Artificial Intelligence in Horticulture Production

A special issue of Horticulturae (ISSN 2311-7524). This special issue belongs to the section "Protected Culture".

Deadline for manuscript submissions: 5 November 2024 | Viewed by 285

Special Issue Editors


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Guest Editor
Faculty of Agriculture and The United Graduate School of Agricultural Sciences, Ehime University, Matsuyama 790-8566, Ehime, Japan
Interests: horticulture; image processing; AI

E-Mail Website
Guest Editor
Faculty of Agriculture and The United Graduate School of Agricultural Sciences, Ehime University, Matsuyama 790-8566, Ehime, Japan
Interests: horticulture; image processing; AI

E-Mail Website
Guest Editor
School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China
Interests: fruit optimal harvest date estimation; fruit quality assessment using spectroscopy and image

Special Issue Information

Dear Colleagues,

Today, the agricultural sector faces huge challenges due to local and global ecological and political factors. However, to feed a growing world population, new approaches are needed to optimize resource allocation for precision agriculture, predictable production planning to ensure food security, and autonomous solutions for harvesting, processing and marketing of agricultural products. In this context, data-driven AI offers a wide range of application areas such as crop monitoring to detect diseases, nutrient deficiencies, pests, yield prediction, and price prediction. The papers in this Special Issue on “Artificial Intelligence in Horticulture Production” will focus on basic and applied research targeting AI in all stages of agriculture. This Special Issue will cover a number of topics of interest, including but not limited to:

  • AI for smart farming and agriculture;
  • AI-assisted automation;
  • AI-assisted real-time IoT data analytics;
  • Computer vision in agriculture;
  • Spatial AI-based agricultural robotics;
  • AI-based soil and plant nutrient analysis;
  • AI-based crop monitoring;
  • AI-assisted intelligent irrigation for agriculture;
  • AI-assisted phenotyping and genotyping;
  • AI-assisted livestock health monitoring;
  • AI in food supply chain;
  • AI-assisted predictive analytics for agriculture;
  • DL for managing security in IoT data processing;
  • DL for IoT attack detection and prevention.

Dr. Md Parvez Islam
Prof. Dr. Kenji Hatou
Dr. Xudong Sun
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. Horticulturae 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 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

  • smart farming
  • automation IoT data
  • computer vision
  • agricultural robotics
  • crop monitoring
  • intelligent irrigation
  • health monitoring
  • food supply chain
  • phenotyping and genotyping

Published Papers

This special issue is now open for submission.
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