Hyperspectral spectroscopy and imbalance data approaches for classification of oil palm's macronutrients observed from frond 9 and 17
This paper highlights the application of hyperspectral sensing in conjunction with imbalance approaches and machine learning (ML) algorithms to monitor the nutrients status of mature oil palm. As an alternative to the traditional foliar analysis, hyperspectral spectroscopy have portrayed a promising...
主要な著者: | , , , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
Elsevier
2020
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オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/89238/1/OIL.pdf |