Citation

Muliandy, Muliandy and Lim, Tien Sze and Koo, Voon Chet (2022) Machine-Learning Based Algorithm for Estimating Rice Plant Nitrogen Status. In: 2nd FET PG Engineering Colloquium Proceedings 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

The experiment was set by planting 49 rice plants in pots. A Red Edge and an OCN Mapir Survey3 camera were used, with an additional light sensor. A total of 768 pairs of data were created which have features of NDVI value, RE value, light intensity, and time. The data output is a SPAD value. Before the training process, all the data sets have been cleaned using an outlier. A four-point linear regression was developed to calibrate the multispectral images and a Super Vector Regression model was used.

Item Type:	Conference or Workshop Item (Other)
Uncontrolled Keywords:	Four-point linear regression, light intensity, low-cost multispectral camera, Super Vector Regression
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	20 Feb 2023 08:42
Last Modified:	20 Feb 2023 08:42
URII:	http://shdl.mmu.edu.my/id/eprint/11104

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