Estimation of Tea Leaf Chlorophyll Using MLR, ANN, SVR, and KNN in Natural Light Condition-Reference-Cited by-同舟云学术

Estimation of Tea Leaf Chlorophyll Using MLR, ANN, SVR, and KNN in Natural Light Condition

Published:2021 Issue: Volume: Page:287-295
ISSN:2367-3370
Container-title:Proceedings of the International Conference on Computing and Communication Systems
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Author:

Barman Utpal,Sarmah Animesh,Sahu Diganto,Barman Golap Gunjan

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-4084-8_27

Reference11 articles.

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2. Agarwal A, Gupta SD (2018) Assessment of spinach seedling health status and chlorophyll content by multivariate data analysis and multiple linear regression of leaf image features. Comput Electron Agric 152:281–289

3. Barman U, Choudhury RD (2020) Smartphone image based digital chlorophyll meter to estimate the value of citrus leaves chlorophyll using linear regression, LMBP-ANN, and SCGBP-ANN. J King Saud Univ Comput Inf Sci

4. Mahmoodi M, Khazaei J, Vahdati K, Mohamadi N, Javanmardi Z (2013) Chlorophyll content estimation using image processing technique. World Appl Sci J

5. Barman U, Choudhury RD, Saud A, Dey S, Pratim MB, Gunjan BG (2018) Estimation of chlorophyll using image processing. Int J Recent Sci Res 9(3):24850–24853

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