ABSTRACT
A typical data clarification process involves data evalua-
tion, localization, and stabilization. The data collection
subsystem usually collects all available data, while a farm-
ing operation may need only a few of the collected data.
The evaluation function is used to determine the relevancy
of the data to specific operations. After the most relevant
data is identified, it is necessary to link the data with the
locations being collected for supporting the mechanized
precision farming operation. To avoid the localized data
being updated with unstable data, especially those from
on-board sensors, a data stabilization function is needed to
smooth the variation of the data.[5]
