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Agronomy
Special Issues
Crop Monitoring and Weed Management Based on Sensor-Actuation Systems
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Crop Monitoring and Weed Management Based on Sensor-Actuation Systems

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Weed Science and Weed Management".

Deadline for manuscript submissions: closed (5 October 2021) | Viewed by 4416

Special Issue Editors

Dr. Dionisio Andújar

E-Mail Website
Guest Editor
CSIC-UPM - Centro de Automatica y Robotica (CAR), 28500 Madrid, Spain
Interests: robotics; artificial perception; plant crop monitoring; agricultural machinery
Special Issues, Collections and Topics in MDPI journals
Dr. Gerassimos Peteinatos

E-Mail Website
Guest Editor
Institute of Phytomedicine (360), Department of Weed Science, University of Hohenheim, 70599 Stuttgart, Germany
Interests: precision farming; sensors in agriculture; robotics; mechanical weed management; AI; hyperspecral data; innovation technologies
Special Issues, Collections and Topics in MDPI journals
Dr. Victor Rueda-Ayala

E-Mail Website
Guest Editor
Norwegian Institute of Bioeconomy Research, NIBIO Særheim, Postvegen 213, 4353 Klepp Stasjon, Norway
Interests: statistical analysis; AI and Ml in agriculture; sensor-based agricultural management; plant-plant interactions; alternative weed control; allelopathy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing social and legislative pressure to reduce chemical inputs in agriculture, the emergence of herbicide-resistant weed species and consumers’ concerns about biodiversity preservation demand highly effective weed management strategies. Sensor and actuation systems offer promising alternatives for weed management. Sensors play a key role in the automation of agriculture and precision farming, providing data to help farmers monitor crops and optimize practices, while adapting to the changing environmental factors. Until now, the actual utilization of sensor systems in weed management, either for herbicide reduction or mechanical weed control, is less than anticipated. This Special Issue aims to combine current research and development, concerning novel sensors and their specific applications in weed management. Papers demonstrating innovative ways in which sensor and actuation systems are implemented for weed identification and management, precision weed control or a more ecologically friendly weed reduction approach, are highly welcome.

Kind regards,

Dr. Andujar Dionisio
Dr. Gerassimos Peteinatos
Dr. Victor P. Rueda-Ayala
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • actuators
  • artificial intelligence
  • cost-effective technology
  • environmental protection
  • map weed control
  • online weed control
  • precision weed management
  • real-time actuation
  • sensors

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Published Papers (1 paper)

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Research

14 pages, 2658 KiB  
Article
Smart Harrowing—Adjusting the Treatment Intensity Based on Machine Vision to Achieve a Uniform Weed Control Selectivity under Heterogeneous Field Conditions
by Michael Spaeth, Jannis Machleb, Gerassimos G. Peteinatos, Marcus Saile and Roland Gerhards
Agronomy 2020, 10(12), 1925; https://doi.org/10.3390/agronomy10121925 - 8 Dec 2020
Cited by 12 | Viewed by 3672
Abstract
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 [...] Read more.
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 Cirsium arvense L. and Galium aparine 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−1 of grain yield reduction. With a CSC threshold of 20% it was possible to control up to 98% of Thlaspi arvense 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. Full article
(This article belongs to the Special Issue Crop Monitoring and Weed Management Based on Sensor-Actuation Systems)
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