Research on Key Technologies of Planting Machinery and Combine Harvester
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Agricultural Biosystem and Biological Engineering".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 31989
Special Issue Editors
Interests: precision; planting; harvesting; agricultural equipment; modern agriculture; parameter optimization; machine systems-crops-soil
Special Issues, Collections and Topics in MDPI journals
Interests: modern design methodology of farm machinery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As is known, the earliest farming dates back to 10,000 years ago. By combining the reaping, threshing, and winnowing, we humans invented the very first combine harvester in history. Nowadays, agricultural productivity has been largely boosted thanks to modern planting machinery and combine harvesters. Meanwhile, millions of farmers are freed from labor-intensive production work. In the foreseeable future, more techniques concerning precise detection, monitoring and decision support systems, and innovative machinery optimization are broadly needed. Specifically, these techniques could be critical to the construction of future farms and AI management systems, which can be highly automatic and economic to human society. Fortunately, a lot of research has been dedicated to solving these problems and improving our practical agricultural production. Lastly, the integration of agronomy and machinery technologies has contributed to significant progress and gained widespread support in research of these decades, which is exactly what Agronomy aims to achieve. New research papers, reviews, case reports, and conference papers are welcome in this issue. Papers dealing with new approaches to apply precise monitoring or real-time detection in planting and harvesting machinery, as well those based on modern design methodologies in farm machinery and precise planting and management, are also welcome. Other manuscript types accepted include methodological papers, position papers, brief reports, and commentaries.
Here are some examples of topics that could be addressed in this Special Issue:
- New method and equipment in planting machinery;
- New method and equipment in harvesting machinery;
- Design methodology in farm machinery;
- Precise monitoring or real-time detection technologies;
- AI management system;
- Integration of agronomy and machinery technologies.
Prof. Dr. Hua Li
Prof. Dr. Lizhang Xu
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
- planting machines
- machinery optimization
- precise monitoring
- real-time detection
- decision support system
- harvesting techniques
- simulation analysis
- agronomy
- machine learning
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