624 research outputs found
Aiming to Improve Dairy Cattle Welfare by Using Precision Technology to Track Lameness, Mastitis, Somatic Cell Count and Body Condition Score
Specific animal-based indicators that may be used to predict animal welfare have been at the basis of techniques for monitoring farm animal welfare, such as those developed by the Welfare Quality project. In addition, the use of technical instruments to accurately and immediately measure farm animal welfare is obvious. Precision livestock farming (PLF) has enhanced production, economic viability, and animal welfare in dairy farms by using technology instruments. Despite the fact that PLF was only recently adopted, the need for technical assistance on farms is getting more and more attention and has resulted in substantial scientific contributions in a wide range of fields within the dairy sector, with a focus on the health and welfare of cows. Among the most important animal-based indicators of dairy cow welfare are lameness, mastitis, somatic cell count and body condition, and this chapter aims to highlight the most recent advances in PLF in this area. Finally, a discussion is presented on the possibility of integrating the information obtained by PLF into a welfare assessment framework
Proceedings of the European Conference on Agricultural Engineering AgEng2021
This proceedings book results from the AgEng2021 Agricultural Engineering Conference under auspices of the European Society of Agricultural Engineers, held in an online format based on the University of Évora,
Portugal, from 4 to 8 July 2021.
This book contains the full papers of a selection of abstracts that were the base for the oral presentations and posters presented at the conference.
Presentations were distributed in eleven thematic areas: Artificial Intelligence, data processing and
management; Automation, robotics and sensor technology; Circular Economy; Education and Rural development; Energy and bioenergy; Integrated and sustainable Farming systems; New application
technologies and mechanisation; Post-harvest technologies; Smart farming / Precision agriculture; Soil, land and water engineering; Sustainable production in Farm buildings
Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems
The implementation of artificial intelligence (AI), together with robotics, sensors, sensor networks, Internet of Things (IoT), and machine/deep learning modeling, has reached the forefront of research activities, moving towards the goal of increasing the efficiency in a multitude of applications and purposes related to environmental sciences. The development and deployment of AI tools requires specific considerations, approaches, and methodologies for their effective and accurate applications. This Special Issue focused on the applications of AI to environmental systems related to hazard assessment in urban, agriculture, and forestry areas
XIII International Congress in Animal Hygiene, June 17-21, 2007, Tartu, Estonia "Animal health, animal welfare and biosecurity" : proceedings. Volume 1
KonverentsikogumikOn behalf of both the Organising Committee and the Scientific Committee, I am pleased to
welcome you in Tartu, Estonia, to participate at the XIII International Congress of the International
Society for Animal Hygiene (ISAH).
The ISAH (www.isah-soc.org) was founded in 1970 and has today members from 48 countries
throughout the world. ISAH can be considered as a group of scientists contributing to efficient,
sustainable animal farming with healthy animals, providing wholesome food in a sound
environment.
Veterinarians and non-veterinary academic scientists (animal science, agricultural economics,
engineers, microbiologists, public health professionals, epidemiologists etc., etc) and respective
professionals in animal husbandry, who work and/or do research and education in the field of
animal hygiene, can apply for a membership of ISAH, and are most welcome to attend ISAH
congresses.
The first ISAH congress was held in Budapest in 1973. The last ISAH main congress took
place in Warsaw, Poland in 2005 and the last in-between symposium in Saint-Malo, France in
2004.
Starting from Warsaw congress in 2005, the ISAH, considering the need for a more flexible and
frequent exchange of scientific and practical knowledge, organizes its congresses every second
year.
The present, XIII ISAH congress in Tartu, Estonia, in June 17–21, 2007 is organised under the
device "Animal health, animal welfare and biosecurity”.
The scientific programme, trying to follow the scope of the ISAH and receive the feedback from
modern animal husbandry and food production, concentrates with more profoundness on the
following subjects: interaction between the environment and health and welfare of individual animal
and herds; managing animal health in large dairy units; ensuring animal welfare during
transportation and slaughter; economical implications considering animals’ health; possibilities of
precision livestock farming in maintaining good health and welfare of animals; measures for
prevention the development and spread of diseases and pathogens in animals including those
posing risk to human health (zoonoses); food safety relevant infections and contaminations such
as residues in food derived from animals; influence of the animal production on the environment
and public health.
The Proceedings from the XIII ISAH Congress are herewith presented. The papers on lectures
from invited speakers, oral and poster presentations from 11 parallel sessions are included in this
excellent compilation. In general, the printed contribution to the ISAH-2007 congress illustrates
clearly the broad scientific field of the ISAH and related to it activities.
I hereby would like to express my most sincere gratitude in the address of ISAH-2007
organising and scientific committees. Special thanks go to Frens Conference Services for their
excellent organizational and technical contribution and to AS Triip for their outstanding printing job
of these proceedings. We also appreciate different companies and organisations for their
considerable financial support which gave us the opportunity to keep the registration fees
affordable.
Finally, we thank all participants, contributors, chairpersons, organisational and technical
assistants for your considerable efforts – you made the ISAH-2007 in Tartu real success.
We wish you all interesting and pleasant congress and enjoyable stay in Tartu.
A. Aland
Editor
Chairman of the ISAH-2007 Organising Committe
TASTING WHAT YOU SEE: USING THE IMPLICIT RELATIONAL ASSESSMENT PROCEDURE TO MEASURE THE EFFECTS OF THE WORD REPETITION TECHNIQUE
The current study tested the effects of a cognitive defusion intervention on implicit attitudes toward milk and lemon as measured by the Implicit Relational Assessment Procedure (IRAP). One-hundred and eleven participants were randomly assigned to one of four conditions: control math, control defusion, half defusion, or full defusion. Participants filled out a series of self-report measures at the beginning of the study on psychological functioning, as well as attitudes toward milk and lemon. Participants then completed a task specific to their condition, with control math participants completing a simple math task while defusion conditions completed a defusion intervention – word repetition technique (WRT) – for certain words. The control defusion condition completed the WRT for the words “car” and “rabbit,” the half defusion condition completed the WRT for the word “milk,” and the full defusion condition completed the WRT for the words “milk” and “lemon.” After completing the condition specific tasks, all participants completed a milk/lemon IRAP that included the words “milk” and “lemon” and pictures of milk and lemon. All participants finished the study by completing a final set of self-report measures. Results of the study indicated that IRAP performance was not significantly different between conditions following various levels of a defusion intervention. However, results showed that the pattern of IRAP response latencies did significantly vary between conditions, but this effect was driven by a significant difference on a single response latency between two conditions suggesting this finding is an artifact. Thus, the current study cannot conclude that a defusion intervention can significantly affect implicit attitudes towards common objects, and any future research should consider applying a defusion intervention to clinically relevant stimuli to further assess for defusion effects in the IRAP
Measuring Behavior 2018 Conference Proceedings
These proceedings contain the papers presented at Measuring Behavior 2018, the 11th International Conference on Methods and Techniques in Behavioral Research. The conference was organised by Manchester Metropolitan University, in collaboration with Noldus Information Technology. The conference was held during June 5th – 8th, 2018 in Manchester, UK. Building on the format that has emerged from previous meetings, we hosted a fascinating program about a wide variety of methodological aspects of the behavioral sciences. We had scientific presentations scheduled into seven general oral sessions and fifteen symposia, which covered a topical spread from rodent to human behavior. We had fourteen demonstrations, in which academics and companies demonstrated their latest prototypes. The scientific program also contained three workshops, one tutorial and a number of scientific discussion sessions. We also had scientific tours of our facilities at Manchester Metropolitan Univeristy, and the nearby British Cycling Velodrome. We hope this proceedings caters for many of your interests and we look forward to seeing and hearing more of your contributions
Determination of Time Dependent Stress Distribution on Potato Tubers at Mechanical Collision
This study focuses on determining internal stress progression and the realistic representation of time dependent deformation behaviour of potato tubers under a sample mechanical collision case. A reverse engineering approach, physical material tests and finite element method (FEM)-based explicit dynamics simulations were utilised to investigate the collision based deformation characteristics of the potato tubers. Useful numerical data and deformation visuals were obtained from the simulation results. The numerical results are presented in a format that can be used for the determination of bruise susceptibility magnitude on solid-like agricultural products. The modulus of elasticity was calculated from experimental data as 3.12 [MPa] and simulation results showed that the maximum equivalent stress was 1.40 [MPa] and 3.13 [MPa] on the impacting and impacted tubers respectively. These stress values indicate that bruising is likely on the tubers. This study contributes to further research on the usage of numerical-methods-based nonlinear explicit dynamics simulation techniques in complicated deformation and bruising investigations and industrial applications related to solid-like agricultural products
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