Research Progress on Agricultural Equipments for Precision Planting and Harvesting
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 3463
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,
For man, machine has become the development trend of modern agriculture. Unlike tillage and plant protection, planting and harvesting vary from crop to crop, resulting in a lack of universality in related planting and harvesting equipment. The planting and harvesting methods of crops are very different, and the mechanisms of mechanized planting and harvesting are also complicated, constituting an important factor restricting the development of their mechanization. In-depth investigation of the mechanisms of mechanized planting and harvesting of different crops, as well as constantly improving the quality of mechanized planting and harvesting, are some of the challenges of modern agriculture. Precision planting and harvesting agricultural equipment can effectively improve operational quality.
This Special Issue focuses on precision planting and harvesting methods as well as the technologies for agricultural equipment to improve the operational quality and advance the development process of modern agriculture. This issue will fully embrace inter- and trans-disciplinary studies from multiple disciplines (agricultural science, soil science, mechanical engineering, information engineering, mechanics, etc.). It is encouraged to reveal the mechanisms of precision planting and harvesting and the optimization of operational parameters through a combination of theory, experiment, and simulation. In particular, the application of the latest technologies, such as artificial intelligence, is encouraged to help improve the operational quality of precision planting and harvesting using agricultural equipment. Research articles will cover precision planting and harvesting of a variety of different crops. All types of articles, such as original research, opinions, and reviews, are welcome.
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. Agriculture 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
- precision
- planting
- harvesting
- agricultural equipment
- operational quality
- parameter optimization
- machine systems
- crops
- soil
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