A comprehensive analysis of blockchain applications for securing computer vision systems
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to
transform various sectors. BC can offer decentralized and secure data storage, while CV …
transform various sectors. BC can offer decentralized and secure data storage, while CV …
POA optimized VGG16-SVM architecture for severity level classification of Ascochyta blight of chickpea
MB Haile, AJ Belay - Cogent Food & Agriculture, 2024 - Taylor & Francis
Chickpeas (Cicer arietinum L.) are a nutritious legume crop farmed on 17.8 million hectares
in 56 countries throughout the world, with an estimated yearly yield of 14.78 million tones …
in 56 countries throughout the world, with an estimated yearly yield of 14.78 million tones …
A Comprehensive Study on Paddy Leaf Disease Detection using CNN and Random Forest
In the context of paddy leaf diseases, this study thoroughly assesses disease classification
performance. Brown Spot Disease, Blasting Disease, Sheath Blight, Bacterial Leaf Blight …
performance. Brown Spot Disease, Blasting Disease, Sheath Blight, Bacterial Leaf Blight …
From Frisee to Belgian Endive: A Deep Learning and Ensemble Approach to Classifying Endive Varieties in India
The proposed study looks at the types of Frisée, Escarole, and Belgian Endive in India using
Convolutional Neural Networks (CNN) with team learning. A set with 9,000 big pictures was …
Convolutional Neural Networks (CNN) with team learning. A set with 9,000 big pictures was …
Advanced Computational Analysis of Artichoke Varieties in India: A Deep Dive into Green Globe, Imperial Star, and Big Heart
D Sharma, PS Kaur, S Sharma… - … on Reliability, Infocom …, 2024 - ieeexplore.ieee.org
The proposed research offers a complete method for grouping different types of artichokes in
India. It uses Convolutional Neural Networks (CNN) and Support Vector Machines (SVM). A …
India. It uses Convolutional Neural Networks (CNN) and Support Vector Machines (SVM). A …
Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques
PT Huong, LT Hien, NM Son, TQ Nguyen - 2024 - researchsquare.com
This study introduces significant improvements in the construction of Deep Convolutional
Neural Network (DCNN) models for classifying agricultural products, specifically oranges …
Neural Network (DCNN) models for classifying agricultural products, specifically oranges …