Application of Smart Agricultural Technologies in Mountain Farming Systems
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 1168
Special Issue Editors
Interests: precision agriculture; agricultural intelligent system; agricultural machinery; computer vision; deep learning; citrus; tea
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent agricultural equipment; agricultural robot; intelligent control technology; vehicle design; image processing; litchi; longan
Special Issues, Collections and Topics in MDPI journals
Interests: agricultural robotics; image processing; motion control; neural networks; artificial intelligence; pine apple
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As global agriculture evolves towards greater efficiency and sustainability, mountain farming systems face distinct challenges and opportunities. The development of mountain orchards and tea gardens is often hindered by factors such as complex terrain, high labor requirements, and low production efficiency. In response, the integration of smart agricultural technologies has emerged as a key solution for enhancing production efficiency, optimizing resource management, and fostering sustainable development.
This Special Issue will focus on the application of smart agricultural technologies in mountain orchards and tea gardens, exploring a wide array of innovative approaches, including harvesting, transportation, growth monitoring, field management, yield estimation, and post-harvest processing. By incorporating cutting-edge technologies such as deep learning, artificial intelligence, computer vision, machine learning, the internet of things, data analytics, automation, and robotics, smart agricultural systems can streamline operations, enabling precise and efficient management in complex terrains and dynamic environments.
The articles featured in this Special Issue will examine the customization, development, and deployment of these technologies, with a particular focus on how they address the unique challenges of mountain agriculture—such as terrain complexity, environmental adaptability, and labor shortages.
The aim of this collection is to provide innovative perspectives on advancing the transformation and sustainable development of mountain agriculture. We invite original research articles, reviews, and case studies that showcase the latest advancements and applications of smart agricultural technologies in design, implementation, and practical use within mountain orchards and tea gardens.
Prof. Dr. Weibin Wu
Prof. Dr. Jun Li
Dr. Jiehao Li
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. Agriculture 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 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
- precision agriculture
- agricultural intelligent system
- artificial intelligence
- harvesting machinery
- transportation machinery
- deep learning
- automation control
- growth monitoring
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