Advances in precision livestock farming

Half Title Page
Series Page
Title Page
Copyright Page
Contents
Series list
Introduction
Part 1 Data collection and analysis
Part 2 Applications
Acknowledgement
Part 1: Data collection and analysis
Chapter 1 Developments in on-animal sensors for monitoring livestock
1 Introduction
2 Components of an on-animal sensor system
3 Form factor and deployment mode
4 Sensors
5 Energy management for on-animal sensors
6 Communication and data transfer
7 Data management, reduction and analysis
8 Applications of on-animal sensors
9 Future trends
10 References
Chapter 2 Developments in thermal imaging techniques to assess livestock health
1 Introduction
2 The use of thermal imaging techniques to monitor animal health
3 Accounting for ambient conditions
4 The use of infrared thermography for animal health monitoring
5 The development of infrared thermography technologies
6 Improving diagnostic accuracy
7 Case study: using infrared thermography to identify bovine respiratory disease
8 Conclusions
9 Future trends in research
10 Where to look for further information
11 References
Chapter 3 Developments in acoustic techniques to assess livestock health
1 Introduction
2 Animal vocalizations and sounds produced
3 Sound recording, features and digital signal processing
4 Sound applications for monitoring of pigs
5 Sound applications for monitoring poultry
6 Sound applications for monitoring cattle
7 From science to practical applications
8 Status of the current sound applications for pigs, poultry and cattle
9 Conclusion
10 Where to look for further information
11 References
Chapter 4 Machine vision techniques to monitor behaviour and health in precision livestock farming
1 Introduction
2 Devices for data acquisition in computer vision–based systems
3 Animal species and tasks analysed in computer vision systems for precision livestock farming
4 Key elements of computer vision–based systems: initialisation
5 Key elements of computer vision–based systems: tracking – image segmentation
6 Key elements of computer vision–based systems: tracking – video object segmentation
7 Key elements of computer vision–based systems: feature extraction
8 Key elements of computer vision–based systems: pose estimation and behaviour recognition
9 Case studies of precision livestock farming applications based on traditional computer vision techniques
10 Advances in computer vision techniques: deep learning
11 Case studies of precision livestock farming applications based on deep learning techniques
12 Conclusion
13 References
Chapter 5 Developments in activity and location technologies for monitoring cattle movement and behaviour
1 Introduction
2 Activity and location technologies
3 Adoption of activity and location technologies
4 Integration of technology into the farm system and industry
5 Future trends in research and development
6 Conclusions
7 References
Chapter 6 Developments in data analysis for decision-making in precision livestock farming systems
1 Introduction
2 Data science and data mining
3 Machine learning
4 Conclusion and future trends
5 Where to look for further information
6 Acknowledgements
7 References
Part 2: Applications
Chapter 7 Monitoring and control of livestock housing conditions using precision livestock farming techniques
1 Introduction
2 Key variables affecting livestock housing conditions
3 Automated monitoring of animals and their environment
4 The use of precision livestock farming technologies to monitor dairy cattle housing
5 The use of precision livestock farming technologies to monitor poultry housing
6 The use of precision livestock farming technologies to monitor pig housing
7 Conclusion and future trends
8 References
Chapter 8 Developments in individual-animal feed efficiency monitoring systems for livestock
1 Introduction
2 Materials and methods
3 Wearable sensors and electronic scales
4 Camera sensors
5 Image analysis algorithms
6 Evaluating feed-intake measurement systems
7 Future trends and conclusion
8 Acknowledgements
9 Declaration of interest and ethics statement
10 References
Chapter 9 Developments in automated systems for monitoring livestock health: mastitis
1 Introduction
2 Components of mastitis sensor systems
3 Commercially available sensors
4 Future developments: biosensors
5 Future developments: specific mastitis situations and improving algoritms
6 Conclusion
7 Where to look for further information
8 References
Chapter 10 Developments in automated systems for monitoring livestock health: lameness
1 Introduction
2 Lameness and its impacts
3 Lameness and behaviour
4 Non-automated detection of lameness
5 Automated detection of lameness using non-wearable technology
6 Automated detection of lameness using animal-mounted accelerometers
7 Automated detection of lameness using spatial positioning systems
8 Conclusion and future trends
9 Where to look for further information
10 References
Chapter 11 Developments in automated monitoring of livestock fertility/pregnancy
1 Introduction
2 The oestrous cycle in dairy cows
3 Oestrus detection, pregnancy diagnosis and reproductive performance
4 Methods for oestrus detection in cows
5 Conclusion and future trends in research
6 Where to look for further information
7 References
Chapter 12 Advances in automatic milking systems
1 Introduction
2 Cow breed
3 Milk yield and quality
4 Feeding concentrate supplementation in automatic milking systems
5 Grazing and grassland management for automatic milking systems
6 Benchmarking and optimising performance using key performance indicators
7 Cow behaviour
8 Training of cows and transition to automatic milking
9 Health and welfare management of cows
10 People and the automatic milking system
11 Impact on labour requirements
12 Use of resources
13 Economics
14 A place for mobile automatic milking systems?
15 Current and future focus of automatic milking research
16 Conclusion
17 Where to look for further information
18 References
Chapter 13 Developments in monitoring grazing behaviour and automated grazing management in extensive systems
1 Introduction
2 The animal/pasture interface
3 Active precision livestock farming management of pasture and animal
4 Alternative monitoring technologies
5 Case study: virtual fencing for sensitive environments
6 Conclusion
7 Future trends in research
8 Where to look for further information
9 References
Index