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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(7): 3315-3319
DOI: https://doi.org/10.20546/ijcmas.2020.907.387


Optimization of Irrigation Scheduling under Different Types of Automated Drip Irrigation System for Tomato
K. Nagarajan1*, S. P. Ramanathan2, G. Thiyagarajan1* and S. Panneerselvam1
1Water Technology Centre, Tamil Nadu Agricultural University, Coimbatore – 641 003, India
2Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore – 641 003, India
*Corresponding author
Abstract:

Water is a vital commodity and it is essentially used for maximizing crop production and productivity. Drip irrigation is gaining popular among the farmers because of its high efficiency and productivity. This study was conducted during the Kharif season of 2018 and 2019 to find the best automated drip irrigation system among the time based, volume based, soil moisture sensor based and tensiometer based drip irrigation in comparison with conventional drip irrigation system. The design adopted was randomized block design with four replications. From the results, it can be concluded that the soil moisture sensor based drip irrigation system was found to be performing better when compared to other types both in terms of yield (99 t ha-1) and water use efficiency (2.52 t ha-1 cm-1). Hence, irrigation scheduling based on the soil moisture availability of the soil is the most superior over other methods.


Keywords: Automation; Irrigation scheduling; Soil moisture sensor; Tensiometer; Time based; Volume based
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How to cite this article:

Nagarajan, K., S. P. Ramanathan, G. Thiyagarajan and Panneerselvam, S. 2020. Optimization of Irrigation Scheduling under Different Types of Automated Drip Irrigation System for Tomato.Int.J.Curr.Microbiol.App.Sci. 9(7): 3315-3319. doi: https://doi.org/10.20546/ijcmas.2020.907.387