote={Abstract}, journal={JOURNAL OF ANIMAL SCIENCE}, author={Clark, Katelyn M. and Anderson, Lauren E. and Holt, Jonathan P. and Dittoe, Dana and Ricke, Steven C.}, year={2020}, month={Nov}, pages={292–292} }
 @article{holt_sundstrom_hash_2020, title={Growth performance, blood urea nitrogen and gut morphology of nursery pigs fed a novel, plant-based protein}, volume={98}, ISSN={["1525-3163"]}, DOI={10.1093/jas/skaa278.189}, abstractNote={Abstract}, journal={JOURNAL OF ANIMAL SCIENCE}, author={Holt, Jonathan P. and Sundstrom, Ylva and Hash, Sara}, year={2020}, month={Nov}, pages={103–103} }