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Found 5 papers, 1 papers with code
LEI2JSON: Schema-based Validation and Conversion of Livestock Event Information
Livestock producers often need help in standardising (i. e., converting and validating) their livestock event data.
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis
This paper aims to present our recent research in utilizing five popular object detection models, looking at the architecture of YOLOv5, investigating the performance of eight backbones with the YOLOv5 model, and the influence of mosaic augmentation in YOLOv5 by experimental results on the available cattle muzzle images.
A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions
For the two main applications of cattle detection and cattle identification, all the ML based papers only solve cattle identification problems.
Leaf Segmentation and Counting with Deep Learning: on Model Certainty, Test-Time Augmentation, Trade-Offs
Plant phenotyping tasks such as leaf segmentation and counting are fundamental to the study of phenotypic traits.
Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves
Hyperspectral (HS) imaging was successfully employed in the 380 nm to 1000 nm wavelength range to investigate the efficacy of detecting age, healthiness and individual nutrient deficiency of grapevine leaves collected from vineyards located in central west NSW, Australia.
