Prediction of SPAD chlorophyll meter readings using remote sensingtechnique


Citation

Teoh Chin Chuang, . and Abu Hassan Daud, . and Muhammad Radzali Mispan, . and Jafni Johari Jiken, . Prediction of SPAD chlorophyll meter readings using remote sensingtechnique. pp. 127-136. ISSN 1394-9829

Abstract

A method using unmanned airborne vehicle (UAV) and image processing technique to enable prediction of SPAD chlorophyll meter readings was developed. Relationships between SPAD readings and R G B R/(RGB) G/(RGB) and B/(RGB) values were analysed. The R/(RGB) values indicate the highest correlation with SPAD readings with r2 value of “0.9695 and a SPAD reading prediction model was developed from the relationship analysis. The prediction model is capable to predict SPAD reading with average accuracy value of 89. A SPAD reading map was generated by converting the spectral reflectance values into SPAD readings using the prediction model. This SPAD reading map was classified into high medium and low levels of SPAD values for easy identification of N stress levels in the paddy fields.


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Abstract

A method using unmanned airborne vehicle (UAV) and image processing technique to enable prediction of SPAD chlorophyll meter readings was developed. Relationships between SPAD readings and R G B R/(RGB) G/(RGB) and B/(RGB) values were analysed. The R/(RGB) values indicate the highest correlation with SPAD readings with r2 value of “0.9695 and a SPAD reading prediction model was developed from the relationship analysis. The prediction model is capable to predict SPAD reading with average accuracy value of 89. A SPAD reading map was generated by converting the spectral reflectance values into SPAD readings using the prediction model. This SPAD reading map was classified into high medium and low levels of SPAD values for easy identification of N stress levels in the paddy fields.

Additional Metadata

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Item Type: Article
AGROVOC Term: Chlorophylls
AGROVOC Term: Remote sensing
AGROVOC Term: Rice
AGROVOC Term: Image processing
AGROVOC Term: Spectral analysis
AGROVOC Term: Prediction
AGROVOC Term: Paddy
AGROVOC Term: Rice fields
AGROVOC Term: Fertilizer application
AGROVOC Term: Soil fertility
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 24 Apr 2025 06:29
URI: http://webagris.upm.edu.my/id/eprint/24483

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