Intelligent Equipment and Automation Technology in Farmland Production

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 227

Special Issue Editors


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Guest Editor
Key Laboratory of Bionics Engineering, Ministry of Education, Jilin University, Changchun 130025, China
Interests: precision planting; seeding monitoring; ultra-sensitive sensors; autonomous decision-making algorithms; control systems; deep learning; field image recognition; lightweight and high-strength materials
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
Interests: precision agriculture; bionic design of agricultural machinery; electrospun polymer nanofibers; conductive polymer composites; functional fibrous membranes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Intelligent agricultural equipment is crucial for enhancing agricultural production efficiency and crop yield due to the fact that it can be used to provide the best growing environment for crops. In recent years, with the rapid development of high-precision multi-field coupling simulation technology, flexible sensing technology, and artificial intelligence algorithms, which have provided new ideas for the visual design of agricultural machinery and the monitoring of the entire agricultural machinery operation process, the question of how to improve the level of intelligence and informationization of agricultural machinery and equipment has become the focus of research in the field of agricultural machinery.

The main purpose of this Special Issue is to provide a platform for academic exchange and to feature innovative research results of automation technology and agricultural intelligent equipment. We invite experts and scholars engaged in related research to contribute. The contents of this Issue include, but are not limited to, the following:

  • Intelligent agricultural machinery and equipment design;
  • The application of multi-field coupling simulation technology in the design of agricultural machinery;
  • Innovative applications of high-precision control systems or related algorithms in the field of agricultural machinery;
  • Innovative applications of flexible sensors in the field of agricultural machinery.

In addition, this Special Issue welcomes research articles, review papers, and short communications that contribute to the advancement of knowledge in this rapidly developing field. We encourage submissions that highlight the design of smart agricultural equipment and automation and information control systems or related algorithms for agricultural machinery.

By publishing your research results in this Special Issue, you will have the opportunity to share your findings with a global audience and contribute to the development of the field. We look forward to receiving your submissions and facilitating the dissemination of groundbreaking research in this exciting field.

Prof. Dr. Jiale Zhao
Dr. Mingzhuo Guo
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. 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

  • precision agriculture
  • precision planting
  • seeding monitoring
  • ultra-sensitive sensors
  • autonomous decision-making algorithms
  • control systems
  • deep learning
  • field image recognition

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Published Papers (1 paper)

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Research

18 pages, 6467 KiB  
Article
Design and Test of a Bionic Auxiliary Soil-Crushing Device for Strip-Tillage Machines
by Kui Zhang, Yong-Ying Zhang, Xinliang Zhao, Yun Zhao, Xin Feng, Qi Wang and Jinwu Wang
Agriculture 2025, 15(9), 944; https://doi.org/10.3390/agriculture15090944 (registering DOI) - 27 Apr 2025
Viewed by 131
Abstract
Suitable strip-tillage effectively enhances crop productivity and soil quality in Northeast China, yet conventional strip-tillage machines suffer from inadequate soil fragmentation. To address this issue, this study developed a bionic auxiliary soil-crushing device for the equipment. Specifically, we conducted a theoretical analysis of [...] Read more.
Suitable strip-tillage effectively enhances crop productivity and soil quality in Northeast China, yet conventional strip-tillage machines suffer from inadequate soil fragmentation. To address this issue, this study developed a bionic auxiliary soil-crushing device for the equipment. Specifically, we conducted a theoretical analysis of the soil-crushing blade to identify the key structural parameters affecting operational performance, along with their optimal value ranges. The blade tooth structure was designed following the claw-toe contour of the Oriental mole cricket (Gryllotalpa orientalis) for enhanced efficiency. A two-factor (working width and working depth), three-level central composite design (CCD) experiment was carried out using EDEM 2021 discrete element simulation software, taking the soil fragmentation rate and operational resistance as response variables. The results suggested that optimal performance was achieved at a working width of 40.66 mm and a working depth of 50 mm. Field experiments demonstrate that the soil fragmentation rate increased as the operational speed rose. The addition of the auxiliary device contributed to a soil fragmentation rate of 94.54%, bringing about an 11.54% improvement compared to the non-equipped machine. This outcome also validated the accuracy of the simulation experiments. This research provides technical and equipment support for the further development of conservation tillage practices. Full article
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