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Special Issue "'Eyes', 'Brain', 'Feet' and 'Hands' of Efficient Harvesting Machinery"
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".
Deadline for manuscript submissions: closed (25 March 2023) | Viewed by 14718
Special Issue Editors
E-Mail Website1 Website2
Interests: harvesters; mechanics of crop materials; intelligent agricultural equipment
Interests: harvesters; mechanical troubleshooting
Interests: high-end agricultural machinery and equipment health maintenance; intelligent manufacturing technology and equipment
Special Issue Information
Harvesting machinery has the main function of cutting, picking, or digging mature crop seeds, fruits, stalks, leaves, root parts, or the whole plant and are also necessary to complete collection, threshing, cleaning, transfer, and other operations. The characteristics of harvesting machinery are as follows: First, the operating object is biological; second, the working process refers to the separation between plant tissues or the separation of a plant from soil; and third, the working environment is unstructured. Therefore, efficient harvesting machinery is an area of comprehensive research that integrates the fields of mechanical and biological material, information, and computers. This Special Issue focuses on precise identification and positioning systems (“eyes”), sensitive decision-making and control systems (“brain”), highly adaptable chassis and mobile platforms (“feet”), efficient end-effectors and harvesting components (“hands”), etc., that are related to efficient harvesting machinery. Outstanding articles will be selected to showcase the latest ideas and to provide key technological references for research on efficient harvesting machinery.
Potential topics include but are not limited to the following:
- Crop–soil–machine systems;
- Mechanics and dynamics of harvesting machinery;
- Chassis of harvesting machinery;
- Efficient harvesting components;
- Field environment sensing and recognition;
- Navigation and positioning systems of harvesting machinery;
- Multi-source information fusion, analysis, and decision making in harvesting operations;
- Cooperative harvesting operations of multiple machines in the field;
- Unmanned harvesters.
Dr. Cheng Shen
Prof. Dr. Zhong Tang
Prof. Dr. Maohua Xiao
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 2000 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.
- smart agriculture
- intelligent agricultural equipment
- efficient harvesting
- harvester chassis
- image recognition
- decision and control algorithms