IJEP 41(3): 293-297 : Vol. 41 Issue. 3 (March 2021)
Karpagam Academy of Higher Education, Department of Civil Engineering, Coimbatore – 641 021, India
Abstract
Rapid growth in the Indian population leads a requirement of enhancement of food technology which makes a huge impact on the field of irrigation. In this study, irrigation water distribution from the Parambikulam Aliyar Project (PAP), Tamil Nadu which was accompanied by the Thirumoorthi reservoir and it covers four-zone patterns of 377152 acres was studied. Present canal network consists of main and branch canals, distributaries, water coarse and field channels. Loss of water is about 24-45% was observed on the irrigation even though the canal lining is provided to improve the water carrying efficiency. In order to enhance the irrigation efficiency and further extending the area of irrigated land, implementation of micro-irrigation with automation techniques was adopted in the Parambikulam Aliyar project. Automated systems reduce the requirement of manpower and increase the application efficiency by applying the water directly on or below the soil surface near the root zone of the plant. The implementation of smart irrigations aids in reducing the theft and improper use of water and provides a centralized control valve in the system. It was concluded that the overall water use efficiency in a micro-irrigation system is about 85-93% which greatly reduces the amount of water loss.
Keywords
Micro-irrigation, Automated irrigation technique, Irrigation, Parambikulam Aliyar project
References
- Abdelraouf, R. E., et al. 2016. Modified design for drip irrigation system to improve the productivity of irrigation water and fertilizers distribution. Int. J. Chem. Tech., 9(9): 40-52.
- Kaluse, A., et al. 2016. Automatic drip irrigation system. Int. Res. J. Eng. Tech., 3(11): 696-698.
- Kaur, B., et al. 2016. A survey on smart drip irrigation system. Int. Res. J. Eng. Tech., 3(2): 100-102.
- Barkunan, S. R., et al. 2019. Smart sensor for automatic drip irrigation system for paddy cultivation. Computers Electrical Eng., 73: 180-193.
- Zeng, C., et al. 2013. Temporal changes in soil hydraulic conductivity with different soil types and irrigation methods. Geoderma., 193-194: 290-299.
- Ali, H. B., et al. 2017. Assessment of a new approach for systematic subsurface drip irrigation management. Int. J. Agronomy. 2017: 1-7.
- Ortega-Reiga, M., et al. 2017. Institutional and management implications of drip irrigation introduction in collective irrigation systems in Spain. Agric. Water Manage., 187: 164-172.
- Orum, J. E. et al. 2010. Farmer’s incentives to save water with new irrigation systems and water taxation – A case study of Serbian potato production. Agric. Water Manage., 98(3): 465-471.
- Wei, W., et al. .2019. The effect of development in water-saving irrigation techniques on spatial temporal variations in crop water footprint and bench-marking. J. Hydrol., 577.
- Patel, K., et al. 2010. Technical review: Drip irrigation system using wireless sensor network. Int. J. Computer Sci. Information Tech., 6(6): 5500-5502.
- Jain, P., et al. 2017. Irrigation management system with micro-controller application. IEEE. DOI: 10.1109/IEM ENTECH.2017.8076969.
- Ghodake, R. G. and A. O. Mulani. 2016. Sensor based automatic drip irrigation system. J. Res., 2(2): 53-56.
- Liao, R., et al. 2019. Micro-irrigation strategies to improve water-use efficiency of cherry trees in northern China. Agric. Water Manage., 221: 388-396.
- Koech, R. and P. Langat. 2018. Improving irrigation water use efficiency: A review of advances, challenges and opportunities in the Australian context. Water. 10(12): 1-17.
- Tupe, A. R., et al. 2015. Intelligent drip irrigation system. Int. J. Innovative Res. Adv. Eng., 2(2): 120-125.
- Çolaka, Y. B., et al. 2018. Yield and quality response of surface and subsurface drip-irrigated eggplant and comparison of net returns. Agric. Water Manage., 206: 165-175.
