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2016 | OriginalPaper | Buchkapitel

56. Robotics in Agriculture and Forestry

verfasst von : Marcel Bergerman, John Billingsley, John Reid, Eldert van Henten

Erschienen in: Springer Handbook of Robotics

Verlag: Springer International Publishing

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Abstract

Robotics for agriculture and forestry (A&F) represents the ultimate application of one of our society’s latest and most advanced innovations to its most ancient and important industries. Over the course of history, mechanization and automation increased crop output several orders of magnitude, enabling a geometric growth in population and an increase in quality of life across the globe. Rapid population growth and rising incomes in developing countries, however, require ever larger amounts of A&F output. This chapter addresses robotics for A&F in the form of case studies where robotics is being successfully applied to solve well-identified problems. With respect to plant crops, the focus is on the in-field or in-farm tasks necessary to guarantee a quality crop and, generally speaking, end at harvest time. In the livestock domain, the focus is on breeding and nurturing, exploiting, harvesting, and slaughtering and processing. The chapter is organized in four main sections. The first one explains the scope, in particular, what aspects of robotics for A&F are dealt with in the chapter. The second one discusses the challenges and opportunities associated with the application of robotics to A&F. The third section is the core of the chapter, presenting twenty case studies that showcase (mostly) mature applications of robotics in various agricultural and forestry domains. The case studies are not meant to be comprehensive but instead to give the reader a general overview of how robotics has been applied to A&F in the last 10 years. The fourth section concludes the chapter with a discussion on specific improvements to current technology and paths to commercialization.

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Zurück zum Zitat C. McCarthy, J. Billingsley, N. Finch, P. Murray, J. Gaughan: Cattle liveweight estimation using machine vision assessment of objective body measurements: First results, Proc. 28th Bienn. Aust. Soc. Anim. Production Conf., Vol. 28 (Australian Society of Animal Production, Wagga Wagga 2010) C. McCarthy, J. Billingsley, N. Finch, P. Murray, J. Gaughan: Cattle liveweight estimation using machine vision assessment of objective body measurements: First results, Proc. 28th Bienn. Aust. Soc. Anim. Production Conf., Vol. 28 (Australian Society of Animal Production, Wagga Wagga 2010)
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Metadaten
Titel
Robotics in Agriculture and Forestry
verfasst von
Marcel Bergerman
John Billingsley
John Reid
Eldert van Henten
Copyright-Jahr
2016
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-32552-1_56