Development of a small agricultural field inspection vehicle

R. Gottschalk; X.P. Burgos-Artizzu; A. Ribeiro

Development of a small agricultural field inspection vehicle

In: Precision agriculture '09

Authors:

R. Gottschalk

R. Gottschalk Artificial Perception Group (GPA), Instituto de Automática Industrial (CSIC), Arganda del Rey, Madrid, Spain; angela@iai.csic.es

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X.P. Burgos-Artizzu

X.P. Burgos-Artizzu Artificial Perception Group (GPA), Instituto de Automática Industrial (CSIC), Arganda del Rey, Madrid, Spain; angela@iai.csic.es

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, and

A. Ribeiro

A. Ribeiro Artificial Perception Group (GPA), Instituto de Automática Industrial (CSIC), Arganda del Rey, Madrid, Spain; angela@iai.csic.es

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Type:: Chapter

Pages:: 877–884

DOI:: https://doi.org/10.1163/9789086866649_105

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Abstract

Weed mapping is a valuable tool when it comes to optimizing the use of resources in managing the attempts made to control weeds. Weed mapping has traditionally been done by using random sampling techniques, amongst others, with a team of experts working in the field. One alternative to this tedious task, which requires moving the experts with the consequent associated cost, is the use of photographic samples, with and without controlled lighting. Once in the laboratory an expert can estimate the amount of weeds and the growth state of the crop on the basis of the set of photos that have been taken at the geo-referenced sampling points. This method can be used to observe the photos several times and correct errors in estimation, this in view of the fact that visual assessment of the photos is a subjective process in which it is easy to adapt observation to an overall situation; for example, average density can be estimated as high if the set of photos is not very dense and as low if the opposite is the case. This paper presents the first vehicle prototype developed at the IAI-CSIC that is able to move autonomously across agricultural fields, taking high-resolution photos, at sampling points defined by the user for the generation of a weed distribution map. The autonomous vehicle was tested successfully in an agricultural environment without controlled lighting.

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Precision agriculture '09

E-Book ISBN:: 9789086866649

Publisher:: Wageningen Academic

Print Publication Date:: 01 Jan 2009

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Development of a small agricultural field inspection vehicle

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Precision agriculture '09

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