Mapping wide row crops with video sequences acquired from a tractor moving at treatment speed

Sainz Costa, Nadir and Ribeiro Seijas, Ángela and Burgos Artizzu, Xavier and Guijarro, Maria and Pajares, Gonzalo (2011). Mapping wide row crops with video sequences acquired from a tractor moving at treatment speed. "Sensors", v. 11 (n. 7); pp. 7095-7109. ISSN 14248220. https://doi.org/10.3390/s110707095.

Description

Title: Mapping wide row crops with video sequences acquired from a tractor moving at treatment speed
Author/s:
  • Sainz Costa, Nadir
  • Ribeiro Seijas, Ángela
  • Burgos Artizzu, Xavier
  • Guijarro, Maria
  • Pajares, Gonzalo
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2011
ISSN: 14248220
Volume: 11
Subjects:
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents a mapping method for wide row crop fields. The resulting map shows the crop rows and weeds present in the inter-row spacing. Because field videos are acquired with a camera mounted on top of an agricultural vehicle, a method for image sequence stabilization was needed and consequently designed and developed. The proposed stabilization method uses the centers of some crop rows in the image sequence as features to be tracked, which compensates for the lateral movement (sway) of the camera and leaves the pitch unchanged. A region of interest is selected using the tracked features, and an inverse perspective technique transforms the selected region into a bird’s-eye view that is centered on the image and that enables map generation. The algorithm developed has been tested on several video sequences of different fields recorded at different times and under different lighting conditions, with good initial results. Indeed, lateral displacements of up to 66% of the inter-row spacing were suppressed through the stabilization process, and crop rows in the resulting maps appear straight

Funding Projects

TypeCodeAcronymLeaderTitle
FP7245986RHEAUnspecifiedRobots fleets for highly effective agriculture and forestry management

More information

Item ID: 13894
DC Identifier: http://oa.upm.es/13894/
OAI Identifier: oai:oa.upm.es:13894
DOI: 10.3390/s110707095
Official URL: http://www.mdpi.com/1424-8220/11/7/7095
Deposited by: Memoria Investigacion
Deposited on: 20 Dec 2012 18:57
Last Modified: 24 Feb 2017 17:56
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