Cover Image

Imaging approach for LAI determination of oil palm

Leaf Area Index (LAI) describes a fundamental property of the plant canopy and its interaction with the atmosphere, such as radiation, photosynthesis, energy exchange and gas exchanges. LAI has often been used as a critical variable to simulate the growth and yield models, but it is difficult to mea...

Full description

Saved in:
Bibliographic Details
Main Authors: Awal, Md. Awal, Wan Ishak, Wan Ismail, Endan, Johari, Harun, Mohd. Haniff
Format: Conference or Workshop Item
Language:English
Published: 2005
Online Access:http://psasir.upm.edu.my/id/eprint/39396/1/39396.pdf
http://psasir.upm.edu.my/id/eprint/39396/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.39396
record_format eprints
spelling my.upm.eprints.393962015-07-22T06:17:43Z http://psasir.upm.edu.my/id/eprint/39396/ Imaging approach for LAI determination of oil palm Awal, Md. Awal Wan Ishak, Wan Ismail Endan, Johari Harun, Mohd. Haniff Leaf Area Index (LAI) describes a fundamental property of the plant canopy and its interaction with the atmosphere, such as radiation, photosynthesis, energy exchange and gas exchanges. LAI has often been used as a critical variable to simulate the growth and yield models, but it is difficult to measure directly for oil palm. The present conventional method used in determining LAI is laborious, difficult and time consuming. Thus an image-based measurement using camera system with fish eye lens offers an alternative means for accurate indirect measurement of LAI in oil palm. In this study, a methodology was developed to improve the leaf area index of the oil palm determination by hemispherical photography as an indirect method. A set of true LAI data, which collected by the direct method, was used as a reference to calibrate the LAI measurements obtained by hemispherical photography. The estimated LAI obtained by the hemispherical photographic method was underestimated as compared to the destructive method. Some means of calibration was necessary to determine the relationship between actual LAI and the hemispherical photographic LAI. The proposed correction factors will solve this underestimation effect. Protocol of the image analysis could minimize the error during image analysis. Developed LAI model can be used to estimate the accurate LAI by the hemispherical photographic method. The hemispherical photographic method seems a useful tool, which can confidently be used to estimate LAI of the oil palm. It can be used to estimate of the leaf area index (LAI) and as reliably as those obtained from the other indirect methods. This method could be popular due to its advantages, such as ease of use, the permanent photographs that can be use for other research purposes, comparatively cheaper and use of user-friendly image analysis software. 2005 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39396/1/39396.pdf Awal, Md. Awal and Wan Ishak, Wan Ismail and Endan, Johari and Harun, Mohd. Haniff (2005) Imaging approach for LAI determination of oil palm. In: International Conference on Advanced Material 2005: Conference on Bio-Engineering (CoBE 2005), 6-8 Dec. 2005, Putrajaya, Malaysia. . (Unpublished)
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Leaf Area Index (LAI) describes a fundamental property of the plant canopy and its interaction with the atmosphere, such as radiation, photosynthesis, energy exchange and gas exchanges. LAI has often been used as a critical variable to simulate the growth and yield models, but it is difficult to measure directly for oil palm. The present conventional method used in determining LAI is laborious, difficult and time consuming. Thus an image-based measurement using camera system with fish eye lens offers an alternative means for accurate indirect measurement of LAI in oil palm. In this study, a methodology was developed to improve the leaf area index of the oil palm determination by hemispherical photography as an indirect method. A set of true LAI data, which collected by the direct method, was used as a reference to calibrate the LAI measurements obtained by hemispherical photography. The estimated LAI obtained by the hemispherical photographic method was underestimated as compared to the destructive method. Some means of calibration was necessary to determine the relationship between actual LAI and the hemispherical photographic LAI. The proposed correction factors will solve this underestimation effect. Protocol of the image analysis could minimize the error during image analysis. Developed LAI model can be used to estimate the accurate LAI by the hemispherical photographic method. The hemispherical photographic method seems a useful tool, which can confidently be used to estimate LAI of the oil palm. It can be used to estimate of the leaf area index (LAI) and as reliably as those obtained from the other indirect methods. This method could be popular due to its advantages, such as ease of use, the permanent photographs that can be use for other research purposes, comparatively cheaper and use of user-friendly image analysis software.
format Conference or Workshop Item
author Awal, Md. Awal
Wan Ishak, Wan Ismail
Endan, Johari
Harun, Mohd. Haniff
spellingShingle Awal, Md. Awal
Wan Ishak, Wan Ismail
Endan, Johari
Harun, Mohd. Haniff
Imaging approach for LAI determination of oil palm
author_facet Awal, Md. Awal
Wan Ishak, Wan Ismail
Endan, Johari
Harun, Mohd. Haniff
author_sort Awal, Md. Awal
title Imaging approach for LAI determination of oil palm
title_short Imaging approach for LAI determination of oil palm
title_full Imaging approach for LAI determination of oil palm
title_fullStr Imaging approach for LAI determination of oil palm
title_full_unstemmed Imaging approach for LAI determination of oil palm
title_sort imaging approach for lai determination of oil palm
publishDate 2005
url http://psasir.upm.edu.my/id/eprint/39396/1/39396.pdf
http://psasir.upm.edu.my/id/eprint/39396/
_version_ 1643832410286063616
score 13.211869

Similar Items