Digital Agritechnology: Robotics and Systems for Agriculture and Livestock Production

Digital Agritechnology: Robotics and Systems for Agriculture and Livestock Production describes how systems acquire and use data in livestock production and agricultural systems, and how researchers can extract and aggregate efficiencies. The origins of digital agritechnology are decades old, with robotic milkers available for over 20 years and GPS-based tractor controls existing for nearly 30. However, only a few capabilities of these sensing and control systems are used. This book addresses the need to educate agriculturists on the full usage scale of these arable and livestock systems.

Author: Toby Mottram
Publisher: Academic Press
Published: 08/30/2022
Pages: 288
Binding Type: Paperback
Weight: 1.10lbs
Size: 9.25h x 7.50w x 0.60d
ISBN: 9780128176344

About the Author
Mottram, Toby: - Toby Mottram is the founder of the eCow, Milkalyser and VirtualVet companies and an authority in the UK agricultural engineering sector. He held the inaugural position of Douglas Bomford Trust Chair of Farm Mechanisation at the Royal Agricultural University, Cirencester UK from 2012, where he developed a taught course in agritechnology for farm students. He began as a working herdsman and retrained as an engineer. During his career at Silsoe Research UK he co- invented robotic milking, cow breath sampling, in-line milk analysis and the rumen telemetry bolus. After the Institute closed he focused on the pH telemetry bolus producing a commercially viable product which has sold worldwide since 2011. The eBolus provides continuous and accurate data from within a cow's rumen to aid dairy cow management. It is supported by a web enabled data management system. He completed a BBSRC/Royal Society of Edinburgh Enterprise Fellowship in 2016 to develop Milkalyser, a system that will revolutionise dairy cow fertility. He was elected to the Royal Academy of Engineering in 2016. Current projects include rumen telemetry via Bluetooth, hormone sensing and 5G for IoT in agriculture.

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