Title
A web decision support system for banana farmers centralizing information from different weather stations
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
This paper presents a decision support system (DSS) to convert climate data from different local sources into projections of growth, flowering and harvest of banana crop. This web system was developed with open source tools such as python and Node.js, the DSS includes remote data acquisition from different weather stations through APIS or wireless connection with new protocols for IoT such as LoRaWAN, the information is stored in a MYSQL database. With this system the farmer will be able to forecast some performance indicators of his production such as potential leaf emission rate and potential bunch growth rate up to the current date.
Language
English
OCDE Knowledge area
Ciencias de las plantas, Botánica
Meteorología y ciencias atmosféricas
Agricultura
Subjects
Scopus EID
2-s2.0-85134194750
ISBN
9781665405737
Resource of which it is part
2021 IEEE International Conference on Aerospace and Signal Processing, INCAS 2021
ISBN of the container
978-166540573-7
Sponsor(s)
I. Belupú and W. Ipanaqué acknowledge the financial support of Concytec - World Bank Project Improvement and Expansion of the Services of the National System of Science, Technology and Technological Innovation 8682-PE, through its executing unit ProCiencia. [contract number 06-2018-FONDECYT/BM].
ACKNOWLEDGMENT I. Belupú and W. Ipanaqué acknowledge the financial support of Concytec - World Bank Project ”Improvement and Expansion of the Services of the National System of Science, Technology and Technological Innovation” 8682-PE, through its executing unit ProCiencia. [contract number 06-2018-FONDECYT/BM].
Sources of information:
Directorio de Producción Científica
Scopus