Special Issue "Acquire and Perceive: Novel Approaches for Imaging-Based Plant Phenotyping"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Dr. Aharon Bar-Hillel
Website
Guest Editor
Ben-Gurion University of the Negev, P.O.B. 653 Beer-Sheva 8410501, Israel
Interests: computer vision; machine learning; plant phenotyping; deep learning aspects: explain-ability; efficient inference; modular networks
Dr. Mario Valerio Giuffrida
Website
Guest Editor
School of Computing, Edinburgh Napier University, 10 Colinton Road, Edinburgh, EH16 6DH, UK
Interests: computer vision; machine learning; deep learning; plant phenotyping
Dr. Iftach Klapp
Website
Guest Editor
Information and Mechanization Engineering, Department of Sensing, Institute of Agricultural Engineering, Agricultural Research Organization the Volcani Center, p.o.b. 6, Bet Dagan, 50250 Israel
Interests: environmental optical acquisition for agriculture tasks; computational optics; optical design inverse problems; learning

Special Issue Information

Plants are the fundamental source of food for people, livestock, and all live species on earth. The growth in the human population, with 10 billion people expected by 2050, requires an increase of 50% in agriculture production. Crop optimization is approached by multiple means, including automation of agricultural operations and improved plant breeding process, creating an urgent need for plant trait analysis and phenotyping. However, manual plant analysis is tedious, often destructive for the plant, and non-scalable. With improved sensors and recent advances in machine learning (especially deep learning), imaging-based plant analysis provides a promising alternative, with a growing impact.

This Special Issue invites cutting-edge contributions concerning all aspects of the imaging-based plant analysis challenge. Image acquisition is one topic that is of particular interest. Agriculture monitoring is done in complex and changing illumination conditions, often with modalities beyond RGB, such as depth or hyperspectral data. Papers considering illumination condition, illumination design, and joint illumination, as well as acquisition algorithms, sensor fusion, or image processing design, are encouraged. Another topic of interest is image perception—computer vision and machine learning techniques applied to plant analysis from images. Novel phenotyping tasks, as well as methods for improved accuracy, and/or robustness in existing tasks are welcome. Additional topics of interest include (but are not limited to) fine-grained phenotyping, flexibility and task transfer, and phenotype tracking in a time series. Furthermore, people wishing to discuss a topic of particular interest, to outline the next steps and challenges, are welcome to submit review/survey papers.

Dr. Aharon Bar-Hillel
Dr. Mario Valerio Giuffrida
Dr. Iftach Klapp
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 papers will be 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 2200 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

  • Plant phenotyping and acquisition
  • Computer vision
  • Machine learning/deep learning
  • Precision agriculture
  • Multi-modal imaging and sensor fusion
  • Joint illumination and image processing design
  • Acquisition and phenotype tracking in time series

Published Papers

This special issue is now open for submission.
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