CNN-LSTM learning approach for classification of foliar disease of apple
AA Haruna, IA Badi, LJ Muhammad… - … Innovations in Smart …, 2023 - ieeexplore.ieee.org
Deep learning techniques haven been the efficient artificial intelligence techniques that is
being used for developing models for autonomous feature extraction, classification and …
being used for developing models for autonomous feature extraction, classification and …
Fruit classification using deep convolutional neural network and transfer learning
Identification and classification of fruits of different qualities are vital for fruit industries.
Traditional techniques, such as visual inspection of fruits by handpicking, are time …
Traditional techniques, such as visual inspection of fruits by handpicking, are time …
Application of deep learning diagnosis for multiple traits sorting in peach fruit
K Masuda, R Uchida, N Fujita, Y Miyamoto… - Postharvest Biology and …, 2023 - Elsevier
Abstracts Fruit quality is determined by multiple complex traits, which are difficult to diagnose
by simple criteria and often require expert skills with a long experience. Nevertheless …
by simple criteria and often require expert skills with a long experience. Nevertheless …
An advanced method of identification fresh and rotten fruits using different convolutional neural networks
MS Miah, T Tasnuva, M Islam, M Keya… - 2021 12th …, 2021 - ieeexplore.ieee.org
Fruit classification is crucial in various industries. This hierarchy helps vendors in different
supermarkets to identify the species of fruit and also influences the pricing accordingly. The …
supermarkets to identify the species of fruit and also influences the pricing accordingly. The …
Fruit image classification model based on MobileNetV2 with deep transfer learning technique
Y Gulzar - Sustainability, 2023 - mdpi.com
Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …
devices has increased significantly. Researchers have started using deep learning models …
Fruit ripeness identification using transformers
Pattern classification has always been essential in computer vision. Transformer paradigm
having attention mechanism with global receptive field in computer vision improves the …
having attention mechanism with global receptive field in computer vision improves the …
Efficient Fruits Classification Using Convolutional Neural Network
AA ABIDIN, H Hamzah, M Endah - International Journal of …, 2021 - ijicom.respati.ac.id
Classification of fruits is a growing research topic in image processing. Various papers
propose various techniques to deal with the classification of apples. However, some …
propose various techniques to deal with the classification of apples. However, some …
Classification of oolong tea varieties based on computer vision and convolutional neural networks
Y Zhu, S Chen, H Yin, X Han, M Xu… - Journal of the …, 2024 - Wiley Online Library
BACKGROUND In the contemporary food industry, accurate and rapid differentiation of
oolong tea varieties holds paramount importance for traceability and quality control …
oolong tea varieties holds paramount importance for traceability and quality control …
Identification of apple tree leaf diseases based on deep learning models
X Chao, G Sun, H Zhao, M Li, D He - Symmetry, 2020 - mdpi.com
Early diagnosis and accurate identification of apple tree leaf diseases (ATLDs) can control
the spread of infection, to reduce the use of chemical fertilizers and pesticides, improve the …
the spread of infection, to reduce the use of chemical fertilizers and pesticides, improve the …
Deep learning for apple diseases: classification and identification
Diseases cause huge economic loss to the apple industry every year. Timely identification of
these diseases is challenging for the farmers as the symptoms produced by different …
these diseases is challenging for the farmers as the symptoms produced by different …