Implementation of an Irrigation System to Estimate Water in Hydroponic Crops through Evapotranspiration
Abstract
Hydroponic crops is a special type of crop because it tries to reduce space and water use for certain plants. Normally, the estimation of the water of the crops in underdeveloped countries is made in a manual way generating waste of water. In the water estimation, ideal factors can be considered in which the crops carry out their biological process with a high yield. The hydric estimation can be measured as a function of the soil, the ambient temperature, the diameters of the roots, and the interspace between the plants. We consider carrying out the water estimation checking each plant to reach the correct progress of plants in the crop. We show an approach to integrating hardware and software components. The prototype is capable of calculating the evapotranspiration of crops and making a water estimation according to the several factors in each plant and the measured data from electronic sensors in order to reduce water in each irrigation. Additionally, the system allows the farmers to schedule the irrigation.
Downloads
References
B. K. Joe Stevens, “Trends and outlook: Agricultural water management in southern africa COUNTRY REPORT SOUTH AFRICA,” International Water Management Institute, pp. 10–18, 2015.
C. J. van der Kooi, M. Reich, M. Löw, L. J. De Kok, and M. Tausz, “Growth and yield stimulation under elevated CO2 and drought: A meta-analysis on crops,” Environmental and Experimental Botany, vol. 122, pp. 150–157, 2016.
S. Nonhebel, “The effects of use of average instead of daily weather data in crop growth simulation models,” Agricultural systems, vol. 44, no. 4, pp. 377–396, 1994.
Q. Zheng, F. Zhu, C. Mao, and X. Lv, “A smart irrigation decision support system based on cloud,” Undergraduate, Hohai University, Nanjing, China, pp. 1–10, 2014.
K. Daza, J. Hernandez, and H. Florez, “Hardware and software system for hydric estimation and crop irrigation scheduling,” in International conference on computational science and its applications, 2019, pp. 150–165.
P. Bradley and C. Marulanda, “Simplified hydroponics to reduce global hunger,” in World congress on soilless culture: Agriculture in the coming millennium 554, 2000, pp. 289–296.
C. Camp, “Subsurface drip irrigation: A review,” Transactions of the ASAE, vol. 41, no. 5, p. 1353, 1998.
R. Allen, L. Pereira, D. Raes, and M. Smith, “Guidelines for computing crop water requirements,” Geophysics, vol. 156, p. 178, 1998.
S. Irmak and D. Z. Haman, “Evapotranspiration: Potential or reference,” IFAS Extension, ABE, vol. 343, 2003.
J. Ritchie, “Soil water balance and plant water stress,” in Understanding options for agricultural production, Springer, 1998, pp. 41–54.
G. Hoogenboom et al., “Decision support system for agrotechnology transfer version 4.0,” University of Hawaii, Honolulu, HI (CD-ROM), 2004.
M. Gocic and S. Trajkovic, “Software for estimating reference evapotranspiration using limited weather data,” Computers and Electronics in Agriculture, vol. 71, no. 2, pp. 158–162, 2010.
S. Zhang, M. Wang, W. Shi, and W. Zheng, “Construction of intelligent water saving irrigation control system based on water balance,” IFAC-PapersOnLine, vol. 51, no. 17, pp. 466–471, 2018.
N. Shah and I. Das, “Precision irrigation sensor network based irrigation,” Problems, Perspectives and Challenges of Agricultural Water Management; InTech: Rijeka, Croatia, pp. 217–232, 2012.
S. M. Umair and R. Usman, “Automation of irrigation system using ANN based controller,” International Journal of Electrical & Computer Sciences IJECS-IJENS, vol. 10, no. 2, pp. 41–47, 2010.
S. Shamshirband et al., “Estimation of reference evapotranspiration using neural networks and cuckoo search algorithm,” Journal of Irrigation and Drainage Engineering, vol. 142, no. 2, p. 04015044, 2016.
G. Suciu, T. Ușurelu, C. M. Bălăceanu, and M. Anwar, “Adaptation of irrigation systems to current climate changes,” in International conference on business information systems, 2018, pp. 534–549.
L. Prisilla, P. Rooban, and L. Arockiam, “A novel method for water irrigation system for paddy fields using ANN,” IJCSN, 2012.
L. Zotarelli, M. D. Dukes, C. C. Romero, K. W. Migliaccio, and K. T. Morgan, “Step by step calculation of the penman-monteith evapotranspiration (FAO-56 method),” Institute of Food and Agricultural Sciences. University of Florida, 2010.
R. M. Machado and G. O. Maria do Rosàrio, “Tomato root distribution, yield and fruit quality under different subsurface drip irrigation regimes and depths,” Irrigation Science, vol. 24, no. 1, pp. 15–24, 2005.
S. Adams, K. Cockshull, and C. Cave, “Effect of temperature on the growth and development of tomato fruits,” Annals of Botany, vol. 88, no. 5, pp. 869–877, 2001.
C. Everhart, “The complete guide to growing tomatoes: A complete step-by-step guide including heirloom tomatoes (back-to-basics gardening).” Atlantic Publishing Group Inc. Ocala, Florida, 2010.
R. S. Ayers, D. W. Westcot, et al., Water quality for agriculture, vol. 29. Food; Agriculture Organization of the United Nations Rome, 1985.
Copyright (c) 2021 ParadigmPlus
This work is licensed under a Creative Commons Attribution 4.0 International License.
