work Deep learning prediction of dairy cattle body weight Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms Evaluating metabolic and genomic data for predicting rice grain traits Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice. Genomic prediction for metabolites in rice Role of genomics on regulating rice grain metabolic variability under warmer nights, A statistical and image-based deep learning approach Time series analysis in sesame. Leveraging genomics and temporal high-throughput phenotyping to enhance association mapping and yield prediction in sesame Rice phenotypic plasticity analysis Rice phenotypic plasticity analysis using a random regression model Video-based cow body condition score estimation Estimate dairy cow body condition score via computer vision systems Automated depth image acquisition Automated acquisition of top-view dairy cow depth image data using an RGB-D sensor camera. Multi-environment genomic analysis in sesame Multi-environment analysis enhances genomic prediction accuracy of agronomic traits in sesame fun