Advancing grass development and maintenances is a novel
research area in Indonesia. Among many areas of grass research,
real time monitoring with low cost energy usage is underlined
within this paper. In order to support cloud based grass
surveillance systems, appropriate video streaming technique is
considered be applied according to real time monitoring
requirements. This study proposes a new decision analysis model
for guiding decision makers to perform selection among existing
video streaming algorithms to enhance grass surveillance systems
on the cloud. A novel decision analysis model is developed and
the guidance for using it properly is also presented.