Digital Agriculture Strategies to Guide Orchard Management for Premium Quality Fruits

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 44

Special Issue Editors


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Guest Editor
Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology-Hellas (CERTH), 38333 Volos, Greece
Interests: agricultural robotics; agricultural engineering; digital agriculture; artificial intelligence; operation managment; smart farming
Special Issues, Collections and Topics in MDPI journals

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Guest Editor

Special Issue Information

Dear Colleagues,

In today's fast-evolving agricultural landscape, the integration of digital technologies has become imperative for optimizing orchard management and ensuring the production of premium quality fruits. Digital agriculture strategies offer a multifaceted approach that leverages various technologies such as remote sensing, Internet of Things (IoT) devices, data analytics, and machine learning algorithms. These technologies enable farmers and orchard managers to monitor crucial factors like soil moisture levels, nutrient content, pest infestations, and weather patterns in real time, facilitating proactive decision-making to enhance fruit quality and yield. Moreover, the data-driven insights derived from digital strategies empower growers to adopt predictive models for disease and pest management, enabling timely interventions to mitigate risks and maintain the health and vitality of orchards. Overall, the adoption of digital agriculture strategies represents a transformative shift in orchard management practices, offering sustainable solutions to meet the demands for premium quality fruits in an increasingly competitive market.

This SI aims to collect the most valuable research on digital agriculture strategies in the field of orchard management. We welcome reviews and research papers on the following topics: Digital agriculture, Robotics, Orchard management, Precision farming, Sensor technology, Data analytics, Crop monitoring, IoT, Smart farming, Fruit quality assessment, Sustainable agriculture, Yield optimization and Real time monitoring.

Dr. Dimitrios Kateris
Prof. Dr. Dionysis Bochtis
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

  • digital agriculture
  • orchard management
  • premium quality fruits
  • precision farming
  • sensor technology
  • data analytics
  • crop monitoring
  • Internet of Things (IoT)
  • smart farming
  • fruit quality assessment
  • sustainable agriculture
  • yield optimization
  • real-time monitoring

Published Papers

This special issue is now open for submission.
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