22 citations · 34 across the 6 of their papers we have counts for
6 papers
Behavior-Specific Filtering for Enhanced Pig Behavior Classification in Precision Livestock Farming
Zhen Zhang, Dong Sam Ha, Gota Morota +1
This study proposes a behavior-specific filtering method to improve behavior classification accuracy in Precision Livestock Farming. While traditional filtering methods, such as wa…
Predicting Dairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal Analysis
Mingsi Liao, Gota Morota, Ye Bi +1
Monitoring calf body weight (BW) before weaning is essential for assessing growth, feed efficiency, health, and weaning readiness. However, labor, time, and facility constraints li…
Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision
Jin Wang, Yu Hu, Lirong Xiang +5
Computer vision (CV), a non-intrusive and cost-effective technology, has furthered the development of precision livestock farming by enabling optimized decision-making through time…
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
Ye Bi, Leticia M. Campos, Jin Wang +3
Monitoring cow body weight is crucial to support farm management decisions due to its direct relationship with the growth, nutritional status, and health of dairy cows. Cow body we…
Statistical methods for the quantitative genetic analysis of high-throughput phenotyping data
Gota Morota, Diego Jarquin, Malachy T. Campbell +1
The advent of plant phenomics, coupled with the wealth of genotypic data generated by next-generation sequencing technologies, provides exciting new resources for investigations in…
The causal meaning of genomic predictors and how it affects the construction and comparison of genome-enabled selection models
Bruno Dourado Valente, Gota Morota, Guilherme Jordao Magalhaes Rosa +2
The additive genetic effect is arguably the most important quantity inferred in animal and plant breeding analyses. The term effect indicates that it represents causal information,…