Yaowu Wang

• Doctor
• Wageningen University & Research

This study aims to explore body weight estimation for cattle in both standing and lying postures, using 3D data. We apply a Unmanned Aerial Vehicle-based (UAV-based) LiDAR system to collect data during routine resting periods between feedings in the natural husbandry conditions of a commercial farm, which ensures minimal interruption to the animals...

UAVs equipped with various sensors offer a promising approach for enhancing orchard management efficiency. Up-close sensing enables precise crop localization and mapping, providing valuable a priori information for informed decision-making. Current research on localization and mapping methods can be broadly classified into SfM, traditional feature-...

Effective segmentation of individual animals is crucial for monitoring cattle growth in precision livestock farming(PLF) when employing computer vision (CV) on 2D images or videos. However, similar research in 3D scenes has been an area with limited prior exploration. This study applied three-dimensional (3D) CV approaches in conjunction with a UAV...

Accurate body measurements are crucial for effective management of cattle growth in precision livestock farming. This study introduces a novel noncontact approach that leverages point clouds acquired by unmanned aerial vehicle (UAV) based LiDAR to obtain body measurements of cattle within their natural husbandry conditions. The experiment encompass...

Simple Summary In the process of calf rearing, it is inevitable to encounter issues of illness and death among calves. Often, due to the inability to detect sicknesses such as diarrhoea in a timely fashion, these sicknesses lead to the calves’ demise. This research starts from the practical application needs, and proposes the development of a monit...

Within precision livestock farming, three-dimensional computer vision can improve growth monitoring in cattle management. To investigate the implementation of three-dimensional computer vision in cattle growth management, this systematic review, adhering to the PRISMA 2020 statement guideline, collected 47 eligible studies from the Web of Science d...

Individual identification plays an important part in disease prevention and control, traceability of meat products, and improvement of agricultural false insurance claims. Automatic and accurate detection of cattle face is prior to individual identification and facial expression recognition based on image analysis technology. This paper evaluated t...