FruitQ: a new dataset of multiple fruit images for freshness evaluation
Application of artificial intelligence methods in agriculture is gaining research attention with
focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is …
focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is …
Adaptability of deep learning: datasets and strategies in fruit classification
This review aims to uncover the multifaceted landscape of methodologies employed by
researchers for accurate fruit classification. The exploration encompasses an array of …
researchers for accurate fruit classification. The exploration encompasses an array of …
[引用][C] Six fruits classification using deep learning
A Dual-Branch Model Integrating CNN and Swin Transformer for Efficient Apple Leaf Disease Classification
H Si, M Li, W Li, G Zhang, M Wang, F Li, Y Li - Agriculture, 2024 - mdpi.com
Apples, as the fourth-largest globally produced fruit, play a crucial role in modern agriculture.
However, accurately identifying apple diseases remains a significant challenge as failure in …
However, accurately identifying apple diseases remains a significant challenge as failure in …
Accelerating Strawberry Ripeness Classification Using a Convolution-Based Feature Extractor along with an Edge AI Processor
Image analysis-based artificial intelligence (AI) models leveraging convolutional neural
networks (CNN) take a significant role in evaluating the ripeness of strawberry, contributing …
networks (CNN) take a significant role in evaluating the ripeness of strawberry, contributing …
Apple leaf disease identification through region-of-interest-aware deep convolutional neural network
HJ Yu, CH Son - arXiv preprint arXiv:1903.10356, 2019 - arxiv.org
A new method of recognizing apple leaf diseases through region-of-interest-aware deep
convolutional neural network is proposed in this paper. The primary idea is that leaf disease …
convolutional neural network is proposed in this paper. The primary idea is that leaf disease …
Automatic apple grading model development based on back propagation neural network and machine vision, and its performance evaluation
This paper describes a new apple classification system based on machine vision and
artificial neural network (ANN), which classifies apple in real time on the basis of physical …
artificial neural network (ANN), which classifies apple in real time on the basis of physical …
DenseNet-201 and Xception pre-trained deep learning models for fruit recognition
With the dramatic increase of the global population and with food insecurity increasing, it
has become a major concern for both individuals and governments to fulfill the need for …
has become a major concern for both individuals and governments to fulfill the need for …
Sustainable apple disease management using an intelligent fine-tuned transfer learning-based model
Apple foliar diseases are a group of diseases that affect the leaves of apple trees. These
diseases can significantly impact apple tree health and fruit yield. Ordinary apple foliar …
diseases can significantly impact apple tree health and fruit yield. Ordinary apple foliar …
A case study toward apple cultivar classification using deep learning
S Krug, T Hutschenreuther - AgriEngineering, 2023 - mdpi.com
Machine Learning (ML) has enabled many image-based object detection and recognition-
based solutions in various fields and is the state-of-the-art method for these tasks currently …
based solutions in various fields and is the state-of-the-art method for these tasks currently …