CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture
The application of new technologies in precision agriculture o ers the possibility to link information to very specific crop locations. The spatial representation of these agricultural data through yield and fruit quality maps allows for crop management in a precise way that means that agricultur...
| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6410 https://www.mdpi.com/2073-4395/10/1/128 |
| Sumario: | The application of new technologies in precision agriculture o ers the possibility to link
information to very specific crop locations. The spatial representation of these agricultural data
through yield and fruit quality maps allows for crop management in a precise way that means
that agricultural operations may be carried out considering intraorchard variability, thus resulting
in greater e ciency. The aim of this work was to advance the development of new tools for the
generation of yield and quality maps for precision agriculture. A new tool was implemented for citrus
through a dashboard called CitrusYield that integrates the requirements demanded by technicians and
farmers in terms of spatial distribution and the quality of their citrus production. The data for testing
were collected by a prototype of a citrus harvest-assist platform. In order to obtain maps showing
heterogeneity of production, an experimental plot with di erent varieties and variable production
was chosen. The maps, tables and graphs showing di erent crop data were generated automatically
by CitrusYield from the analysis of the data collected. The main advantage of knowing the di erences
in production between the swaths and areas inside the crop is to provide the grower with precise
information to make accurate decisions for localised crop management, such as fertilisation, irrigation,
pest and disease control, etc. |
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