Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions

Harrowing is mostly applied with a constant intensity across the whole field. Heterogeneous field conditions such as variable soil texture, different crop growth stages, variations of the weed infestation level, and weed species composition are usually not considered during the treatment. This study...

Full description

Bibliographic Details
Main Authors: Michael Spaeth, Jannis Machleb, Gerassimos G. Peteinatos, Marcus Saile, Roland Gerhards
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/10/12/1925
_version_ 1797545482582491136
author Michael Spaeth
Jannis Machleb
Gerassimos G. Peteinatos
Marcus Saile
Roland Gerhards
author_facet Michael Spaeth
Jannis Machleb
Gerassimos G. Peteinatos
Marcus Saile
Roland Gerhards
author_sort Michael Spaeth
collection DOAJ
description Harrowing is mostly applied with a constant intensity across the whole field. Heterogeneous field conditions such as variable soil texture, different crop growth stages, variations of the weed infestation level, and weed species composition are usually not considered during the treatment. This study offers a new approach to sensor-based harrowing which addresses these field variations. Smart harrowing requires the continuous adaptation of the treatment intensity to maintain the same level of crop selectivity while ensuring a high weed control efficacy. Therefore, a harrow was equipped with a sensor-system to automatically adjust the angle of the harrow tines based on a newly developed decision algorithm. In 2020, three field experiments were conducted in winter wheat and spring oats to investigate the response of the weed control efficacy and the crop to different harrowing intensities, in Southwest Germany. In all experiments, six levels of crop soil cover (CSC) were tested. The CSC determines the balance between crop damage and weed removal. Each experiment contained an untreated control and an herbicide treatment as a comparison to the harrowing treatments. The results showed an increase in the weed control efficacy (WCE) with an increasing CSC threshold. Difficult-to-control weed species such as <i>Cirsium arvense</i> L. and <i>Galium aparine</i> L. were best controlled with a CSC threshold of 70%. However, 70% CSC caused up to 50% crop biomass loss and up to 2 t·ha<sup>−1</sup> of grain yield reduction. With a CSC threshold of 20% it was possible to control up to 98% of <i>Thlaspi arvense</i> L. The highest crop biomass, grain yield, and selectivity were achieved with an CSC threshold of 20–25% at all locations. With this harrowing intensity, grain yields were higher than in the herbicide plots and a WCE of 68–98% was achieved. Due to the rapid adjustment of tine angle, the new sensor-based harrow allows users to apply the most selective harrowing intensity in every location of the field. Therefore, it can achieve equal weed control efficacies as using herbicide applications.
first_indexed 2024-03-10T14:16:04Z
format Article
id doaj.art-eaac1f4edabd4d76bb9856a38176c506
institution Directory Open Access Journal
issn 2073-4395
language English
last_indexed 2024-03-10T14:16:04Z
publishDate 2020-12-01
publisher MDPI AG
record_format Article
series Agronomy
spelling doaj.art-eaac1f4edabd4d76bb9856a38176c5062023-11-20T23:50:13ZengMDPI AGAgronomy2073-43952020-12-011012192510.3390/agronomy10121925Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field ConditionsMichael Spaeth0Jannis Machleb1Gerassimos G. Peteinatos2Marcus Saile3Roland Gerhards4Department of Weed Science, Institute of Phytomedicine, University of Hohenheim, 70599 Stuttgart, GermanyDepartment of Weed Science, Institute of Phytomedicine, University of Hohenheim, 70599 Stuttgart, GermanyDepartment of Weed Science, Institute of Phytomedicine, University of Hohenheim, 70599 Stuttgart, GermanyDepartment of Weed Science, Institute of Phytomedicine, University of Hohenheim, 70599 Stuttgart, GermanyDepartment of Weed Science, Institute of Phytomedicine, University of Hohenheim, 70599 Stuttgart, GermanyHarrowing is mostly applied with a constant intensity across the whole field. Heterogeneous field conditions such as variable soil texture, different crop growth stages, variations of the weed infestation level, and weed species composition are usually not considered during the treatment. This study offers a new approach to sensor-based harrowing which addresses these field variations. Smart harrowing requires the continuous adaptation of the treatment intensity to maintain the same level of crop selectivity while ensuring a high weed control efficacy. Therefore, a harrow was equipped with a sensor-system to automatically adjust the angle of the harrow tines based on a newly developed decision algorithm. In 2020, three field experiments were conducted in winter wheat and spring oats to investigate the response of the weed control efficacy and the crop to different harrowing intensities, in Southwest Germany. In all experiments, six levels of crop soil cover (CSC) were tested. The CSC determines the balance between crop damage and weed removal. Each experiment contained an untreated control and an herbicide treatment as a comparison to the harrowing treatments. The results showed an increase in the weed control efficacy (WCE) with an increasing CSC threshold. Difficult-to-control weed species such as <i>Cirsium arvense</i> L. and <i>Galium aparine</i> L. were best controlled with a CSC threshold of 70%. However, 70% CSC caused up to 50% crop biomass loss and up to 2 t·ha<sup>−1</sup> of grain yield reduction. With a CSC threshold of 20% it was possible to control up to 98% of <i>Thlaspi arvense</i> L. The highest crop biomass, grain yield, and selectivity were achieved with an CSC threshold of 20–25% at all locations. With this harrowing intensity, grain yields were higher than in the herbicide plots and a WCE of 68–98% was achieved. Due to the rapid adjustment of tine angle, the new sensor-based harrow allows users to apply the most selective harrowing intensity in every location of the field. Therefore, it can achieve equal weed control efficacies as using herbicide applications.https://www.mdpi.com/2073-4395/10/12/1925digital farmingdigital image analysismechanical weedingprecision farming
spellingShingle Michael Spaeth
Jannis Machleb
Gerassimos G. Peteinatos
Marcus Saile
Roland Gerhards
Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions
Agronomy
digital farming
digital image analysis
mechanical weeding
precision farming
title Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions
title_full Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions
title_fullStr Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions
title_full_unstemmed Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions
title_short Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions
title_sort smart harrowing adjusting the treatment intensity based on machine vision to achieve a uniform weed control selectivity under heterogeneous field conditions
topic digital farming
digital image analysis
mechanical weeding
precision farming
url https://www.mdpi.com/2073-4395/10/12/1925
work_keys_str_mv AT michaelspaeth smartharrowingadjustingthetreatmentintensitybasedonmachinevisiontoachieveauniformweedcontrolselectivityunderheterogeneousfieldconditions
AT jannismachleb smartharrowingadjustingthetreatmentintensitybasedonmachinevisiontoachieveauniformweedcontrolselectivityunderheterogeneousfieldconditions
AT gerassimosgpeteinatos smartharrowingadjustingthetreatmentintensitybasedonmachinevisiontoachieveauniformweedcontrolselectivityunderheterogeneousfieldconditions
AT marcussaile smartharrowingadjustingthetreatmentintensitybasedonmachinevisiontoachieveauniformweedcontrolselectivityunderheterogeneousfieldconditions
AT rolandgerhards smartharrowingadjustingthetreatmentintensitybasedonmachinevisiontoachieveauniformweedcontrolselectivityunderheterogeneousfieldconditions