Special Issue "Smart Agriculture Based on Remote Sensing and Artificial Intelligence"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 15 December 2023 | Viewed by 1097
Special Issue Editors
Dr. Chongya Jiang
Interests: crop growth monitoring
Interests: crop mapping
Interests: crop yield prediction and phenotyping
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart agriculture leverages remote sensing to generate high-quality, timely, and actionable insights into farmlands, leading to improved crop yield, efficient use of resources, and sustainable practices. Remote sensing data for smart agriculture have the characteristics of multiple varieties, large volumes, and diverse application requirements. It is therefore necessary to adopt innovative technologies to process and manage remote sensing data and to extract and understand agricultural information in order to provide better basis for smart agriculture decision making. The use of artificial intelligence methods, in particular, deep learning methods, has become one of the most powerful tools in recent years. The unified, reliable, and easy implementation characteristics of artificial intelligence provide a new approach to exploitation and utilization of remote sensing data for smarter agriculture.
In this context, this Special Issue aims to explore the recent advances in remote sensing technologies and applications and artificial intelligence in the agriculture domain, with a focus on crops. Papers of a theoretical, technical, and applicative nature are welcome. Data sources could be from remote sensors on various platforms including ground-based, proximal, drone, aircraft, and satellites. Topics of interest include but are not limited to:
- AI for crop type and soil mapping;
- AI for crop growth monitoring;
- AI for crop growth modeling;
- AI for crop yield prediction;
- AI for stress/weed/disease/insect detection;
- AI for decision making of management practices;
- AI for tractor/robot navigation/operations;
- AI for phenotyping.
We look forward to seeing your contributions to this Special Issue.
Dr. Chongya Jiang
Dr. Zhan Li
Dr. Zhou Zhang
Dr. Wang Zhou
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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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
- smart agriculture
- remote sensing
- artificial intelligence
