Advances in precision pig farming technologies

Code: 9781835452721
Publication Date: 28/07/2026
Extent: 400 pages
Series No: 184

Edited by: Professor Lisa Collins, University of Surrey, UK

Description

Farmers around the world are increasingly under pressure to produce enough food to feed a rapidly growing population. As demand for certain food products continues to rise, such as pork, farmers are tasked with the need to increase the size of their herds, whilst also ensuring that the health and welfare of their animals isn’t compromised in doing so.

Advances in precision pig farming technologies provides a comprehensive overview of the recent applications of precision livestock farming technologies in pig production, focussing on the deployment of monitoring technologies and data processing techniques to better manage housing, nutrition, health and welfare. The book also reviews recent advances in the use of automated and acoustic technologies for disease detection and diagnosis in pigs.

This book builds on a successful earlier volume published by Burleigh Dodds Science: Advances in precision livestock farming (2022).

Key Features

  • Reviews how precision livestock farming (PLF) technologies can be utilised to improve the efficiency and sustainability of pig production
  • Highlights the remarkable ability of PLF technologies to monitor and measure physiological and behavioural traits of pigs
  • Explores the range of technologies available to monitor pigs, from biosensors and wearable sensors, to the use of acoustic and machine vision technologies

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Ordering Information

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£155.00
Table of Contents

Part 1 Technologies and data analysis

  • 1.The use of biosensors for monitoring pigs: Maribel Gómez-Gómez, Valencia Polytechnic University, Spain;
  • 2.The use of wearable/implantable sensors for monitoring pigs: Pol Llonch Obiols, Autonomous University of Barcelona, Spain;
  • 3.The use of acoustic technologies for monitoring pig responses/behaviour: Sandra Düpjan, Research Institute for the Biology of Farm Animals (FBN), Germany;
  • 4.The use of machine vision technologies for monitoring pigs: Kevin Wells, University of Surrey, UK;
  • 5.Developments in data collection and integration technologies in precision pig farming: Edison Magalhaes, Iowa State University, USA;
  • 6.Developments in data analysis techniques in precision pig farming: Guilherme J. M. Rosa, University of Wisconsin-Madison, USA;

Part 2 Monitoring health and reproduction

  • 7.Developments in automated technologies for disease detection and diagnosis in pigs: Beatriz Martínez-López, University of California-Davis, USA;
  • 8.Developments in acoustic technologies for disease detection and diagnosis in pigs: Shunsuke Ishimitsu, Hiroshima City University, Japan;
  • 9.Developments in automated technologies for early pregnancy diagnosis in pigs: Jianfeng Zhou, University of Missouri, USA;
  • 10.Technologies for monitoring farrowing: Elaine van Erp-dan der Kooij, HAS University of Applied Sciences, The Netherlands;

Part 3 Monitoring feeding and growth

  • 11.Developments in automated feeding technologies for pigs: Aline Remus, Agriculture and Agri-Food Canada, Canada;
  • 12.Developments in technologies for monitoring/measuring feeding behaviour of pigs: Frank Dunshea, The University of Melbourne, Australia;
  • 13.Ultrasonography and other techniques to measure and track body composition in pigs: Maria Font i Furnols, IRTA, Spain;
  • 14.Post-slaughter technologies for pig carcass quality assessment: Ciara K. McDonnell, CSIRO, Australia;


About the Editor(s)

Professor Lisa Collins is Pro Vice Chancellor of Research and Innovation at the University of Surrey, UK. Prior to this role, she held a variety of leadership roles at the University of Leeds, UK, including Academic Director of the National Pig Centre. Professor Collins is recognised for her work in animal health and welfare as well as the development and application of smarter agricultural systems through multi-disciplinary approaches including technology development, systems modelling and data analytics..