Ecology, Evolution, and Management of Agricultural Weeds

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Protection, Diseases, Pests and Weeds".

Deadline for manuscript submissions: 10 September 2026 | Viewed by 876

Special Issue Editors


E-Mail Website
Guest Editor
Institute of Environment and Ecology, School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
Interests: agricultural ecological protection; agricultural ecological restoration; agricultural environmental health; ecological security

E-Mail Website
Guest Editor
Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing 210095, China
Interests: integrated weed management; predictive modeling; evolution of weed resistance; artificial intelligence; weed community succession

Special Issue Information

Dear Colleagues,

Agricultural weeds, including invasive species, pose significant challenges to global food security by competing with crops for resources, altering ecosystem functions, and evolving resistance to control measures. Understanding their ecological dynamics, evolutionary adaptations, and sustainable management strategies is critical in the context of climate change and intensified agriculture.

This Special Issue of Agriculture invites cutting-edge research that bridges fundamental ecology, evolutionary biology, and applied weed management to address these multifaceted challenges. We particularly encourage the application of interdisciplinary technologies in weed identification, monitoring, prediction, and control, such as using AI technology to identify and remove weeds, and employing ecological methods to control weeds.

For this reason, we invite highly interdisciplinary quality studies from a range of research fields including agriculture, ecology, and engineering, among others. We welcome original research articles, reviews, and case studies covering (but not limited to) the following:

  1. Ecological Mechanisms: Weed-crop interactions, soil microbiome influences, and weed community assembly under different agricultural practices.
  2. Evolutionary Adaptations: Genetic basis of herbicide resistance, rapid evolution in response to management, and invasiveness traits.
  3. Integrated Management: Innovations in biological control, precision agriculture, crop diversification, and traditional cultural practices to suppress weeds sustainably.
  4. Invasive Weeds: Spread dynamics, ecological impacts, and region-specific management strategies for invasive species.
  5. Policy and Socioeconomics: Farmer decision-making, cost–benefit analyses of management options, and policy frameworks for weed control.

Dr. Zhicong Dai
Dr. Zheng Zhang
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 250 words) can be sent to the Editorial Office for assessment.

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. Agriculture is an international peer-reviewed open access semimonthly 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

  • agricultural weeds
  • ecological mechanisms
  • evolutionary adaptations
  • invasive weeds

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

23 pages, 3056 KB  
Article
Design and Experiment of Intelligent Mechanical Weeding System Based on DEM–MBD Coupling
by Deng Sun, Haitao Chen and Longzhe Quan
Agriculture 2026, 16(5), 613; https://doi.org/10.3390/agriculture16050613 - 6 Mar 2026
Viewed by 523
Abstract
Weed control is crucial for safeguarding the yield and quality of fresh maize. To achieve comprehensive, low-damage removal of weeds in fresh maize fields, an intelligent mechanical weeding system was developed. Based on the spatial distribution of maize seedling roots and agronomic requirements, [...] Read more.
Weed control is crucial for safeguarding the yield and quality of fresh maize. To achieve comprehensive, low-damage removal of weeds in fresh maize fields, an intelligent mechanical weeding system was developed. Based on the spatial distribution of maize seedling roots and agronomic requirements, a three-dimensional protection zone was established and a dedicated intra-row weeding knife was designed. An EDEM–RecurDyn co-simulation was then performed; single-factor and orthogonal experiments were used to evaluate the effects of operating speed, hydraulic cylinder extension–retraction speed, and knife bending angle on the coverage rate and intrusion rate, and to determine the optimal parameter combination. Seedling detection and field weeding trials were subsequently conducted. The detection accuracies under good and low illumination were 95.82% and 93.32%, respectively. Under the optimal settings (operating speed 1.5 km/h, hydraulic cylinder extension–retraction speed 0.22 m/s, and knife bending angle 20°), the system achieved a mean weeding rate of 90.79% and a mean seedling damage rate of 2.27%. The results demonstrate stable performance and confirm that the proposed system meets the requirements for comprehensive, low-damage weeding in fresh maize fields, providing a reference for the design of intelligent mechanical weeding equipment. Full article
(This article belongs to the Special Issue Ecology, Evolution, and Management of Agricultural Weeds)
Show Figures

Figure 1

Back to TopTop