Nitrogen Status Estimation of Rice Crop in Western Tract of Odisha based on Image Processing Techniques
Prabira Kumar Sethy1, Yogesh Bhitiria2, Nalini Kanta Barpanda3, Amiya Kumar Rath4

1Prabira Kumar Sethy,  Assistant Professor,  Department of Electronics, Sambalpur University Institute of Information Technology, Sambalpur, Odisha.

2Yogesh Bhitiria, B.Tech, Department of Electronics and Communication Engineering, Sambalpur University Institute of Information Technology, Sambalpur, Odisha.

3Dr. Nalini Kanta Barpanda, Department of  Electronics Engineering, Sambalpur University Institute of Information Technology, Sambalpur, Odisha.

4Prof. Amiya Kumar Rath, Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla, Odisha.

Manuscript received on 04 April 2019 | Revised Manuscript received on 11 April 2019 | Manuscript Published on 26 April 2019 | PP: 427-429 | Volume-8 Issue-6S April 2019 | Retrieval Number: F60910486S19/19©BEIESP

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Abstract: Nitrogen is the main component among all nutrients for rice crop growth and production. The leaf nitrogen concentration (LNC) is highly correlated with chlorophyll content. There are many devices like Leaf Color Chart (LCC), SPAD, at LEAF+ for measurement of chlorophyll &/ or nitrogen. As these devices are cost effective and unavailable with all farmers, a digitize image acquisition and interpretation system is required. The paper proposed a site-specific nitrogen status estimation method based on image captured by smartphone, generation of corresponding hexadecimal code and then compare with the hexadecimal code of each swap of LCC. The methodology achieve of 87.27% accuracy with consideration of different rice field, shooting time and growth level.

Keywords: Nitrogen Status Estimation, LCC, Channel Extraction, Hexadecimal code, Image processing.
Scope of the Article: Communication