Journal
AGRONOMY-BASEL
Volume 9, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/agronomy9050216
Keywords
smart farming; IoT farming; agriculture smart system; WSN agriculture; digital farming
Categories
Funding
- European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project [ERANETMED3-227 SMARTWATIR]
- Ministerio de Ciencia, Innovacion y Universidades through the Ayudas para la adquisicion de equipamiento cientifico-tecnico, Subprograma estatal de infraestructuras de investigacion y equipamiento cientifico-tecnico (plan Estatal i+) [EQC2018-004988-P]
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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.
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