A web decision support system for banana farmers centralizing information from different weather stations

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.