Abstract:
The oiliness of cinnamon leaves, a crucial component in assessing their eligibility for
essential oil extraction, is still evaluated by the Sri Lankan cinnamon industry using
conventional techniques, despite technological developments. This outdated method results in
inconsistent evaluations, lower oil output, and unpredictable product quality. These
challenges limit the cinnamon oil industry's long term growth and efficiency in addition to
affecting present production. In order to get over these restrictions, this study presents an AI
powered method that precisely determines the oiliness of cinnamon leaves by utilizing
machine learning and image processing approaches.
The VisionTransformImageProcessor model is used by the CinaOil system to extract relevant
visual information from images of cinnamon leaves. To improve performance and deal with
dataset imbalance, advanced training techniques such early stopping model checkpointing,
class weighting, and learning rate scheduling were used. The accuracy and generalization of
the model were further improved by background removal and other preprocessing techniques.
Reliable predictions in real world applications were ensured by the model's great stability
over a range of environmental circumstances and image modifications.
Confusion matrices and classification reports were used to assess CinaOil's performance, and
it showed excellent accuracy in identifying between oily and non oily leaves. The model
demonstrated high precision and recall with a test accuracy of 98.1%, demonstrating its
efficacy in determining the best leaves for oil extraction. A CNN-based model and an AI-
enhanced model were the two separate components that were developed and evaluated. The
AI model was used in the final application because it performed better than the CNN model,
which had an accuracy of 93.6%, with 98.1%.
The goal of this scalable, user friendly program is to assist cinnamon producers by offering a
reliable and automated way to evaluate quality, and ultimately helping in the modernization
of the cinnamon sector.
