Evaluation of low-cost capacitive moisture sensors in three types of soils in the Cerrado, Brazil
DOI:
https://doi.org/10.13083/reveng.v30i1.14017Palavras-chave:
Soil water content, Electronic prototyping, Capacitance probeResumo
Soil moisture sensors enabled new automation and computerization solutions in agriculture. However, its use still requires prior calibrations to attest its accuracy to estimate soil moisture. Thus, in this study a prototype for soil moisture monitoring was developed using the capacitive sensor SKU:SEN0193 integrated with the Arduino microcontroller. The prototype was calibrated based on the relationship between volumetric moisture and sensor output voltage in deformed samples of Red-yellow Latosol (RYL), Regolitic Neosol (RN), and Red Latosol (RL) of the Cerrado region, Federal District, Brazil. The calibration of sensors resulted in a second-degree polynomial model with R² between 0.93 and 0.96 for RYL, 0.89 and 0.92 for RN, and 0.86 and 0.88 for RL. Root mean square errors (RMSE) of volumetric moisture were 0.08, 0.12, and 0.15 cm3.cm-3 for RYL, RN, and RL, respectively. Sensors at operating voltage of 5.00 V showed less variability of readings, with coefficient of variation (CV) between 0.21 and 1.54%, while sensors at 3.30 V showed CVs between 3.27 and 17.84%. It is recommended to calibrate the SKU:SEN0193 for each soil type in order to obtain reliable estimates of water content for RYL, RN, and RL.
Downloads
Referências
ADLA, S.; RAI, N. K.; KARUMANCHI, S. H.; TRIPATHI, S.; DISSE, M.; PANDE, S. Laboratory calibration and performance evaluation of low-cost capacitive and very low-cost resistive soil moisture sensors. Sensors, v. 20, n. 263, p. 1-27, 2020.
BURKE, S. Regression and Calibration. LCGC Europe Online Supplement, 2020. Available in: https://www.webdepot.umontreal.ca/Usagers/sauves/MonDepotPublic/CHM%203103/LCGC%20Eur%20Burke%202001%20-%202%20de%204.pdf. Access in: Dec. 14, 2020.
CHAN, K.; SCHILLEREFF, D. N.; BAAS, A. C. W.; CHADWICK, M. A.; MAIN, B.; MULLIGAN, M. Low-cost electronic sensors for environmental research: pitfalls and opportunities. Progress in Physical Geography, v. 25, p. 1-34, 2020.
CARR, J. J.; BROWN, J. M. Basic Theories of Measurement. In Introduction to Biomedical Equipment Technology. 4ª ed. Londres: Pearson, 2001.
COELHO, E.F.; VELLAME, L.M.; COELHO FILHO, M.A.; LEDO, C.A.S. Desempenho de modelos de calibração de guias de onda acopladas a TDR e a multiplexadores em três tipos de solos. Revista Brasileira de Ciência do Solo, v. 30, p. 23-30, 2006.
DOBRIYAL, P.; QURESHI, A.; BADOLA, R.; HUSSAIN, S. A. A review of the methods available for estimating soil moisture and its implications for water resource management. Journal of Hidrology, v. 458, p. 110-117, 2012.
DUKES, M. D.; ZOTARELLI, L.; MORGAN, K.T. Use of irrigation Technologies for vegetable crops in Florida. Horttechnology, v. 20, n. 1, p. 133-142, 2010.
HAUKE, J.; KOSSOWSKI, T. Comparison of values of Pearson’s and Spearman’s correlation coefficients on the same sets of data. Quaestiones Geographicae, v. 30, n. 2, 2011.
LEKSHMI, S.; SINGH, D. N.; BAGHINI, M. S. A critical review of soil moisture measurement. Measurement, v. 54, p. 92-105, 2014.
LIMA, J. G. A.; OLIVEIRA, A. S.; SOUZA, L. S.; SILVA, N. D.; VIANA, P. C. Calibration of soil a soil moisture sensor with disturbed and undisturbed soil samples from Bahia. Revista Brasileira de Engenharia Agrícola e Ambiental, v. 22, n. 10, p. 696-701, 2018.
NAGAHAJE, E. A. A. D.; NAGAHAJE, I. S. P.; FUJINO, T. Calibration and validation of a low-cost capacitive moisture sensor to integrate the automated soil moisture monitoring system. Agriculture, v. 9, n. 141, p. 1-10, 2019.
PLACIDI, P.; GASPERINI, L.; GRASSI, A.; CECCONI, M.; SCORZONI, A. Characterizarion of low-cost capacitive soil moisture sensors for IoT networks. Sensors, v. 20, n. 3585, p. 1-14, 2020.
RADI, M.; NGADISIH, M. F. S.; NUHA, M. S.; RIZQI, F. A. Calibration of capacitive soil moisture sensor (SKU:SEN0193). In: INTERNATIONAL CONFERENCE ON SCIENCE AND TECHNOLOGY (ICST), 4., 2018, Yogyakarta. Proceedins[…]. Yogyakarta: ICST, 2018.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.
Autores que publicam nesta revista concordam com os seguintes termos:
O(s) autor(es) autoriza(m) a publicação do texto na da revista;
O(s) autor(es) garantem que a contribuição é original e inédita e que não está em processo de avaliação em outra(s) revista(s);
A revista não se responsabiliza pelas opiniões, ideias e conceitos emitidos nos textos, por serem de inteira responsabilidade de seu(s) autor(es);
É reservado aos editores o direito de proceder a ajustes textuais e de adequação às normas da publicação.
A partir da submissão, o autor estará cedendo integralmente seus direitos patrimoniais da obra à publicação, permanecendo detentor de seus direitos morais (autoria e identificação na obra) e de acordo com a Licença Creative Commons, CC BY-NC.