Assessing leaf scale measurement for nitrogen content of oil palm: performance of discriminant analysis and Support Vector Machine classifiers-Reference-Cited by-同舟云学术

Assessing leaf scale measurement for nitrogen content of oil palm: performance of discriminant analysis and Support Vector Machine classifiers

Published:2017-09-03 Issue:23 Volume:38 Page:7260-7280
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Amirruddin Amiratul Diyana¹,Muharam Farrah Melissa¹²,Mazlan Norida¹

Affiliation:

1. Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia

2. Laboratory of Plantation Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia (UPM), Serdang, Selangor, Malaysia

Funder

United Malacca Berhad

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1372862

Reference58 articles.

1. Amirruddin, A. D. 2016. “Evaluation of Nitrogen Nutrition Status in Oil Palm Based on Spectral Response and Multi-Sensor Images.” Master diss., Universiti Putra Malaysia.

2. Evaluation of Multiple Proximal Sensors for Estimating Nitrogen Nutritional Content of Matured Oil Palm

3. Empirical study of feature selection methods based on individual feature evaluation for classification problems

4. A Comparative Study in Kernel-Based Support Vector Machine of Oil Palm Leaves Nutrient Disease

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