Precision Livestock (PL) journal, a distinguished publication within the Sciences Force Publisher portfolio, is at the forefront of scholarly discourse in precision agriculture applied to livestock management. Committed to open access and the democratization of knowledge, PL journal serves as an intellectual hub for academics, researchers, and practitioners. Our mission is to advance innovative research initiatives and applications in precision technologies, contributing significantly to enhancing livestock farming, animal welfare, and overall sustainability. The journal covers a broad scope, including Precision Livestock Farming (PLF), IoT in Livestock Monitoring, Data Analytics for Livestock Health, and more. With a focus on original research and cutting-edge software solutions, PL journal is a pivotal resource in shaping the future of precision agriculture in livestock management.

Editor(s)-in-Chief

Mohamed Abouhawwash

Researcher profiles: |Scopus|ORCID|Scholar|

Affiliation: Department of Computational Mathematics Science and Engineering, College of Engineering, Michigan State University, East Lansing, MI, USA.

Email: abouhaww@msu.edu


Asiye Yilmaz Adkinson

Researcher profiles: |Scopus|ORCID|

Affiliation: Department of Animal Science, Erciyes University, Kayseri, Turkey.

Email: ayadkinson@erciyes.edu.tr

 

 

 

Full Editorial Board

Vol. 1 (2024): Precision Livestock

Published: 01-01-2024

Hybrid Deep Learning Approach for Milk Quality Prediction

Ahmed Tolba, Nihal N. Mostafa, Ali Wagdy Mohamed, Karam M. Sallam (Author)

1-13

DOI: https://doi.org/10.61356/j.pl.2024.1199
DOI: https://doi.org/10.61356/j.pl.2024.1206
DOI: https://doi.org/10.61356/j.pl.2024.1207
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Precision Livestock (PL) journal, a distinguished publication proudly affiliated with Sciences Force Publisher, is at the forefront of advancing precision agriculture in livestock management. Launched to address the evolving landscape of livestock farming, PL journal is committed to disseminating high-quality scientific papers that contribute to the sustainable and efficient management of livestock.

Aims and Scope: PL journal serves as a pivotal resource for the latest advancements in precision agriculture applied to livestock. We invite submissions that align with our Aims and Scope, covering a wide range of topics such as precision livestock farming technologies, data-driven decision-making, animal health monitoring, and sustainable farming practices.

Publication Frequency: Published once time per year, PL journal provides a timely platform for researchers and practitioners to share groundbreaking advancements and insights in precision livestock farming. Our periodic releases ensure that readers are kept informed of the latest developments in this rapidly evolving field.

Open Access: Committed to openness and accessibility, PL journal operates as an open-access journal. Our policy allows readers the freedom to access, download, copy, distribute, print, search, or link to the full texts of articles without prior permission, fostering the global dissemination of knowledge in precision livestock farming.

Acceptance Rate and Timelines: In its founding years, PL journal maintains rigorous standards of quality and efficiency. While historical acceptance rates are not yet established, we are dedicated to maintaining a selective acceptance rate, ensuring the publication of only high-quality research. For the year 2024, our aim is to make an initial editorial decision within 7 days from manuscript submission, achieve a median time of 16 weeks from submission to acceptance, and an additional 10 days from acceptance to online publication. These ambitious timelines aim to facilitate swift sharing of discoveries with the global scientific community.

Archival Recognition: Articles published in PL journal will be archived and recognized by esteemed scientific archives, emphasizing the journal's contribution to the global scientific discourse in precision agriculture for livestock.

Publisher:

  • Publisher's Name: Sciences Force
  • Publisher's Address: Five Greentree Centre, 525 Route 73 North, STE 104, Marlton, New Jersey 08053.
  • Tel: +1 (509) 768-2249
  • Email: pl@scienceforce.com