3D visualization of GIS data in coconut plantation management: challenges and opportunities

The coconut (Cocos nucifera) is an essential agricultural crop which delivers oil, food, beverage, fiber, medicine with range of raw materials and widely identified as "tree of life". The coconut grows all over the tropics but is fronting major challenges to its survival. It obviously demo...

Full description

Bibliographic Details
Main Authors: Saha, Gonesh Chandra, Che Mat, Ruzinoor
Format: Article
Language:English
Published: IOP Publishing 2018
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/25513/1/IOP%20CSEES%20169%20%202018%201%206.pdf
_version_ 1803628947969146880
author Saha, Gonesh Chandra
Che Mat, Ruzinoor
author_facet Saha, Gonesh Chandra
Che Mat, Ruzinoor
author_sort Saha, Gonesh Chandra
collection UUM
description The coconut (Cocos nucifera) is an essential agricultural crop which delivers oil, food, beverage, fiber, medicine with range of raw materials and widely identified as "tree of life". The coconut grows all over the tropics but is fronting major challenges to its survival. It obviously demonstrates that coconut plantation has declined due to poor agricultural practices and farm management. The aim of this paper is to reveal the existing challenges and find opportunities of online 3D visualization of GIS data in coconut plantation management. In this study, the data collected from a field observation will be used as the source of primary data where coconut plantation took place. The results discovered from the coconut field observation about the techniques for coconut based farming that are traditional challenging manual cultivation practices and there is also lack of proper monitoring activities is the main challenges could be highlight for introducing new technologies. The findings from this study possibly will helps in identifying the suitable challenges and opportunities that could be highlight in implementing online 3D visualization of GIS data for coconut plantation management. It will also be adapted for advancing visualization technologies.
first_indexed 2024-07-04T06:30:03Z
format Article
id uum-25513
institution Universiti Utara Malaysia
language English
last_indexed 2024-07-04T06:30:03Z
publishDate 2018
publisher IOP Publishing
record_format dspace
spelling uum-255132019-01-29T02:50:36Z https://repo.uum.edu.my/id/eprint/25513/ 3D visualization of GIS data in coconut plantation management: challenges and opportunities Saha, Gonesh Chandra Che Mat, Ruzinoor QA75 Electronic computers. Computer science The coconut (Cocos nucifera) is an essential agricultural crop which delivers oil, food, beverage, fiber, medicine with range of raw materials and widely identified as "tree of life". The coconut grows all over the tropics but is fronting major challenges to its survival. It obviously demonstrates that coconut plantation has declined due to poor agricultural practices and farm management. The aim of this paper is to reveal the existing challenges and find opportunities of online 3D visualization of GIS data in coconut plantation management. In this study, the data collected from a field observation will be used as the source of primary data where coconut plantation took place. The results discovered from the coconut field observation about the techniques for coconut based farming that are traditional challenging manual cultivation practices and there is also lack of proper monitoring activities is the main challenges could be highlight for introducing new technologies. The findings from this study possibly will helps in identifying the suitable challenges and opportunities that could be highlight in implementing online 3D visualization of GIS data for coconut plantation management. It will also be adapted for advancing visualization technologies. IOP Publishing 2018 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/25513/1/IOP%20CSEES%20169%20%202018%201%206.pdf Saha, Gonesh Chandra and Che Mat, Ruzinoor (2018) 3D visualization of GIS data in coconut plantation management: challenges and opportunities. IOP Conference Series: Earth and Environmental Science, 169. pp. 1-6. ISSN 1755-1315 http://doi.org/10.1088/1755-1315/169/1/012068 doi:10.1088/1755-1315/169/1/012068 doi:10.1088/1755-1315/169/1/012068
spellingShingle QA75 Electronic computers. Computer science
Saha, Gonesh Chandra
Che Mat, Ruzinoor
3D visualization of GIS data in coconut plantation management: challenges and opportunities
title 3D visualization of GIS data in coconut plantation management: challenges and opportunities
title_full 3D visualization of GIS data in coconut plantation management: challenges and opportunities
title_fullStr 3D visualization of GIS data in coconut plantation management: challenges and opportunities
title_full_unstemmed 3D visualization of GIS data in coconut plantation management: challenges and opportunities
title_short 3D visualization of GIS data in coconut plantation management: challenges and opportunities
title_sort 3d visualization of gis data in coconut plantation management challenges and opportunities
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/25513/1/IOP%20CSEES%20169%20%202018%201%206.pdf
work_keys_str_mv AT sahagoneshchandra 3dvisualizationofgisdataincoconutplantationmanagementchallengesandopportunities
AT chematruzinoor 3dvisualizationofgisdataincoconutplantationmanagementchallengesandopportunities