2026-04-17T09:37:33Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/83562024-01-17T10:53:10Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848

00925njm 22002777a 4500 dc Cambra Baseca, Carlos author Sendra, Sandra author Lloret, Jaime author Tomás, Jesús author 2019 New technologies have the potential to transform agriculture and to reduce environmental impact through a green revolution. Internet of Things (IoT)-based application development platforms have the potential to run farm management tools capable of monitoring real-time events when integrated into interactive innovation models for fertirrigation. Their capabilities must extend to flexible reconfiguration of programmed actions. IoT platforms require complex smart decision-making systems based on data-analysis and data mining of big data sets. In this paper, the advantages are demonstrated of a powerful tool that applies real-time decisions from data such as variable rate irrigation, and selected parameters from field and weather conditions. The field parameters, the index vegetation (estimated using aerial images), and the irrigation events, such as flow level, pressure level, and wind speed, are periodically sampled. Data is processed in a decision-making system based on learning prediction rules in conjunction with the Drools rule engine. The multimedia platform can be remotely controlled, and offers a smart farming open data network with shared restriction levels for information exchange oriented to farmers, the fertilizer provider, and agricultural technicians that should provide the farmer with added value in the form of better decision making or more efficient exploitation operations and management. 2073-4395 http://hdl.handle.net/10259/8356 10.3390/agronomy9050216 2073-4395 Smart farming IoT farming Agriculture smart system WSN agriculture Digital farming A Smart Decision System for Digital Farming