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

• Main Authors: Saha, Gonesh Chandra, Che Mat, Ruzinoor
• Format: Article
• Language: English
• Published: IOP Publishing 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/25513/1/IOP%20CSEES%20169%20%202018%201%206.pdf; http://repo.uum.edu.my/25513/; http://doi.org/10.1088/1755-1315/169/1/012068
• Institution: Universiti Utara Malaysia

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.