Ricetag is an
android-based application designed to classify rice based on their varieties
and grading categories. This mobile application is targeted towards farmers,
consumers, and traders. Its primary aim is to address the issue of asymmetric
understanding regarding rice quality, which often impacts selling prices. The
principle underlying this application is non-destructive analysis, wherein rice
samples are analyzed based solely on their appearance, without altering the
samples' composition. Ricetag provides information on the degree of milling,
rice variety, and distribution of mixed grains. This innovation provides users with
information into rice quality, which is typically influenced by factors
such as the degree of milling, rice varieties, and the type of mixed grains
present."
The application uses
image-processing technology, wherein each individual varieties and grade of grain
has been captured and recorded. Linear regression is then employed to validate
the conformity of the data. When this application is activated then image
captured by the mobile phone camera confirmed the similarity of the data. This
advanced technology non-destructive test/analysis achieves a detection
accuracy of up to 90%. Moreover, it has the potential for further enhancement
and expansion beyond rice to encompass other agricultural commodities (such as
roasted coffee bean, Cacao bean )
This application is open for public
and free for user. This application gain profitability from advertisement from
the third party. The adds are related to the food and agriculture and consumer
goods. The second business model is embedded into existing online
non-destructive analysis (test) devices.The rising demand for rice consumption
creates the importance of maintaining high-quality standards.
By ensuring transparency and
accuracy in information regarding rice quality, consumers, traders, and farmers
can collectively reduce energy consumption and minimize food waste
throughout the supply chain. With farmers understanding the quality of their
grains, traders can categorize prices accordingly, and consumers can make
informed choices based on affordability and accessibility.
Farmers and consumer awareness of
the rice quality minimize the food waste and food loss. The consumers can adjust
the affordability based on the quality. This application can avoid mixed grain fraud
that leads to un-trusty to the seller. This apps have features degree of
milling that can informed consumers that they need certain degree of milling.
As we know that degree of milling reflects that amount of dietary fibre
availability in grains, this could lead for better dietary intakes.