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D-Index & Metrics

Animal Science and Veterinary

D-Index
36
Citations
4484
World Ranking
1628
National Ranking
14

Overview

Ilan Halachmi is affiliated with the Agricultural Research Organization in Israel. Their research primarily spans the fields of Agricultural and Biological Sciences as well as Veterinary studies, conducting work that addresses a range of topics within animal science and related disciplines.

Their publications cover diverse areas including Animal Behavior and Welfare Studies, Effects of Environmental Stressors on Livestock, Food Supply Chain Traceability, Smart Agriculture and AI, Animal Nutrition and Physiology, Identification and Quantification in Food, and Genetic and Phenotypic Traits in Livestock.

Frequent coauthors in their research collaborations include Yael Edan, A. Godo, J. Lepar, H. Levit, and Daniel Brügger, indicating a network of ongoing scholarly partnerships.

Their recent papers showcase applications of computer vision and machine learning to animal science and agriculture, often combining technology and biology. Notable recent publications include:

  • "Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms" (2020, Computers and Electronics in Agriculture)
  • "Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming" (2021, Journal of Animal Science)
  • "Biometric identification of sheep via a machine-vision system" (2022, Computers and Electronics in Agriculture)
  • "A machine vision system to detect and count laying hens in battery cages" (2020, animal)
  • "Biometric identification of dairy cows via real-time facial recognition" (2024, animal)

Their frequent publication venues include:

  • animal
  • Computers and Electronics in Agriculture
  • Journal of Animal Science
  • Journal of Dairy Research
  • ACS Catalysis

The subfields of study that Ilan Halachmi works in are:

  • Animal Science and Zoology
  • Small Animals
  • Plant Science
  • Food Science
  • Computer Vision and Pattern Recognition

Best Publications

  • Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production

    Ilan Halachmi;Marcella Guarino;Jeffrey Bewley;Matti Pastell

  • Comparison of a three-dimensional and two-dimensional camera system for automated measurement of back posture in dairy cows

    S. Viazzi;C. Bahr;T. Van Hertem;A. Schlageter-Tello

  • Development of automatic body condition scoring using a low-cost 3-dimensional Kinect camera

    Roii Spoliansky;Yael Edan;Yisrael Parmet;Ilan Halachmi;Ilan Halachmi

  • Automatic lameness detection based on consecutive 3D-video recordings

    T. van Hertem;T. van Hertem;S. Viazzi;M. Steensels;M. Steensels;E. Maltz

  • Analysis of individual classification of lameness using automatic measurement of back posture in dairy cattle

    S. Viazzi;C. Bahr;A. Schlageter-Tello;T. Van Hertem

  • Cow Body Shape and Automation of Condition Scoring

    I. Halachmi;P. Polak;D.J. Roberts;M. Klopcic

  • Lameness detection based on multivariate continuous sensing of milk yield, rumination, and neck activity.

    T. Van Hertem;E. Maltz;A. Antler;C.E.B. Romanini

  • Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms

    Ran Bezen;Yael Edan;Ilan Halachmi

  • Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming.

    Luis O Tedeschi;Paul L Greenwood;Paul L Greenwood;Ilan Halachmi

  • Automatic assessment of dairy cattle body condition score using thermal imaging

    I. Halachmi;M. Klopčič;P. Polak;D.J. Roberts

  • Effect of feeding cows in early lactation with diets differing in roughage-neutral detergent fiber content on intake behavior, rumination, and milk production

    G. Adin;R. Solomon;M. Nikbachat;A. Zenou

  • Manual and automatic locomotion scoring systems in dairy cows: A review

    Andres Schlageter-Tello;Eddie A. M. Bokkers;Peter W.G. Groot Koerkamp;Tom Van Hertem

  • Comparison of two forage sorghum varieties with corn and the effect of feeding their silages on eating behavior and lactation performance of dairy cows

    Joshua Miron;Ephraim Zuckerman;Gabriel Adin;Ran Solomon

  • Development of an automatic cow body condition scoring using body shape signature and Fourier descriptors

    A. Bercovich;Y. Edan;V. Alchanatis;U. Moallem

  • Review: Milking robot utilization, a successful precision livestock farming evolution.

    A. J. John;C. E. F. Clark;M. J. Freeman;K. L. Kerrisk

  • Editorial: Precision livestock farming: a ‘per animal’ approach using advanced monitoring technologies

    I. Halachmi;M. Guarino

  • A real-time control system for individual dairy cow food intake

    I. Halachmi;Y. Edan;E. Maltz;U.M. Peiper

  • Lameness detection in dairy cattle: single predictor v. multivariate analysis of image-based posture processing and behaviour and performance sensing.

    T. Van Hertem;C. Bahr;A. Schlageter Tello;S. Viazzi

  • Spectroscopic fluid analyzer

    Zeev Schmilovitch;Gil Katz;Ephraim Maltz;Martin I. Kutscher

  • Feeding behavior improves prediction of dairy cow voluntary feed intake but cannot serve as the sole indicator.

    I. Halachmi;Y. Ben Meir;J. Miron;E. Maltz

  • Implementation of an automatic 3D vision monitor for dairy cow locomotion in a commercial farm

    Tom Van Hertem;Andrés Schlageter Tello;Stefano Viazzi;Machteld Steensels

  • Lying patterns of high producing healthy dairy cows after calving in commercial herds as affected by age, environmental conditions and production

    Machteld Steensels;Machteld Steensels;Claudia Bahr;Daniel Berckmans;Ilan Halachmi

Frequent Co-Authors

Ephraim Maltz
Ephraim Maltz Agricultural Research Organization
Claudia Bahr
Claudia Bahr KU Leuven
J. Miron
J. Miron Agricultural Research Organization
U. Moallem
U. Moallem Agricultural Research Organization
Yael Edan
Yael Edan Ben-Gurion University of the Negev
Eddie A.M. Bokkers
Eddie A.M. Bokkers Wageningen University & Research
Arieh Brosh
Arieh Brosh Agricultural Research Organization
Jeffrey M. Bewley
Jeffrey M. Bewley University of Kentucky
Luis O. Tedeschi
Luis O. Tedeschi Texas A&M University
Wolfgang Heuwieser
Wolfgang Heuwieser Freie Universität Berlin

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