Hyperspectral remote sensing for assessment of chlorophyll sufficiency levels in mature oil palm (Elaeis guineensis) based on frond numbers: analysis of decision tree and random forest

• Main Authors: Amirruddin, Amiratul Diyana, Muharam, Farrah Melissa, Ismail, Mohd Hasmadi, Ismail, Mohd Firdaus, Tan, Ngai Paing, Karam Singh, Daljit Singh
• Format: Article
• Language: English
• Published: Elsevier 2020
• Online Access: http://psasir.upm.edu.my/id/eprint/89237/1/AGE.pdf; http://psasir.upm.edu.my/id/eprint/89237/; https://www.sciencedirect.com/science/article/pii/S0168169919309974
• Institution: Universiti Putra Malaysia

A common practice of chlorophyll (chl) determination has been using the chemical analysis that is destructive and time-consuming. A current prospective alternative method such hyperspectral remote sensing offers a non-destructive measurement of chl which provides a result in the rapid and real-time...