Advances in Digital Technologies for Precision Horticultural Crop Production

A special issue of Horticulturae (ISSN 2311-7524).

Deadline for manuscript submissions: 13 July 2026

Special Issue Editors


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Guest Editor
Xinjiang Agricultural University, Urumqi, China
Interests: intelligent agricultural machinery; intelligent-sensing; deep learning; agricultural robot

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Guest Editor
College of Horticulture, Xinjiang Agricultural University, Urumqi, China
Interests: agriculture environment
Department of Agricultural Engineering, Northwest A & F University, Xian 712100, China
Interests: bionic robotics; computer vision; precision agriculture
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Ministry of Agriculture of the People's Republic of China, Beijing, China
Interests: deep learning; Machine vision; agricultural robot; agricultural informatization; agricultural artificial intelligence

Special Issue Information

Precision horticulture is the core pathway to unlocking the high-yield potential of crops and achieving green, efficient production. The deep integration of advanced digital and intelligent technologies is fundamentally reshaping precision horticultural production models across the entire value chain—from environmental monitoring and growth regulation to harvest traceability. To focus on cutting-edge developments in the field, share innovative practices, and jointly explore challenges and solutions for technology implementation, this Special Issue calls for submissions of relevant research findings and practical case studies from global academic experts, industry practitioners, and research teams.

Submission topics include, but are not limited to, the following:

  • Innovative applications of IOT and sensor technologies in crop growth condition sensing.
  • Practical implementation of AI and big data in pest/disease early warning and precision water/fertilizer regulation.
  • Integrated use of drone remote sensing and intelligent equipment.
  • Explorations of digital twins in production scenario modeling.
  • Blockchain implementation solutions for product traceability.
  • R&D and large-scale deployment cases of smart irrigation systems, intelligent greenhouses, and related technologies.

Prof. Dr. Zhenguo Zhang
Prof. Hongjun Xu
Dr. Zhiguo Li
Dr. Xiangpeng Fan
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 250 words) can be sent to the Editorial Office for assessment.

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

  • precision horticulture
  • advanced digital smart technologies
  • crop production
  • smart agricultural machinery
  • intelligent sensing
  • precision control
  • artificial intelligence

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Published Papers

This special issue is now open for submission.
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