Literature DB >> 34029788

Lambs' live weight estimation using 3D images.

E Samperio1, I Lidón2, R Rebollar2, M Castejón-Limas3, C Álvarez-Aparicio3.   

Abstract

The sheep sector has not suffered the technification that other livestock sectors have. The lack of technological knowledge of the farmers and the economic limitations of the sector have made this technification difficult. One of the most widely used technologies is Precision Livestock Farming (PLF). PLF has already been used in other livestock sectors to improve farming efficiency. In the light of the problem that sheep farmers have in weighing lambs and their low precision, this paper proposes a system for estimating weight by means of 3D image capture. Thus, zenithal images of 272 lambs have been recorded. They have been processed using the capture of the upper area and the average depth of the pixels of the lamb. This estimates the weight of the animal with an error of less than 6%. This technology has a low economic cost and is easy to operate, helping farmers to be more willing to use it. This method manages to reduce the duration of the process, the stress of the animal and to improve the overall accuracy in weight estimation. Thus, it will help to have a greater control of the weight of the animal and to improve the economic profitability that the farmer obtains for the lambs.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D sensor; Animal production; Animal welfare; Machine learning; Sheep livestock

Year:  2021        PMID: 34029788     DOI: 10.1016/j.animal.2021.100212

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  4 in total

Review 1.  ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.

Authors:  Marc Jacobs; Aline Remus; Charlotte Gaillard; Hector M Menendez; Luis O Tedeschi; Suresh Neethirajan; Jennifer L Ellis
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

Review 2.  ASAS-NANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and challenges of confined and extensive precision livestock production.

Authors:  Hector M Menendez; Jameson R Brennan; Charlotte Gaillard; Krista Ehlert; Jaelyn Quintana; Suresh Neethirajan; Aline Remus; Marc Jacobs; Izabelle A M A Teixeira; Benjamin L Turner; Luis O Tedeschi
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

3.  Vision-Based Module for Herding with a Sheepdog Robot.

Authors:  Virginia Riego Del Castillo; Lidia Sánchez-González; Adrián Campazas-Vega; Nicola Strisciuglio
Journal:  Sensors (Basel)       Date:  2022-07-16       Impact factor: 3.847

4.  Towards the Estimation of Body Weight in Sheep Using Metaheuristic Algorithms from Biometric Parameters in Microsystems.

Authors:  Enrique Camacho-Pérez; Alfonso Juventino Chay-Canul; Juan Manuel Garcia-Guendulain; Omar Rodríguez-Abreo
Journal:  Micromachines (Basel)       Date:  2022-08-16       Impact factor: 3.523

  4 in total

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