RT info:eu-repo/semantics/article
T1 A Smart Decision System for Digital Farming
A1 Cambra Baseca, Carlos
A1 Sendra, Sandra
A1 Lloret, Jaime
A1 Tomás, Jesús
K1 Smart farming
K1 IoT farming
K1 Agriculture smart system
K1 WSN agriculture
K1 Digital farming
K1 Ingeniería civil
K1 Civil engineering
K1 Informática
K1 Computer science
AB 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.
PB MDPI
SN 2073-4395
YR 2019
FD 2019
LK http://hdl.handle.net/10259/8356
UL http://hdl.handle.net/10259/8356
LA eng
NO This paper has been partially supported by the European Union through the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) project ERANETMED3-227 SMARTWATIR and by the “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).
DS Repositorio Institucional de la Universidad de Burgos
RD 09-may-2024