Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine

J. Hemming, Hermen de Jong, Lauwrens Struik, Jasper van Meer, E.J. van Henten

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

Wageningen University and Research developed a machine vision based intra row hoeing machine in collaboration with Steketee, a manufacturer of agricultural machinery. Although the machine is used in agricultural practice for several years already there is still a lack of an experimental method to evaluate the field performance of such a device. Reliable, quantitative information about the performance of the machine in the field is therefore not known and the effect of variations in field conditions and machine settings on the performance were not previously researched. The relative number of crop plants damaged by the machine and the relative amount of soil around the crop plants not hoed were used as criteria to assess the field performance. The performance was measured both manually on the field and with the help of sensors by logging the actuation response of the hoeing elements. In the field trial four treatments were combined: 1) the relative number of lettuce plants, 2) the weed density on the field, 3) the driving speed during hoeing, and 4) the moment of hoeing. Each possible combination of treatments was repeated three times. It was concluded that the developed method was suitable to determine statistically significant differences in the hoeing results for the applied treatments. No difference in the machine performance was found for different numbers of missing crop plants in a plant row. The machine performance decreased in terms of the relative number of damaged crop plants in case of high weed density treatments and decreased in terms of the relative number of not hoed intra row spaces in case of high speed treatments.
Original languageEnglish
Title of host publicationProceedings of the European Conference on Agricultural Engineering AgEng2018
EditorsP.W.G. Koerkamp, C. Lokhorst, B. Ipema, C. Kempenaar, C.M. Groenestein, C.G. van Oostrum, N.J. Ros
Place of PublicationWageningen
PublisherWageningen University & Research
Pages188-196
Publication statusPublished - Jul 2018
EventAgEng Conference 2018: New Engineering concepts for a valued agriculture - Wageningen, Netherlands
Duration: 8 Jul 201812 Jul 2018
http://www.ageng2018.com/

Conference

ConferenceAgEng Conference 2018
CountryNetherlands
CityWageningen
Period8/07/1812/07/18
Internet address

Fingerprint

hoeing
computer vision
crops
methodology
weeds
agricultural machinery and equipment
lettuce
logging
sensors (equipment)
field experimentation

Cite this

Hemming, J., de Jong, H., Struik, L., van Meer, J., & van Henten, E. J. (2018). Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine. In P. W. G. Koerkamp, C. Lokhorst, B. Ipema, C. Kempenaar, C. M. Groenestein, C. G. van Oostrum, & N. J. Ros (Eds.), Proceedings of the European Conference on Agricultural Engineering AgEng2018 (pp. 188-196). Wageningen: Wageningen University & Research.
Hemming, J. ; de Jong, Hermen ; Struik, Lauwrens ; van Meer, Jasper ; van Henten, E.J. / Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine. Proceedings of the European Conference on Agricultural Engineering AgEng2018. editor / P.W.G. Koerkamp ; C. Lokhorst ; B. Ipema ; C. Kempenaar ; C.M. Groenestein ; C.G. van Oostrum ; N.J. Ros. Wageningen : Wageningen University & Research, 2018. pp. 188-196
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title = "Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine",
abstract = "Wageningen University and Research developed a machine vision based intra row hoeing machine in collaboration with Steketee, a manufacturer of agricultural machinery. Although the machine is used in agricultural practice for several years already there is still a lack of an experimental method to evaluate the field performance of such a device. Reliable, quantitative information about the performance of the machine in the field is therefore not known and the effect of variations in field conditions and machine settings on the performance were not previously researched. The relative number of crop plants damaged by the machine and the relative amount of soil around the crop plants not hoed were used as criteria to assess the field performance. The performance was measured both manually on the field and with the help of sensors by logging the actuation response of the hoeing elements. In the field trial four treatments were combined: 1) the relative number of lettuce plants, 2) the weed density on the field, 3) the driving speed during hoeing, and 4) the moment of hoeing. Each possible combination of treatments was repeated three times. It was concluded that the developed method was suitable to determine statistically significant differences in the hoeing results for the applied treatments. No difference in the machine performance was found for different numbers of missing crop plants in a plant row. The machine performance decreased in terms of the relative number of damaged crop plants in case of high weed density treatments and decreased in terms of the relative number of not hoed intra row spaces in case of high speed treatments.",
author = "J. Hemming and {de Jong}, Hermen and Lauwrens Struik and {van Meer}, Jasper and {van Henten}, E.J.",
year = "2018",
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Hemming, J, de Jong, H, Struik, L, van Meer, J & van Henten, EJ 2018, Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine. in PWG Koerkamp, C Lokhorst, B Ipema, C Kempenaar, CM Groenestein, CG van Oostrum & NJ Ros (eds), Proceedings of the European Conference on Agricultural Engineering AgEng2018. Wageningen University & Research, Wageningen, pp. 188-196, AgEng Conference 2018, Wageningen, Netherlands, 8/07/18.

Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine. / Hemming, J.; de Jong, Hermen; Struik, Lauwrens; van Meer, Jasper; van Henten, E.J.

Proceedings of the European Conference on Agricultural Engineering AgEng2018. ed. / P.W.G. Koerkamp; C. Lokhorst; B. Ipema; C. Kempenaar; C.M. Groenestein; C.G. van Oostrum; N.J. Ros. Wageningen : Wageningen University & Research, 2018. p. 188-196.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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T1 - Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine

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AU - de Jong, Hermen

AU - Struik, Lauwrens

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N2 - Wageningen University and Research developed a machine vision based intra row hoeing machine in collaboration with Steketee, a manufacturer of agricultural machinery. Although the machine is used in agricultural practice for several years already there is still a lack of an experimental method to evaluate the field performance of such a device. Reliable, quantitative information about the performance of the machine in the field is therefore not known and the effect of variations in field conditions and machine settings on the performance were not previously researched. The relative number of crop plants damaged by the machine and the relative amount of soil around the crop plants not hoed were used as criteria to assess the field performance. The performance was measured both manually on the field and with the help of sensors by logging the actuation response of the hoeing elements. In the field trial four treatments were combined: 1) the relative number of lettuce plants, 2) the weed density on the field, 3) the driving speed during hoeing, and 4) the moment of hoeing. Each possible combination of treatments was repeated three times. It was concluded that the developed method was suitable to determine statistically significant differences in the hoeing results for the applied treatments. No difference in the machine performance was found for different numbers of missing crop plants in a plant row. The machine performance decreased in terms of the relative number of damaged crop plants in case of high weed density treatments and decreased in terms of the relative number of not hoed intra row spaces in case of high speed treatments.

AB - Wageningen University and Research developed a machine vision based intra row hoeing machine in collaboration with Steketee, a manufacturer of agricultural machinery. Although the machine is used in agricultural practice for several years already there is still a lack of an experimental method to evaluate the field performance of such a device. Reliable, quantitative information about the performance of the machine in the field is therefore not known and the effect of variations in field conditions and machine settings on the performance were not previously researched. The relative number of crop plants damaged by the machine and the relative amount of soil around the crop plants not hoed were used as criteria to assess the field performance. The performance was measured both manually on the field and with the help of sensors by logging the actuation response of the hoeing elements. In the field trial four treatments were combined: 1) the relative number of lettuce plants, 2) the weed density on the field, 3) the driving speed during hoeing, and 4) the moment of hoeing. Each possible combination of treatments was repeated three times. It was concluded that the developed method was suitable to determine statistically significant differences in the hoeing results for the applied treatments. No difference in the machine performance was found for different numbers of missing crop plants in a plant row. The machine performance decreased in terms of the relative number of damaged crop plants in case of high weed density treatments and decreased in terms of the relative number of not hoed intra row spaces in case of high speed treatments.

M3 - Chapter

SP - 188

EP - 196

BT - Proceedings of the European Conference on Agricultural Engineering AgEng2018

A2 - Koerkamp, P.W.G.

A2 - Lokhorst, C.

A2 - Ipema, B.

A2 - Kempenaar, C.

A2 - Groenestein, C.M.

A2 - van Oostrum, C.G.

A2 - Ros, N.J.

PB - Wageningen University & Research

CY - Wageningen

ER -

Hemming J, de Jong H, Struik L, van Meer J, van Henten EJ. Field Performance Evaluation Method for a Machine Vision Based Intra Row Hoeing Machine. In Koerkamp PWG, Lokhorst C, Ipema B, Kempenaar C, Groenestein CM, van Oostrum CG, Ros NJ, editors, Proceedings of the European Conference on Agricultural Engineering AgEng2018. Wageningen: Wageningen University & Research. 2018. p. 188-196