Leaf Quality :Hyperspectral Imaging Technology

Authors

  • Pramila Mary A
  • Thippeswamy G

DOI:

https://doi.org/10.14419/ijet.v7i3.12.16456

Published:

2018-07-20

Keywords:

Hyperspectral, HSI, Bhattacharya Algorithm, Bacterial Disease, Burning Disease, Lesions.

Abstract

India is a rural nation 70% of the populace relies upon horticulture. Farmers are the backbone of our nation.70% of the economic growth depends on agriculture. The major food crops of India are wheat, corn, rice, barley, sorghum. In this project the concentration is on paddy as it is a main food crop of our state. This project helps us to find whether the leaf is diseased or not and also helps us to find the type of disease in paddy leaf. The agribusiness research of programmed leaf sickness recognition is fundamental research point as it might demonstrate benefits in checking substantial fields of products, and subsequently naturally recognize manifestations of illness when they show up on plant takes off. Digital image processing Advanced is a procedure utilized for improvement of the picture. To enhance farming items programmed recognition of side effects is useful.

 

 

References

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[2] Hongyan Zhu, Bingquan Chu, Chu Zhang, Fei Liu, Linjun Jiang and Yong He “Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers Second International Conference on Information Technology and Computer Science†NCBI-2017.

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[4] Stephen Marshall, Timothy Kelman, Tong Qiao, Paul Murayt, Jaime Zabalza“ Hyperspectral Imaging For Food Applications†IEEE- 2015.

Hasan Ibrahim Kozan, Cemalettin Saricoban, Hasan Ali Akyürek, Ahmet Ãœnver “Hyperspectral Imaging Technique As A State of Art Technology In Meat Scienceâ€

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How to Cite

Mary A, P., & G, T. (2018). Leaf Quality :Hyperspectral Imaging Technology. International Journal of Engineering & Technology, 7(3.12), 693–696. https://doi.org/10.14419/ijet.v7i3.12.16456
Received 2018-07-28
Accepted 2018-07-28
Published 2018-07-20