International Journal for Asian Contemporary Research, 2(2): 50-57

Research Article

Precision Nitrogen Management in Corn (Zea mays L.) Using Algorithm Based on the RGB Color Codes by Digital Imaging

Abdur Razzak,
Abdur Razzak,

Farming Systems Engineering Laboratory, Department of Agronomy and Agricultural Extension, Rajshahi University, Bangladesh.

Bitopi Biswas,
Bitopi Biswas,

Farming Systems Engineering Laboratory, Department of Agronomy and Agricultural Extension, Rajshahi University, Bangladesh.

Tariful Alam Khan,
Tariful Alam Khan,

Farming Systems Engineering Laboratory, Department of Agronomy and Agricultural Extension, Rajshahi University, Bangladesh.

Nilufar Yasmin,
Nilufar Yasmin,

Farming Systems Engineering Laboratory, Department of Agronomy and Agricultural Extension, Rajshahi University, Bangladesh.

A M Shahidul Alam
A M Shahidul Alam

Farming Systems Engineering Laboratory, Department of Agronomy and Agricultural Extension, Rajshahi University, Bangladesh.

and M Robiul Islam*
M Robiul Islam*

Farming Systems Engineering Laboratory, Department of Agronomy and Agricultural Extension, Rajshahi University, Bangladesh. Email: [email protected]


Received: 17 July 2022 || Accepted: 20 August 2022 || Published: 01 September, 2022

 

A B S T R A C T

The study was carried out in the experimental field of the Department of Agronomy and Agricultural Extension, Rajshahi University, during the period from November 2017 to March 2018, to evaluate the precision nitrogen management in corn using an algorithm based on the RGB color code by digital imaging. The field experiment was set up using a split-plot experimental design with three replications. The experiment consists of three basal urea application rates (S1=100% of the standard basal dose of N; S2=75% of the standard basal dose of N, and S3=50% of the standard basal dose of N) and three topdressing urea application rates (N1=150% of standard topdressing dose of N; N2=100% of the standard topdressing dose of N and N3=50% of standard topdressing dose of N). Standard irrigation and other cultivation procedures were followed during the experiment. Considering different physiological responses, yield components, and yield of corn, it was found that the highest performance was noted for maximum top dressing urea rate (N1), which reduced gradually with the reduction of urea amount. The highest grain yield (9.61 t ha-1) was observed in N1, which was significantly reducedby 6.14 % for N2 and 9.26 % for N3. The highest stover yield (14.40 t ha-1) and biological yield (24.01 t ha-1) was found with N1. Harvest index (HI) was non-significant for both basal and top dressing urea application rate. The interaction between the basal and top dressing urea application rates had no discernible impact on physiological responses, yield-contributing traits, or maize yield.Our observations show nitrogen is the most important nutrient for maize productivity. While topdressing urea is in charge of maize development during the reproductive stage, basal urea is crucial for initial growth characteristics and hence delivers the highest stover yield.

Keywords:  Corn, Nitogen management, Color code and Digital imaging.


Copyright information: Copyright © 2022 Author(s) retain the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License


    To cite this article: Razzak, A., Biswas, B., Khan, T. A., Yasmin, N., Alam, A. M.S. and Islam, M. R. (2022). Precision Nitrogen Management in Corn (Zea mays L.) Using Algorithm Based on the RGB Color Codes by Digital Imaging. International Journal for Asian Contemporary Research, 2 (2): 50-57.  

 

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