CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture
The application of new technologies in precision agriculture offers 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...
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MDPI AG
2020-01-01
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Series: | Agronomy |
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Online Access: | https://www.mdpi.com/2073-4395/10/1/128 |
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author | María Gyomar González-González Juan Gómez-Sanchis Jose Blasco Emilio Soria-Olivas Patricia Chueca |
author_facet | María Gyomar González-González Juan Gómez-Sanchis Jose Blasco Emilio Soria-Olivas Patricia Chueca |
author_sort | María Gyomar González-González |
collection | DOAJ |
description | The application of new technologies in precision agriculture offers 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 efficiency. 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 different varieties and variable production was chosen. The maps, tables and graphs showing different crop data were generated automatically by CitrusYield from the analysis of the data collected. The main advantage of knowing the differences 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. |
first_indexed | 2024-12-20T14:01:00Z |
format | Article |
id | doaj.art-ee295c40df5b4e4d8dc1e065702cb2b1 |
institution | Directory Open Access Journal |
issn | 2073-4395 |
language | English |
last_indexed | 2024-12-20T14:01:00Z |
publishDate | 2020-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Agronomy |
spelling | doaj.art-ee295c40df5b4e4d8dc1e065702cb2b12022-12-21T19:38:22ZengMDPI AGAgronomy2073-43952020-01-0110112810.3390/agronomy10010128agronomy10010128CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision AgricultureMaría Gyomar González-González0Juan Gómez-Sanchis1Jose Blasco2Emilio Soria-Olivas3Patricia Chueca4Centro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), CV-315, km 10,7, 46113 Moncada, Valencia, SpainIntelligent Data Analysis Laboratory (IDAL), Escola Tècnica Superior d’Enginyeria, Universitat de València, Avinguda de la Universitat, 46100 Burjassot, Valencia, SpainCentro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), CV-315, km 10,7, 46113 Moncada, Valencia, SpainIntelligent Data Analysis Laboratory (IDAL), Escola Tècnica Superior d’Enginyeria, Universitat de València, Avinguda de la Universitat, 46100 Burjassot, Valencia, SpainCentro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), CV-315, km 10,7, 46113 Moncada, Valencia, SpainThe application of new technologies in precision agriculture offers 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 efficiency. 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 different varieties and variable production was chosen. The maps, tables and graphs showing different crop data were generated automatically by CitrusYield from the analysis of the data collected. The main advantage of knowing the differences 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.https://www.mdpi.com/2073-4395/10/1/128ictgisiotr softwaredata analysisspatial variability |
spellingShingle | María Gyomar González-González Juan Gómez-Sanchis Jose Blasco Emilio Soria-Olivas Patricia Chueca CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture Agronomy ict gis iot r software data analysis spatial variability |
title | CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture |
title_full | CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture |
title_fullStr | CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture |
title_full_unstemmed | CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture |
title_short | CitrusYield: A Dashboard for Mapping Yield and Fruit Quality of Citrus in Precision Agriculture |
title_sort | citrusyield a dashboard for mapping yield and fruit quality of citrus in precision agriculture |
topic | ict gis iot r software data analysis spatial variability |
url | https://www.mdpi.com/2073-4395/10/1/128 |
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