70941 20200108100346.0 doi 10.3390/s18051333 sideral 106488 ART-2018-106488 eng Cambra, C. Smart system for bicarbonate control in irrigation for hydroponic precision farming 2018 Access copy available to the general public Unrestricted Improving the sustainability in agriculture is nowadays an important challenge. The automation of irrigation processes via low-cost sensors can to spread technological advances in a sector very influenced by economical costs. This article presents an auto-calibrated pH sensor able to detect and adjust the imbalances in the pH levels of the nutrient solution used in hydroponic agriculture. The sensor is composed by a pH probe and a set of micropumps that sequentially pour the different liquid solutions to maintain the sensor calibration and the water samples from the channels that contain the nutrient solution. To implement our architecture, we use an auto-calibrated pH sensor connected to a wireless node. Several nodes compose our wireless sensor networks (WSN) to control our greenhouse. The sensors periodically measure the pH level of each hydroponic support and send the information to a data base (DB) which stores and analyzes the data to warn farmers about the measures. The data can then be accessed through a user-friendly, web-based interface that can be accessed through the Internet by using desktop or mobile devices. This paper also shows the design and test bench for both the auto-calibrated pH sensor and the wireless network to check their correct operation. info:eu-repo/grantAgreement/EC/FP7/609475/EU/EURO-MEDITERRANEAN Cooperation through ERANET joint activities and beyond/ERANETMED info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.031 2018 INSTRUMENTS & INSTRUMENTATION 15 / 61 = 0.246 2018 Q1 T1 CHEMISTRY, ANALYTICAL 23 / 84 = 0.274 2018 Q2 T1 ELECTROCHEMISTRY 12 / 26 = 0.462 2018 Q2 T2 0.592 2018 Analytical Chemistry 2018 Q2 Atomic and Molecular Physics, and Optics 2018 Q2 Medicine (miscellaneous) 2018 Q2 Electrical and Electronic Engineering 2018 Q2 Instrumentation 2018 Q2 Biochemistry 2018 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Sendra, S. Lloret, J. (orcid)0000-0002-4773-4904 Lacuesta, R. Universidad de Zaragoza 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 18, 5 (2018), 1333 [16 pp] Sensors Sensors (Switzerland) 1424-8220 769142 http://zaguan.unizar.es/record/70941/files/texto_completo.pdf Versión publicada 104539 http://zaguan.unizar.es/record/70941/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:70941 articulos driver 2020-01-08-09:30:15 ARTICLE