A5040765048- Effects of Environmental Stressors on Livestock
- Animal Behavior and Welfare Studies
- Genetic and phenotypic traits in livestock
- Food Supply Chain Traceability
- Milk Quality and Mastitis in Dairy Cows
- Ruminant Nutrition and Digestive Physiology
- Agriculture Sustainability and Environmental Impact
- Animal Nutrition and Physiology
- Reproductive Physiology in Livestock
- Agriculture and Farm Safety
- Soil Mechanics and Vehicle Dynamics
- Smart Agriculture and AI
- Animal Disease Management and Epidemiology
- Advanced Manufacturing and Logistics Optimization
- Meat and Animal Product Quality
- Aquaculture Nutrition and Growth
- Marine Bivalve and Aquaculture Studies
- Water Quality Monitoring Technologies
- Human-Animal Interaction Studies
- Identification and Quantification in Food
- Agricultural Engineering and Mechanization
- Agroforestry and silvopastoral systems
- Simulation Techniques and Applications
- Agricultural Systems and Practices
- Wireless Body Area Networks
Agricultural Research Organization
2015-2024
Ben-Gurion University of the Negev
1997-2022
National Agricultural Research Organisation
2021
Institute of Agricultural Engineering
2000-2015
KU Leuven
2015
Ministry of Agriculture and Rural Development
2004
Wageningen University & Research
2001-2003
Graduate School Experimental Plant Sciences
2000
Abstract Remote monitoring, modern data collection through sensors, rapid transfer, and vast storage the Internet of Things (IoT) have advanced precision livestock farming (PLF) in last 20 yr. PLF is relevant to many fields production, including aerial- satellite-based measurement pasture’s forage quantity quality; body weight composition physiological assessments; on-animal devices monitor location, activity, behaviors grazing foraging environments; early detection lameness other diseases;...
Biometrics methods, which currently identify humans, can potentially dairy cows. Given that animal movements cannot be easily controlled, identification accuracy and system robustness are challenging when deploying an biometrics recognition on a real farm. Our proposed method performs multiple-cow face detection classification from videos by adjusting recent state-of-the-art deep-learning methods. As part of this study, was designed installed at four meters above feeding zone the Volcani...
The objective of this study was to evaluate if a multi-sensor system (milk, activity, body posture) better classifier for lameness than the single-sensor-based detection models. Between September 2013 and August 2014, 3629 cow observations were collected on commercial dairy farm in Belgium. Human locomotion scoring used as reference model development evaluation. Cow behaviour performance measured with existing sensors that already present at farm. A prototype three-dimensional-based video...
Low-cost feeding-behavior sensors will soon be available for commercial use in dairy farms. The aim of this study was to develop a feed intake model the individual cow that includes feeding behavior. In research farm, cows' voluntary and behavior were monitored at every meal. A developed based on data exist modern farms: 'BW,' 'milk yield' 'days milking' parameters applied study. At level, eating velocity seemed correlated with (R 2=0.93 0.94). coefficient varied among individuals, ranging...
We address the hypothesis that individual cow feed intake can be measured in commercial farms through use of a photogrammetry method. Feed and efficiency have significant economic value for farmer. A common method measuring mass research is weighing system, which excessively expensive farms. However, estimated by its volume, photogrammetry. Photogrammetry applies cameras along feed-lane, photographing before after visits calculating volume. In this study, precision estimating volume was...
Abstract The main objective of this study was to identify the influences different climatic conditions and cow-related factors on respiration rate (RR) lactating dairy cows. Measurements were performed 84 Holstein Friesian cows (first eighth lactation) in Brandenburg, Germany. RR measured hourly or twice a day with up three randomly chosen measurement days per week between 0700 h 1500 (GMT + 0100 h) by counting right thoraco-abdominal movements Simultaneously measurements, cow body postures...
Manually counting hens in battery cages on large commercial poultry farms is a challenging task: time-consuming and often inaccurate. Therefore, the aim of this study was to develop machine vision system that automatically counts number cages. Automatically can help regulatory agency or inspecting officer estimate living birds cage and, thus animal density, ensure they conform government regulations quality certification requirements. The test hen house 87 m long, containing 37 stacked...
Data on individual feed intake of dairy cows, an important variable for farm management, are currently unavailable in commercial dairies. A real-time machine vision system including models that able to adapt multiple types was developed predict cows. Using a Red-Green-Blue-Depth (RGBD) camera, images piles two different (lactating cows' and heifers' feed) were acquired research farm, range weights under varied configurations illuminations. Several intake: Transfer Learning (TL) based...