Artificial Intelligence for Agricultural Robotics
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: closed (30 July 2021) | Viewed by 14889
Special Issue Editors
Interests: machine vision and robotics in agricultural applications
Special Issue Information
Dear Colleagues,
Global demand for agricultural products is growing rapidly. To meet this demand for food, feed, fuel and fibres, it is expected production will need to grow 50% by 2050. At the same time, labour shortages in agriculture are increasing due to an aging rural workforce, urbanization, and tough working conditions. To meet increasing demands with diminishing labour, there is a strong pressure to increase agricultural productivity. Artificial intelligence (AI) and robotics holds the potential to play a large role in this transformation. Despite increasing mechanisation and sophistication, many agricultural tasks are still dominated by human labour.
Recent advances in AI and robotics create new opportunities for addressing three significant challenges in automating agriculture. The first lies in dealing with various types of variation; natural variation in the plants and produce, variation in environmental conditions, variation in cultivation systems, and variation in the tasks that need to be performed. Secondly, robots have to deal with incomplete information caused by a complex, unpredictable, and evolving environment. Finally, agricultural robots need to be safe when interacting with humans, livestock, and delicate crops.
The goal of this Special Issue is to disseminate the state-of-the-art findings in AI and robotics for agriculture. We welcome contributions related to all aspects of AI and robotics for agriculture spanning perception, learning, planning, control, and manipulation. Similarly, contributions addressing any agricultural task are encouraged, such as soil preparation, autonomous weeding, monitoring and harvesting. Contributions must be evaluated in (or on data from) a real agricultural environment.
Dr. Gert Kootstra
Dr. Asher Bender
Guest Editors
Manuscript Submission Information
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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
- Agricultural robotics
- Artificial intelligence
- Machine learning
- Perception
- Planning
- Control
- Robotic learning
- Manipulation
- Harvesting
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