000078795 001__ 78795
000078795 005__ 20200716101419.0
000078795 0247_ $$2doi$$a10.1016/j.compag.2019.03.029
000078795 0248_ $$2sideral$$a111129
000078795 037__ $$aART-2019-111129
000078795 041__ $$aeng
000078795 100__ $$0(orcid)0000-0003-4147-3616$$aGonzález-Buesa, Jaime$$uUniversidad de Zaragoza
000078795 245__ $$aAn Arduino-based low cost device for the measurement of the respiration rates of fruits and vegetables
000078795 260__ $$c2019
000078795 5060_ $$aAccess copy available to the general public$$fUnrestricted
000078795 5203_ $$aA modular device based on open source software was developed for the determination of the respiration rates of produce in a closed system. The advantages of this system include simplicity, adaptability and low cost. The respirometer allowed the continuous measurement of CO2 concentration, barometric and differential pressures, and temperature. With the data obtained it was possible to calculate the CO2 production rate and to predict the O2 consumption rate and the respiratory quotient of the product, without using an O2 sensor. To assess the function of the device, the O2 and CO2 respiration rates of three products were determined. The good agreement observed between the respiratory quotient and the differential pressure suggests the possibility of using the differential pressure data as a direct indicator of the respiratory quotient evolution. This data could also be useful for monitoring metabolic shifts.
000078795 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000078795 590__ $$a3.858$$b2019
000078795 592__ $$a1.058$$b2019
000078795 591__ $$aAGRICULTURE, MULTIDISCIPLINARY$$b5 / 58 = 0.086$$c2019$$dQ1$$eT1
000078795 593__ $$aAgronomy and Crop Science$$c2019$$dQ1
000078795 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b24 / 109 = 0.22$$c2019$$dQ1$$eT1
000078795 593__ $$aAnimal Science and Zoology$$c2019$$dQ1
000078795 593__ $$aHorticulture$$c2019$$dQ1
000078795 593__ $$aForestry$$c2019$$dQ1
000078795 593__ $$aComputer Science Applications$$c2019$$dQ1
000078795 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000078795 700__ $$0(orcid)0000-0001-6013-3399$$aSalvador Solano, María Luisa$$uUniversidad de Zaragoza
000078795 7102_ $$15005$$2555$$aUniversidad de Zaragoza$$bDpto. Ing.Quím.Tecnol.Med.Amb.$$cÁrea Ingeniería Química
000078795 7102_ $$12008$$2780$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Tecnología de Alimentos
000078795 773__ $$g162 (2019), 14-20$$pComput. electron. agric.$$tComputers and Electronics in Agriculture$$x0168-1699
000078795 8564_ $$s1712664$$uhttps://zaguan.unizar.es/record/78795/files/texto_completo.pdf$$yVersión publicada
000078795 8564_ $$s99877$$uhttps://zaguan.unizar.es/record/78795/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000078795 909CO $$ooai:zaguan.unizar.es:78795$$particulos$$pdriver
000078795 951__ $$a2020-07-16-08:39:37
000078795 980__ $$aARTICLE