IRO Journals

Journal of Innovative Image Processing

Diabetic Retinopathy Detection Using Machine Learning
Volume-4 | Issue-1

Monocular Depth Estimation using a Multi-grid Attention-based Model
Volume-4 | Issue-3

Speedy Image Crowd Counting by Light Weight Convolutional Neural Network
Volume-3 | Issue-3

Construction of Efficient Smart Voting Machine with Liveness Detection Module
Volume-3 | Issue-3

An Economical Robotic Arm for Playing Chess Using Visual Servoing
Volume-2 | Issue-3

Triplet loss for Chromosome Classification
Volume-4 | Issue-1

Unstructured Noise Removal for Industrial Sensor Imaging Unit by Hybrid Adaptive Median Algorithm
Volume-3 | Issue-4

Real Time Sign Language Recognition and Speech Generation
Volume-2 | Issue-2

Analysis of Artificial Intelligence based Image Classification Techniques
Volume-2 | Issue-1

Design of ANN Based Machine Learning Method for Crop Prediction
Volume-3 | Issue-3

A REVIEW ON IOT BASED MEDICAL IMAGING TECHNOLOGY FOR HEALTHCARE APPLICATIONS
Volume-1 | Issue-1

COMPUTER VISION BASED TRAFFIC SIGN SENSING FOR SMART TRANSPORT
Volume-1 | Issue-1

Diabetic Retinopathy Detection Using Machine Learning
Volume-4 | Issue-1

Accurate Segmentation for Low Resolution Satellite images by Discriminative Generative Adversarial Network for Identifying Agriculture Fields
Volume-3 | Issue-4

Deep Learning based Handwriting Recognition with Adversarial Feature Deformation and Regularization
Volume-3 | Issue-4

State of Art Survey on Plant Leaf Disease Detection
Volume-4 | Issue-2

Optimal Compression of Remote Sensing Images Using Deep Learning during Transmission of Data
Volume-3 | Issue-4

OverFeat Network Algorithm for Fabric Defect Detection in Textile Industry
Volume-3 | Issue-4

VIRTUAL RESTORATION OF DAMAGED ARCHEOLOGICAL ARTIFACTS OBTAINED FROM EXPEDITIONS USING 3D VISUALIZATION
Volume-1 | Issue-2

Two-Stage Frame Extraction in Video Analysis for Accurate Prediction of Object Tracking by Improved Deep Learning
Volume-3 | Issue-4

Home / Archives / Volume-2 / Issue-1 / Article-4

Volume - 2 | Issue - 1 | march 2020

Mellowness Detection of Dragon Fruit Using Deep Learning Strategy
Pages: 35-43
Published
27 April, 2020
Abstract

The agriculture being a main source of income in many developing countries such as India, Indonesia, etc. The economic development of these countries depends on the GDP (Gross Domestic Progress) rate of the agricultural products. However due to miscalculations in the maturity of the fruits and vegetables leads to the wastage of foods. In general many measure were taken to minimize the food spoilage and by tracking the each stage of the vegetables and fruits carefully, but resulted in a hefty human labor, and weariness. Specifically the non-climacteric fruit such as the dragon fruit requires much attention as it is has to be harvested after it is ripened and cannot be ripened after harvesting using the hastening ripening process such as the ethylene, carbide, and CO2 etc. So the paper has put forth the application to identify the mellowness in the dragon fruit using the RESNET 152 a deep learning convolution neural network to identify the dragon fruits mellowness and it's time to harvest. The model was trained using the python and the tensor flow. The developed structure was trained using the pictures of the dragon fruit in the different stages of its mellowness and was tested using the region of convergence and the confusion matrix with 100 new data. The testing was carried with the different number of epoch ranging from 10 to 500. The results obtained were more accurate compared to the VGG16 /19 in the terms of Accuracy and loss in training and testing.

Keywords

Mellowness Detection Harvesting Dragon Fruit Deep Convolution Neural Network RESNET152

Full Article PDF Download Article PDF 
×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
For single article (Indian)
1,200 INR
Article Access Charge
For single article (non-Indian)
15 USD
Open Access Fee (Indian) 5,000 INR
Open Access Fee (non-Indian) 80 USD
Annual Subscription Fee
For 1 Journal (Indian)
15,000 INR
Annual Subscription Fee
For 1 Journal (non-Indian)
200 USD
secure PAY INR / USD
Subscription form: click here