[PDF][PDF] Characterising Colour Feature Descriptors for Ficus carica L. Ripeness Classification Based on Artificial Neural Network (ANN).
Excessive feature dimensions impact the effectiveness of machine learning, computationally
expensive and the analysis of feature correlations in the engineering area. This paper uses …
expensive and the analysis of feature correlations in the engineering area. This paper uses …
Fig Fruit Image Segmentation using Threshold, K-means Clustering, and Sharp U-Net Techniques
In this study, image segmentation on Ficus Carica (fig) was developed. Fig fruit image
segmentation separates fruit objects by removing the background in the image, including …
segmentation separates fruit objects by removing the background in the image, including …
Development of fig fruit ripeness classification using convolutional neural network
SJ Abu Bakar, HR Musa, MS Osman… - ESTEEM Academic …, 2024 - ir.uitm.edu.my
This study presents the design and evaluation of a deep convolutional neural network
(CNN) model for accurately classifying fig ripeness stages. Traditionally, fruit ripeness …
(CNN) model for accurately classifying fig ripeness stages. Traditionally, fruit ripeness …
Development of a Non-Destructive Fruit Quality Predictor Using Convolutional Neural Network Regression Model on Raspberry Pi
IA Mazni, S Setumin, AAS Joseph… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
The rapid progress in agriculture continually increases the demand for high-quality fruits.
However, the quality of the fruits was usually assessed by a destructive method that normally …
However, the quality of the fruits was usually assessed by a destructive method that normally …
[PDF][PDF] Development of fig fruit ripeness classification using convolutional neural network.
This study presents the design and evaluation of a deep convolutional neural network
(CNN) model for accurately classifying fig ripeness stages. Traditionally, fruit ripeness …
(CNN) model for accurately classifying fig ripeness stages. Traditionally, fruit ripeness …
PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES
Excessive feature dimensions impact the effectiveness of machine learning, computationally
expensive and the analysis of feature correlations in the engineering area. This paper uses …
expensive and the analysis of feature correlations in the engineering area. This paper uses …
UiTM Press Pulau Pinang
This study presents the design and evaluation of a deep convolutional neural network
(CNN) model for accurately classifying fig ripeness stages. Traditionally, fruit ripeness …
(CNN) model for accurately classifying fig ripeness stages. Traditionally, fruit ripeness …
[PDF][PDF] Systematic Literature Review Approach on the Fruit Quality Assessment Based on Fruit Imaging Techniques
Non-destructive quality assessment is one of the methods in image processing used to
evaluate the qualities of fruits without destroying the internal structure and external …
evaluate the qualities of fruits without destroying the internal structure and external …
PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY
Excessive feature dimensions impact the effectiveness of machine learning, computationally
expensive and the analysis of feature correlations in the engineering area. This paper uses …
expensive and the analysis of feature correlations in the engineering area. This paper uses …