| dc.description.abstract | Rice is a very important food in the world, a
staple food for more than half of the world's population,
especially Asia. People in Asia plant rice crops, more
than 90% of the world's rice crops which are grown. In
the current technological era the conditions of
agricultural crops such as rice can be monitored rapidly
from the air. This study aims to classify the age of rice
plants based on cartesian coordinate position vectors
from the extracted basic, red, green, and blue color
spectrum of reflectance. The research was done by taking
the image of rice plants based on age classification and
Furthermore, the extracted values of each spectrum is
normalized and then be plotted on cartesian coordinate
The result obtained from this research is the position
vector of normalized RGB values be able to differentiate
the age classification of rice plant. The each vector
position represented a single group of age classification.
The three vector units i.e. red, green and blue figure every
axis on the 3 dimensional Cartesian coordinates. This
research concluded that the 3-dimensional position vector
method of cartesian coordinates, can classify the age of
rice plants. | en_US |
