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A Smart Decision System for Digital Farming

Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Civil, Escuela Politécnica Superior, Universidad de Burgos, 09006 Burgos, Spain
Department of Signal Theory, Telematics and Communications, Universidad de Granada, 18071 Granada, Spain
Instituto de Investigación para la Gestión Integrada de zonas Costeras, Universitat Politècnica de València, 46730 Valencia, Spain
Author to whom correspondence should be addressed.
Agronomy 2019, 9(5), 216;
Received: 26 January 2019 / Revised: 21 April 2019 / Accepted: 23 April 2019 / Published: 27 April 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. View Full-Text
Keywords: smart farming; IoT farming; agriculture smart system; WSN agriculture; digital farming smart farming; IoT farming; agriculture smart system; WSN agriculture; digital farming
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MDPI and ACS Style

Cambra Baseca, C.; Sendra, S.; Lloret, J.; Tomas, J. A Smart Decision System for Digital Farming. Agronomy 2019, 9, 216.

AMA Style

Cambra Baseca C, Sendra S, Lloret J, Tomas J. A Smart Decision System for Digital Farming. Agronomy. 2019; 9(5):216.

Chicago/Turabian Style

Cambra Baseca, Carlos, Sandra Sendra, Jaime Lloret, and Jesus Tomas. 2019. "A Smart Decision System for Digital Farming" Agronomy 9, no. 5: 216.

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