Determining soil indices and water balance for scheduling an irrigation control center

Document Type : Research Paper

Authors

1 MSc Studentr, Dept. of Agricultural Machinery, College of Agriculture, Urmia University

2 Assistant Professor, Dept. of Agricultural Machinery, College of Agriculture, Urmia University

Abstract

Nowadays, the limitation of water resources are added on the importance of detailed planning including the estimated timing and amount of irrigation water. This is possible with considering the soil indices and water balance. The measured soil field capacity of some with two lab and field measurement methods were 21% and 19/8% respectively and the permanent wilting point were determined 12% as a result. Then an irrigiation control center was scheduled to stop irrigation when the soil moisture of pots reaches to 21% and start irrigation when moisture reaches to 12%. Control center use an inexpensive hygrometer YL-69 model that calibrated with a precise sensor WET-2 and the correlation between data were 0.994. Evaluation the accuracy of the YL-69 sensor in 5 moisture levels (21%, 18%, 15%, 12% and 9%) showed a correlation of 0.98 between measured and real moisture and proved it is possible to use the sensor to monitor the moisture around the plant root and hold the moisture in appropriate amount for optimum plant growth.

Keywords

Main Subjects


Afyuni, M., Cassel D.K. & Robarge W.P. (1993) Effects of landscape position on soil water and corn silage yield. Soil science society american journal (Vol. 57). (pp.1573-1580).
Alizadeh, A. (2008) Water, soil, plant. Astane ghodse razavi, 8th edition. (In Farsi)
Arba G., Puig-Bargués J., Duran-Ros M., Barragán J. & Ramirez F. (2013) Drip-irriwater: computer software to simulate soil wetting patterns under surface drip irrigation. Computers and electronics in agriculture (Vol. 93). (pp. 183–192)
Bouyoucos, G.J. (1964) Hydrometer method improved for making particle size analyses of soils. American society of agronomy (Vol. 54). (pp. 464-465)
Cheema, I., Chow, A. & Hansson, D. (2011) Soil Infiltration. Lund institute of technology, Lund University.
Coolong, T. (2013) Using irrigation to manage weeds : a focus on drip irrigation. Weed and pest control- conventional and new challenges- Chapter 7.
Diallo D. & Marico A. (2013) Field capacity (FC) and permanent wilty point (PWP) of clay soils developed on quaternary alluvium in niger river loop (Mali). International journal of engineering research and applications. 3(1), 1085-1089.
Dursun M. and Ozden S., 2011.  A wireless application of drip irrigation automation supported by soil moisture sensors, Scientific Research and Essays, Vol. 6(7), pp. 1573-1582.
Mahmodi, Sh. &  Hakimiyan, M. (2007) Pedology principle. University of Tehran press. 8th edition. (In Farsi)
Miller, R.W. (1990) An introduction to soils and plant growth. Prentice hall international editions.
Phogat V., Skewes  M.A., Mahadevan M. & Cox J.W. (2013) Evaluation  of  soil  plant  system  response  to  pulsed  drip  irrigation  of  an  almond tree  under  sustained  stress  conditions. Agricultural  water  management  (Vol. 118) (pp. 1–  11).
Ramah, K., Santhi P. & Thiyagarajan G. (2011) Moisture distribution pattern in drip irrigated maize based cropping system. Madras agricultural journal. 98(1/3), 51-55.
Revol, P.H., Clothier BE., Vachaud G. & Thony J.L. (1991) Predicting the field characteristics of trickle irrigation. Soil technology , 4(2), 125-134.
Riquelme A.J.L., Soto F., Suardíaz J., Sánchez P., Iborra A. and Vera J.A., (2009), Wireless Sensor Networks for precision horticulture in Southern Spain, Computers and Electronics in Agriculture, 68(1), 25–35.
Soltani, A. & Faraji, A. (2010) Water, soil, plant. Jahad daneshgahi Mashhad, second edition. (In Farsi)
Theophilo B. and Marta V. (2010), A variation of the Field Capacity (FC) definition and a FC database for Brazilian soils, World Congress of Soil Science, VOL:1-4.
Veihmeyer F.J. & Hendrickson A.H. (1949) Methods of measuring field capacity and permanent wilting percentages of soils. Soil science, 68(1), 75-94.
Zotarelli L., Dukes, M.D., Kelly and Morgan T.K. (2009) Interpretation of soil moisture content to determine soil field capacity and avoid over-irrigating sandy soils using soil moisture sensors. Institute of food and agricultural sciences, University of Florida. AE460.