Precision Management to Promote Fruit Yield and Quality in Orchards
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 21507
Special Issue Editors
Interests: precision agriculture; geostatistics and spatial data analysis; sampling for fruit yield estimation; machine learning applications in fruit growing
Special Issues, Collections and Topics in MDPI journals
Interests: precision agriculture; remote sensing; digital soil mapping; spatial data analysis; site-specific crop management
Special Issues, Collections and Topics in MDPI journals
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
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Keywords
- precision horticulture
- proximal and remote sensing
- machine learning in fruit growing
- variable-rate technology
- artificial intelligence
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