Agrotechnics in Seed Quality: Current Progress and Challenges

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Plant-Crop Biology and Biochemistry".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 174

Special Issue Editors


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Guest Editor
Laboratory of Radiobiology and Environment, Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba 13416-000, SP, Brazil
Interests: non-destructive methods; seed quality; imaging technology; multispectral imaging; radiography; fluorescence; seed-borne fungi
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Guest Editor
Department of Crop Science, College of Agricultural Sciences, São Paulo State University, Botucatu 18610-034, SP, Brazil
Interests: seed physiology; molecular biology; imaging technology

Special Issue Information

Dear Colleagues,

Around the world, the seed industry has undergone many transformations driven by recent trends in digital agriculture, such as robust optical sensors, software, robotics, automation, and sophisticated data analyses. Sustainable methods have been developed based on non-destructive measurements without relying on human vision.

An important approach that has contributed to the implementation of digital solutions is the creation of machine learning models. These models can automatically diagnose the genetic, physical, chemical, physiological, and health attributes of seed quality. For example, knowledge of the electromagnetic properties of the seed tissues has enabled the non-invasive detection of mechanical damage, insects, and physiological disturbances in agricultural seeds.

This Special Issue focuses on the main technologies for autonomous seed quality screening, including spectroscopy, multispectral imaging, radiographs, and autofluorescence, among others, with an emphasis on agricultural challenges and current trends to assess seed quality parameters.

Dr. Clíssia Barboza Mastrangelo
Dr. Edvaldo Aparecido Amaral Da Silva
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. 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

  • multispectral imaging
  • spectroscopy
  • fluorescence
  • radiography
  • hyperspectral image
  • tomography
  • magnetic resonance
  • machine learning
  • seed vigor
  • fungi

Published Papers

This special issue is now open for submission.
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