Sensor network based irrigation system for real time irrigation scheduling in vegetable crops under different methods of irrigation

JITENDRA KUMAR; NEELAM PATEL; T B S RAJPUT; MUKESH KUMAR

doi:10.56093/ijas.v86i11.62910

Authors

JITENDRA KUMAR ICAR-Indian Agricultural Research Institute, New Delhi 110 012
NEELAM PATEL ICAR-Indian Agricultural Research Institute, New Delhi 110 012
T B S RAJPUT ICAR-Indian Agricultural Research Institute, New Delhi 110 012
MUKESH KUMAR Indira Gandhi National Open University, New Delhi 110 068

https://doi.org/10.56093/ijas.v86i11.62910

Keywords:

GSM, Irrigation, Mobile phone, SMS, Soil moisture sensor

Abstract

Soil moisture sensor based irrigation scheduling is relatively a new concept in India. A soil moisture sensor based wireless irrigation system was designed, developed and tested during the years 2013-15 in vegetable crops, i. e. okra, tomato, brinjal, broccoli, potato, and knol-khol on the research farm of the Precision Farming Development Centre, Water Technology Centre, Indian Agricultural Research Institute, New Delhi, India. A network of sensors was integrated with a wireless system having modified tensiometer, level sensor, controller, GSM receiver, transmitter, solenoid valve, water meter, and pump for automated irrigation scheduling. The sensor network, global system for mobile communication (GSM) and short message service (SMS) carried the data from the sensors to the user through a mobile set. This system allows the user to effectively monitor and control water application in the field via sensors and/or through a mobile phone set by sending a command in the form of message and obtaining the moisture status in the field.

Downloads

Download data is not yet available.

References

Abraham N, Hema, P S, Saritha E K and Subramannian S. 2000. Irrigation automation based on soil electrical conductivity and leaf temperature. Agricultural Water Management 45(2): 145– 57. DOI: https://doi.org/10.1016/S0378-3774(99)00078-5

Christy C D. 2008. Real-time measurement of soil attributes using on-the-go near infrared reflectance spectroscopy. Computers and Electronics in Agriculture 61: 10–9. DOI: https://doi.org/10.1016/j.compag.2007.02.010

Cristi F, Fierro V, Suarez F, Munoz J F and Hausner M B. 2016. A TDR-waveform approach to estimate soil water content in electrically conductive soils. Computer and Electronics in Agriculture 121: 160–8. DOI: https://doi.org/10.1016/j.compag.2015.12.004

Central Water Commission (CWC). 2011. Water Resources at a Glance, New Delhi. (Available at: http://www.cwc.nic.in).

Dukes M D and Scholberg J M. 2005. Soil moisture controlled subsurface drip irrigation on sandy soils. Applied Engineering in Agriculture 21(1): 89–101. DOI: https://doi.org/10.13031/2013.17916

Dursun M and Semih O. 2011. A wireless application of drip irrigation automation supported by soil moisture sensors. Scientific Research and Essays 6: 1 573–82.

Elmaloglou S, Soulis K X and Dercas N. 2013. Simulation of soil water dynamics under surface drip irrigation from equidistant line source. Water Resources Management 27: 4 131–48. DOI: https://doi.org/10.1007/s11269-013-0399-8

Fisher D K and Kebede H. 2010. A low-cost microcontroller-based system to monitor crop temperature and water status. Computers and Electronics in Agriculture 74: 168–73. DOI: https://doi.org/10.1016/j.compag.2010.07.006

Gaskin G J and Miller J D. 1996. Measurement of soil water content using a simplified impedance measuring technique. Journal of Agricultural Engineering Research 63: 153–60. DOI: https://doi.org/10.1006/jaer.1996.0017

Grant O M, Davies M J, Longbottom H and Atkinson C J. 2009. Irrigation scheduling and irrigation systems: optimising irrigation efficiency for container ornamental shrubs. Irrigation Science 27: 139–53. DOI: https://doi.org/10.1007/s00271-008-0128-x

Greenwood D J, Zhang K, Hilton H W and Thompson A J. 2010. Opportunities for improving irrigation efficiency with quantitative models, soil water sensors and wireless technology. Journal of Agricultural Science 148: 1–16. DOI: https://doi.org/10.1017/S0021859609990487

Joshi A, Tiwari K N and Banerjee S. 1999. Automated Irrigation controller Patent Application No. 6/Cal/99 dated 04-1-1999, IIT Kharagpur.

Joshi A, Tiwari K N and Banerjee S. 2002. Low cost computer controlled automated irrigation system. Patent Application No. 307/Cal/2002 dated 15-5-2002, IIT Kharagpur.

Kim Y and Evans R G. 2009. Software design for wireless sensor- based site-specific irrigation. Computers and Electronics in Agriculture 66: 159–65. DOI: https://doi.org/10.1016/j.compag.2009.01.007

Kumar M, Rajput T B S and Patel Neelam. 2014. Cost-effective baby corn (Zea mays) cultivation under drip fertigation. Indian Journal of Agricultural Sciences 84(5): 637–42.

Leib B G, Hattendorf M, Elliott T and Mattews G. 2002. Adoption and adaptation of scientific irrigation scheduling: Trends from Washington, USA as of 1998. Agricultural Water Management 55 pp 105–20. DOI: https://doi.org/10.1016/S0378-3774(01)00191-3

Lorite I J, Santos C, Garcia-Vila M, Carmona M A and Fereres E. 2014. Assessing irrigation scheme water use and farmers’ performance using wireless telemetry systems. Computer and Electronics in Agriculture 98: 193–204. DOI: https://doi.org/10.1016/j.compag.2013.08.007

Luthra S K, Kaledhonkar M J, Singh O P and Tyagi N K. 1997. Design and development of an auto-irrigation system. Agricultural Water Management 33: 169–81. DOI: https://doi.org/10.1016/S0378-3774(96)01292-9

Migliaccio K W, Morgan K T, Fraisse C, Vellidis G and Andreis J H. 2015. Performance evaluation of urban turf irrigation smartphone app. Computer and Electronics in Agriculture 118: 136–42. DOI: https://doi.org/10.1016/j.compag.2015.08.015

Miller G A, Farahani H J, Hassell R L, Khalilian A, Adelberg J W and Wells C E. 2014. Field evaluation and performance of capacitance probes for automated drip irrigation of watermelons. Agricultural Water Management 131: 124–34. DOI: https://doi.org/10.1016/j.agwat.2013.09.012

Ojha T, Mishra S and Raghuwanshi N S. 2015. Wireless sensor networks for agriculture : The state-of-the-art in practice and future challenges. Computer and Electronics in Agriculture 118: 66–84. DOI: https://doi.org/10.1016/j.compag.2015.08.011

Parsons L and Bandaranayake R. 2008. Performance of a new capacitance soil moisture probe in a sandy soil. Soil Science Society of America Journal 73(4): 1 378–85. DOI: https://doi.org/10.2136/sssaj2008.0264

Pinmanee S, Spreer W, Spohrer K, Ongprasert S and Müller J. 2011. Development of a low-cost Tensiometer driven irrigation control unit and evaluation of its suitability for irrigation of lychee trees in the uplands of Northern Thailand in a participatory approach. Journal of Horticulture and Foresty 3: 226–30.

Rajurkar G B, Patel N, Rajput T B S and Varghese C. 2015. Effect of deficit irrigation on growth and yield of drip irrigated cabbage. Indian Journal of Agricultural Sciences 85(2): 189– 93.

Richards L A. 1949. Methods of measuring soil moisture tension. Soil Science 68: 95–112. DOI: https://doi.org/10.1097/00010694-194907000-00008

Sivanappan R K. 2009. Development of micro-irrigation in India. Lecture note delivered in Winter School on Micro Irrigation, 4-24 March 2009, WTC, IARI, New Delhi.

Smith M, Allen R G, Monteith J L, Perrier A, Pereira L and Segeren A. 1992. Report of the expert consultation on procedures for revision of FAO guidelines for prediction of crop water requirements. UN-FAO, Rome, Italy, 54 p.

Susan A O, Martin A H, Steve R E and Paul D C. 2011. Evaluation of a wireless infrared thermometer with a narrow field of view. Computers and Electronics in Agriculture 76: 59–68. DOI: https://doi.org/10.1016/j.compag.2010.12.017

Soulis K X, Elmaloglou S and Dercas N. 2015. Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems. Computer and Electronics in Agriculture 148: 258–68. DOI: https://doi.org/10.1016/j.agwat.2014.10.015

Testezlaf R, Zazueta F S and Yeager T H. 1997. A real-time irrigation control system for greenhouses. Applied Engineering in Agriculture 13(3): 329–32. DOI: https://doi.org/10.13031/2013.21616

Vellidis G, Tucker M, Perry C, Kvien C and Bednarz C. 2008. A real-time wireless smart sensor array for scheduling irrigation. Computers and Electronics in Agriculture 61: 44–50. DOI: https://doi.org/10.1016/j.compag.2007.05.009