Innovations and Prospects for Future Agriculture: Applications of Machine Learning and AI in Crop Breeding

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 11

Special Issue Editors


E-Mail Website
Guest Editor
Department of Statistics, Federal University of Viçosa, Viçosa 36570-260, MG, Brazil
Interests: genomic selection; association analysis; applied statistics; plant breeding; multivariate statistics; regression models; computational intelligence; adaptability and stability; mixed model
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Departamento de Estatística, Universidade Federal de Viçosa, Viçosa 36570-260, MG, Brazil
Interests: genomic selection; association analysis; applied statistics; plant breeding; multivariate statistics; regression models; computational intelligence; adaptability and stability; mixed model

Special Issue Information

Dear Colleagues,

The integration of machine learning (ML) and artificial intelligence (AI) into plant breeding represents a significant leap forward, driven by the historical imperative to enhance agricultural productivity and resilience. Faced with the challenges of feeding a global population amidst the growing pressures of climate change and dwindling natural resources, the application of computational intelligence offers opportunities. This Special Issue aims to explore the scope of how ML and AI can improve plant breeding practices. We seek to showcase cutting-edge research that demonstrates novel algorithms, methodologies, and applications of AI and ML in areas such as precision phenotyping, genomic selection, disease and pest resistance breeding, stress tolerance enhancement, and the optimization of breeding programs. We are soliciting original research articles, reviews, and perspectives that highlight innovative approaches, significant findings, and future directions in this rapidly evolving field.

Prof. Dr. Moysés Nascimento
Dr. Ana Carolina Nascimento
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

  • computational intelligence
  • plant breeding
  • climate changes
  • precision phenotyping
  • genomic selection

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Published Papers

This special issue is now open for submission.
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