Research Advances in Perception for Agricultural Robots
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 15 October 2024 | Viewed by 63
Special Issue Editors
Interests: robotics; robotic vision; deep learning; robot navigation; field robot; agricultural robot; manipulation robot; SLAM
Interests: agricultural robotics; adaptive grasping; soft robotics; robot sensing and perception
Special Issue Information
Dear Colleagues,
Agricultural robots are becoming an integral part of the farming industry, offering solutions to shortages, and improving production efficiency. However, integrating them into existing farming practices or exploring new agricultural applications presents challenges, requiring environmental awareness, adaptability to variations and compatibility with existing systems. The complexity of the agricultural environment, characterized by unstructured nature and other factors, is a major challenge. Safety for operators and crops is also vital/ critical, especially in dynamic and complex environments. Overcoming these challenges is crucial for realizing the full potential of agricultural robots.
This Special Issue aims to publish original, peer-reviewed papers on state-of-the-art smart sensing and perception technologies and their practical applications in agricultural robotic systems. These papers will encompass various artificial intelligence methodologies applied to different robotic platforms, including flying and ground-based systems, with a particular focus on their advanced perceptual and cognitive capabilities. These technologies will be explored for applications in smart agriculture, spanning livestock, horticulture, forestry and related fields. Articles related to smart robots in agriculture are encouraged, highlighting innovations in software and hardware development. Submissions in the form of original research, short communications and comprehensive reviews are welcome.
Dr. Hanwen Kang
Dr. Hugh Zhou
Dr. Yaohui Chen
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
- robotics
- machine learning
- deep learning
- computer vision
- perception
- navigation
- manipulation
