A5085755245- Animal Behavior and Welfare Studies
- Smart Agriculture and AI
- Effects of Environmental Stressors on Livestock
- Food Supply Chain Traceability
- Greenhouse Technology and Climate Control
- Economic and Social Issues
- Soil Mechanics and Vehicle Dynamics
- Advanced Chemical Sensor Technologies
- German Literature and Culture Studies
- Modular Robots and Swarm Intelligence
- Remote Sensing in Agriculture
- Economic and Business Studies
- Plant Disease Management Techniques
- Genetic and phenotypic traits in livestock
- German Economic Analysis & Policies
- Animal Nutrition and Physiology
- European Monetary and Fiscal Policies
- IoT-based Smart Home Systems
- Heat Transfer Mechanisms
- Environmental Science and Technology
- Robotics and Automated Systems
- Human-Animal Interaction Studies
- Agriculture and Farm Safety
- Robotic Mechanisms and Dynamics
- Medical and Health Sciences Research
Natural Resources Institute Finland
2020-2025
Agricultural Research Organization
2015-2025
Hôpital Fernand-Widal
2024
Hôpital Lariboisière
2024
Technion – Israel Institute of Technology
2017
Environmental and Water Resources Engineering
2015
Due to technological developments, wearable sensors for monitoring the behavior of farm animals have become cheaper, a longer lifespan and are more accessible small farms researchers. In addition, advancements in deep machine learning methods provide new opportunities recognition. However, combination electronics algorithms rarely used PLF, their possibilities limitations not well-studied. this study, CNN-based model feeding classification dairy cows was trained, training process analyzed...
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 Monitoring plant growth is crucial for effective crop management, and using color depth (RGBD) cameras to model lettuce has emerged as one of the most convenient non-invasive methods. In recent years, deep learning techniques, particularly neural networks, have become popular estimating fresh weight. However, these models are typically specific particular datasets, lack domain adaptation, often limited by availability open-access datasets. this study, we propose a method based on...
Indoor localization of dairy cows is important for cow behavior recognition and effective farm management. In this paper, we propose a low-cost system low-accuracy based on the reception signals sent by an acceleration measurement using Bluetooth Low Energy protocol. The consists tags receiving stations. tag specifications accuracy were studied experimentally. received signal strength propagation model dependence orientation was in open-space barn environment. Two experiments evaluation...
Technological progress enables individual cow's temperatures to be measured in real time, using a bolus sensor inserted into the rumen (reticulorumen). However, current cooling systems often work at constant schedule based on ambient temperature and not monitoring animal itself. This study hypothesized that tailoring management thermal reaction can mitigate heat stress. We propose dynamic system vivo sensors (boluses). Thus, activated as needed is thus most efficacious. A total of 30...
Strawberry production in open-field conditions requires a lot of human labor, which is increasingly difficult to recruit. A robotic solution could potentially operate the field around clock with minimal supervision. For strawberry farmers, automation harvesting would eliminate personnel risk and provide security for operations long term. robot be capable replacing physical labor horticultural an accurate fast perception system. In this paper, we focus on task detecting garden strawberries...
Purpose The purpose of this paper is to describe a methodology for characterization the robot environment help solve such problem as designing an optimal agricultural specific task. Design/methodology/approach Defining and characterizing task crucial step in optimization task-specific robot. It especially difficult domain because complexity unstructured nature environment. In research, trees are modeled from orchards used working environment, geometrical features investigated method...
Monitoring individual cow feed intake is necessary for calculating the efficiency. The cost and maintenance time research systems make them impractical most of commercial producers. We developed a measurement system with producer convenience low investment as key design criteria. goal this study was to validate its ability rank cows by their conversion efficiency in farms. new consisted three principal parts: (a) hanging weighing system, (b) visual identification (c) an automatic cleaning...
Automatic and real-time pose estimation is important in monitoring animal behavior, health, welfare. In this paper, we utilized for the farrowing process to prevent piglet mortality preserve health welfare of sow. State-of-the-art Deep Learning (DL) methods have lately been used estimation. This paper aims probe generalization ability five common DL networks (ResNet50, ResNet101, MobileNet, EfficientNet, DLCRNet) sow These architectures predict body parts several piglets directly from input...
Field robots are an important tool when improving the efficiency and decreasing climatic impact of food production. Although several commercial field available, advantages, limitations, optimal utilization methods this technology still not well understood due to its novelty. This study aims evaluate performance a robot for seeding weeding tasks. The evaluation was carried out in 2-hectare sugar beet field. robot’s assessed by counting plants weeds using image processing. YOLOv8 model trained...
Software for a real-time digital twin of crop production system was developed supporting farming decisions. couples the APSIM simulation model with data from precision equipment, on-field and remote sensing. A field managed according to practices equipped underground soil temperature moisture sensors local weather station used as test case. The software automatically initialized based on ISOBUS time log sowing. divided into unique zones averaged parameters implemented in simulation. Sensor...