A Smart Decision System for Digital Farming
Metadatos
Mostrar el registro completo del ítemEditorial
MDPI
Materia
smart farming IoT farming agriculture smart system WSN agriculture digital farming
Fecha
2019-04-27Referencia bibliográfica
Cambra Baseca, C., Sendra, S., Lloret, J., & Tomas, J. (2019). A Smart Decision System for Digital Farming. Agronomy, 9(5), 216. [doi:10.3390/agronomy9050216]
Patrocinador
ERANETMED3-227 SMARTWATIR; “Ministerio de Ciencia, Innovación y Universidades” through the “Ayudas para la adquisición de equipamiento científico-técnico, Subprograma estatal de infraestructuras de investigación y equipamiento científico-técnico (plan Estatal i+d+i 2017-2020)” (project EQC2018-004988-P).Resumen
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 o ers 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 e cient
exploitation operations and management.