Integrated Weed Management Approaches and Decision Support 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 (28 December 2021) | Viewed by 55314
Special Issue Editors
Interests: agronomy; weed biology and ecology; herbicide resistance; integrated weed management; agroecological weed management
Special Issues, Collections and Topics in MDPI journals
Interests: Integrated weed management; herbicide resistance; DSS; precision agriculture; agronomy
Interests: Integrated weed management; herbicide resistance; DSS; precision agriculture; agronomy
Interests: Integrated weed management; herbicide resistance; DSS; precision agriculture; agronomy
Interests: agronomy; organic agriculture; integrated weed management; DSS; precision agriculture
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The European Community Directive 128/2009 on the sustainable use of pesticides pays special attention to crop health with the minimum disruption of agro-ecosystems and reduced risks for human health and the environment. Integrated pest management (IPM) and integrated weed management (IWM) focus on cultural practices, justification of plant protection actions needed (based on tools such as monitoring, warning systems, early diagnosis, etc.), and chemical control at the lowest necessary levels without increasing the risk of resistance or side effects, with the parallel use of non-chemical methods. The IPM and IWM frameworks only work with systematic decision making. However, compared with decision-making processes in other economic activities, the decision-making processes in crop protection and weed science have received little attention.
Please share your studies on several topics related to integrated weed management and decision support systems in this Special Issue. In particular, submissions on the following topics (but not limited to these topics) are invited: (1) integrated weed management, (2) decision support systems, (3) cultural practices for weed management (e.g., crop rotation, false seedbeds), (4) modeling approaches, (5) use of reduced herbicide rates, (6) weed-competitive crops and cultivars, (7) proactive and reactive herbicide resistance management, (8) warning services, (9) economic thresholds, and (10) digital farming and robotics
Dr. Ilias Travlos
Dr. Per Rydahl
Dr. Jose Montull
Dr. Arnd Verchwele
Dr. Panagiotis Kanatas
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
- integrated weed management
- decision support systems
- weed-competitive crops and cultivars
- herbicide resistance
- economic thresholds
- digital farming and robotics
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