Precision Farming Technologies for Monitoring Livestock and Poultry

A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Livestock Farming Technology".

Deadline for manuscript submissions: 1 April 2025 | Viewed by 17

Special Issue Editors


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Guest Editor
Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, USA
Interests: precision livestock farming; precision poultry; artificial intelligence; computer vision; machine learning; sensors; animal behavior and welfare

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Guest Editor
Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, USA
Interests: precision livestock farming; artificial intelligence; machine vision systems; imaging system; smart food manufacturing; robotics
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Guest Editor
Department of Poultry Science, University of Georgia, Athens, GA, USA
Interests: precision poultry and livestock farming; climate-smart farming; computer vision; machine learning; sensors; big data; animal behavior and welfare; animal environment; sustainable agriculture
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Guest Editor
Department of Animal Science, Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
Interests: precision livestock management; animal housing and environmental control; applied data analysis in agriculture
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Special Issue Information

Dear Colleagues,

The field of precision livestock and poultry farming has rapidly evolved and transformed management practices by integrating state-of-the-art sensing technologies and computer tools to offer innovative farming solutions. Recent advancements in sensors, IoT, computer vision, machine learning, and robotics have revolutionized traditional practices by enabling continuous, objective, and automated monitoring of animal health, behavior, and welfare. These technologies enhance production efficiency, support sustainable farming practices, and improve animal welfare.

We invite you to contribute to this Special Issue on “Precision Farming Technologies for Monitoring Livestock and Poultry” which aims to gather cutting-edge research and comprehensive reviews on applying these technologies in livestock and poultry management. We are pleased to invite researchers from around the world to contribute original research and review papers. Showcasing these advancements and improvements over time provides the transformative impact of precision technologies on the poultry and livestock industry.

Topics of interest include, but are not limited to:

  • Precision poultry management;
  • Precision livestock farming;
  • Sensor utilization;
  • Data management;
  • Robotics applications;
  • Simulations of robotic systems;
  • Smart farming solutions for optimizing resource use;
  • IoT implementations;
  • Artificial intelligence;
  • Computer vision;
  • Machine learning;
  • Precision health monitoring and disease detection;
  • Welfare and behavior monitoring;
  • Nutrient management systems for precision feeding;
  • Precision breeding techniques.

Dr. Ramesh Bahadur Bist
Dr. Dongyi Wang
Dr. Lilong Chai
Dr. Yijie Xiong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AgriEngineering is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • precision livestock farming
  • precision poultry farming
  • machine learning
  • deep learning
  • computer vision
  • robotics
  • wearable devices
  • IoT
  • sensors
  • big data

Published Papers

This special issue is now open for submission.
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