Proceedings ArticleDOI
A Durian Variety Identifier Using Canny Edge and CNN
Reads0
Chats0
TLDR
In this paper, a Raspberry Pi was used to implement image processing algorithms and to create a portable device to identify the fruit's variety, which can be used in today's modern technology like in medicine, media or the like, and devices are portable for accessibility.Abstract:
Durian belongs to the genus Durio and a native fruit in tropical countries in the regions of Southeast Asia such as Malaysia, Indonesia, Thailand, and the Philippines. Durian can be easily recognized by its spiky husk and pungent aroma. There are plenty of varieties of Durian which are hard to differentiate by someone who is even an expert of the said fruit. This study is conducted to utilize Raspberry Pi. It will be used to implement image processing algorithms and to create a portable device to identify the fruit’s variety. Image Processing has been used in today’s modern technology like in medicine, media, or the like, and devices are portable for accessibility. The researcher has considered the usefulness of this study and to further understand and acquire useful information of the portable device that will be created to identify Durian variants. Due to the multiple numbers of Durian varieties, the researcher has to determine 6 variants. As the study focused on the unknown variant, the researcher will use a guide on the datasets that will be needed for the training and testing phase of the software. The whole device would then be inspected and would document the accuracy of each variant. The data that the researcher will need to determine the quality and the accuracy of the software, further training and more testing will be needed to get the required acceptable accuracy percentage.read more
Citations
More filters
InceptionV3, ResNet50, and VGG19 Performance Comparison on Tomato Ripeness Classification
TL;DR: In this article , the performance of three Convolutional Neural Network algorithms (InceptionV3, ResNet50, and VGG19) in terms of accuracy in identifying the ripeness of tomatoes was evaluated.
Proceedings ArticleDOI
Bacterial Leaf Blight Identification of Rice Fields Using Tiny YOLOv3
TL;DR: In this article , the Tiny YOLOv3 algorithm was used to identify bacterial leaf blight using 20 test photos, 10 of which were infected leaves and the other 10 were healthy.
Proceedings ArticleDOI
Bacterial Leaf Blight Identification of Rice Fields Using Tiny YOLOv3
TL;DR: In this article , the Tiny YOLOv3 algorithm was used to identify bacterial leaf blight using 20 test photos, 10 of which were infected leaves and the other 10 were healthy.
Proceedings ArticleDOI
InceptionV3, ResNet50, and VGG19 Performance Comparison on Tomato Ripeness Classification
TL;DR: In this paper , the performance of three Convolutional Neural Network algorithms (InceptionV3, ResNet50, and VGG19) in terms of accuracy in identifying the ripeness of tomatoes was evaluated.
Identification of Macro-Nutrient Deficiency in Onion Leaves (Allium cepa L.) Using Convolutional Neural Network (CNN)
TL;DR: In this paper , a modern approach to identify the primary macro-nutrient deficiency in onion leaves was developed using a Convolutional Neural Network with the VGG-16 architecture.
References
More filters
Journal ArticleDOI
Static Hand Gesture Recognition Using Artificial Neural Network
TL;DR: A new method supporting hand gesture recognition in the static form, using artificial neural network is proposed, which has been tested with high accuracy (98%) and is promising.
Proceedings ArticleDOI
Geometric Analysis of Skin Lesion for Skin Cancer Using Image Processing
TL;DR: Geometric features of the skin lesion are extracted following the asymmetry, border, and diameter parameters of the ABCD-Rule of Dermoscopy using k-Nearest Neighbors algorithm for classification.
Proceedings ArticleDOI
Plant Identification by Image Processing of Leaf Veins
TL;DR: This study focuses on building a portable device capable of plant identification by image processing of leaf veins using Raspberry pi and the devise that the study will develop can help professionals in the field of Botany and Biology.
Proceedings ArticleDOI
Durian Types Recognition Using Deep Learning Techniques
TL;DR: The aim of this research work is to develop an effective method to classify the various cultivars of Durio zibethinus based on the crop's visual features via the application of CNN to improve the accuracy and speed of the cultivars recognition.
Proceedings ArticleDOI
FPGA-Based Plant Identification Through Leaf Veins
TL;DR: This study is focusing on plant identification with the use of field-programmable gate array (FPGA) device Altera DE1-SoC Cyclone V platform using the convolutional neural network (CNN) based on the technology called OpenCL.
Related Papers (5)
Classification of Durian Fruits based on Ripening with Machine Learning Techniques
Muthulakshmi. A,P. N. Renjith +1 more