Abstract
One of the essential practices in sugarcane crops in the Cauca river valley is the water application through irrigation. As the water supply from rainfall is not enough or its distribution is not appropriate to satisfy the water requirements of the crop and since the availability of water is reduced during the two seasons of low rainfall in the Cauca river valley, it is necessary to develop strategies to improve irrigation management. Timely programming of irrigation using sensors to monitor the matric potential of the soil is a strategy that contributes to this objective. In the Research Center of Sugar Cane of Colombia (Cenicaña) research has been undertaken to allow the development of technologies for the use of sensors for the irrigation management in sugarcane crops. The technology is composed by sensors inserted in the soil, the acquisition system, the storage and transmission of data, and the data management and visualization application. In addition, the criteria that must be taken into account for the use of this technology were determined. In a pilot phase, an IoT network was installed in fields cultivated with cane in the Cauca river valley, in order to measure the matric potential of the soil and use it for irrigation scheduling. The results obtained allowed to establish that the threshold to begin the cane crops irrigations is of −85 kPa. It was determined that the matric potential sensors are useful devices for the cane irrigation control, which can be permanently installed in the field to take information manually or automated.
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Bibliography
Bittelli, M.: Measuring soil water content: a review. Horttechnology 21(3), 293–300 (2011)
Kalita, H., Palaparthy, V.S., Baghini, M.S., Aslam, M.: Graphene quantum dot soil moisture sensor. Sens. Actuators B Chem. 233, 582–590 (2016)
Hillel, D.: Enviromental Soil Physics, p. 771. Acad. Press USES (1998)
Hincapié, E.: Claves para utilizar sensores en labores de riego. Carta Informativa, Centro de Investigación de la Caña de Azúcar 2(5), 6–7 (2017)
Topp, G.C., Davis, J.L., Annan, A.P.: Electromagnetic determination os soil-water content: Measurement in coaxial transmissions lines. Water Resour. Res. 16, 574–582 (1980)
Evett, S.R.: The TACQ computer program for automatic time domain reflectometry measurements: I. Design and operating characteristics. Trans. ASAE 43(6), 1939–1946 (2000)
McCarthy, A.C., Hancock, N.H., Raine, S.R.: Development and simulation of sensor-based irrigation control strategies for cotton using the VARIwise simulation framework. Comput. Electron. Agric. 101, 148–162 (2014)
Nolz, R., Kammerer, G., Cepuder, P.: Calibrating soil water potential sensors integrated into a wireless monitoring Network. Agric. Water Manag. 116, 12–20 (2013)
Pedro, C.M., Gimenez, A., Porto, L.F., Porto, L.H.: Principles and applications of a new class of soil water matric potential sensors: the dihedral tensiometer. Procedia Environ. Sci. 19, 484–493 (2013)
Evett, S.R., Schwartz, R.C., Casanova, J.J., Heng, L.K.: Soil water sensing for water balance. ET and WUE. Agric. Water Manag. 104, 1–9 (2012)
Paraskevopoulos, A.L., Singels, A.: Integrating soil water monitoring technology and weather based crop modelling to provide improved decision support for sugarcane irrigation management. Comput. Electron. Agric. 105, 44–53 (2014)
Wiedenfeld, B.: Scheduling water application on drip irrigated sugarcane. Agric. Water Manag. 64, 169–181 (2004)
Varble, J.L., Chávez, J.L.: Performance evaluation and calibration of soil water content and potential sensors for agricultural soils in eastern Colorado. Agric. Water Manag. 101, 93–106 (2011)
Blonquist, J.M., Jones, S.B., Robinson, D.A.: Precise irrigation scheduling for turfgrass using a subsurface electromagnetic soil moisture sensor. Agric. Water Manag. 84, 153–165 (2006)
Cardenas-Lailhacar, B., Dukes, M.D.: Precision of soil moisture sensor irrigation controllers under field conditions. Agric. Water Manag. 97, 666–672 (2010)
Moreno, L.P.: Respuesta de las plantas al estrés por déficit hídrico. Una revisión. Agron. Colomb. 27(2), 179–191 (2009)
Flores, W., Estrada, H., Jiménez, J., Pinzón, L.: Effect of water stress on growth and water use efficiency of tree seedlings of three deciduous species. Terra Latinoam. 30(4), 343–353 (2012)
Valente, A., Morais, R., Couto, C., Correia, J.H.: Modeling, simulation and testing of a silicon soil moisture sensor based on the dual-probe heat-pulse method. Sens. Actuators A Phys. 115(2–3), 434–439 (2004)
Ruiz Canales, A., Oates, M.J., Pérez Solano, J.J., Molina Martínez, J.M.: Sensores de bajo coste aplicados al control de los cultivos. interempresas.net (2018). https://www.interempresas.net/Horticola/Articulos/208300-Sensores-de-bajo-coste-aplicados-al-control-de-los-cultivos.html. Accessed 03 July 2018
Ivan-rios, J., Castro-silva, J.A.: Sistema de Riego Basado En La Internet De Las Cosas ( IoT), no. November 2017
Karim, F., Karim, F., Frihida, A.: Monitoring system using web of things in precision agriculture. In: 12th International Conference on Future Networks and Communications, vol. 110, pp. 402–409 (2017)
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Hincapié Gómez, E., Sánchez Benítez, J., Carbonell González, J.A. (2019). IoT Network Applied to Agriculture: Monitoring Stations for Irrigation Management in Soils Cultivated with Sugarcane. In: Corrales, J., Angelov, P., Iglesias, J. (eds) Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II. AACC 2018. Advances in Intelligent Systems and Computing, vol 893. Springer, Cham. https://doi.org/10.1007/978-3-030-04447-3_17
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