Work

Identification Of Healthy And Bsr-Infected Oil Palm Trees Using Color Indices

Year: 2015

Type: article

Abstract: Most of the oil palm plantations have been threatened by Basal Stem Rot (BSR) disease which causes serious economic impact. This study was conducted to identify the healthy and BSRinfected oil palm tree using thirteen color indices. Multispectral and thermal camera was used to capture 216 images of the leaves taken from frond number 1, 9 and 17. Indices of normalized difference vegetation index (NDVI), red (R), green (G), blue (B), near infrared (NIR), green – blue (GB), green/blue (G/B), green – red (GR), green/red (G/R), hue (H), saturation (S), intensity (I) and thermal index (T) were used. From this study, it can be concluded that G index taken from frond number 9 is the best index to differentiate between the healthy and BSR-infected oil palm trees. It not only gave high value of correlation coefficient (R=-0.962), but also high value of separation between healthy and BSR-infected oil palm tree. Furthermore, power and S model developed using G index gave the highest R2 value which is 0.985.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.1107584

Authors: Siti Khairunniza-Bejo, Yusnida Yusoff, Yusoff, Nik Salwani Nik, Seman, Idris Abu, Anuar, Mohamad Izzuddin

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: green

Funder: Universiti Putra Malaysia

OpenAlex ID: W2272417611

FWCI: 0.801

Cites:

Cited by: 17

Related to: 10