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Precision Management to Promote Fruit Yield and Quality in Orchards
This special issue belongs to the section “Precision and Digital Agriculture“.
Special Issue Information
Dear Colleagues,
Precision Agriculture technologies are being increasingly adopted to promote resource efficiency, productivity, and quality. As these are especially important objectives in orchards, any tools and management methods that enhance fruit yield and quality are of great interest to fruit growers and advisers. This Special Issue will collect the most recent advances in the fruit sector as a result of successfully applying methods to achieve an optimal balance of this double production-quality objective. Proximal and remote sensors for vegetation monitoring, machine learning, and artificial intelligence for data analysis and decision-making, and variable-rate technologies for efficient input application are the most relevant aspects that are included in this Special Issue.
Dr. Jaume Arnó
Prof. Dr. José A. Martínez-Casasnovas
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. 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
- precision horticulture
- proximal and remote sensing
- machine learning in fruit growing
- variable-rate technology
- artificial intelligence
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