Tomato leaf disease detection using convolutional neural network with data augmentation
M Kaushik, P Prakash, R Ajay… - 2020 5th International …, 2020 - ieeexplore.ieee.org
This project briefs the detection of diseases present in a tomato leaf using Convolutional
Neural Networks (CNNs) which is a class under a deep neural network. As an initial step,
the dataset is segregated before the detection of tomato leaves. The concept of transfer
learning is used where a pre-trained model (ResNet-50) is imported and adjusted according
to our classification problem. To increase the quality of the ResNet model and to enhance
the result as close to the actual prevailing disease, data augmentation has been …
Neural Networks (CNNs) which is a class under a deep neural network. As an initial step,
the dataset is segregated before the detection of tomato leaves. The concept of transfer
learning is used where a pre-trained model (ResNet-50) is imported and adjusted according
to our classification problem. To increase the quality of the ResNet model and to enhance
the result as close to the actual prevailing disease, data augmentation has been …
Tomato leaf disease detection using convolution neural network
H Kibriya, R Rafique, W Ahmad… - … Bhurban Conference on …, 2021 - ieeexplore.ieee.org
The quality and quantity of the crop are significantly affected by numerous diseases in
plants. In this regard, an early detection of such diseases is highly effective. Tomato is one of
the important crops that is produced in large quantities with high commercial value. Several
types of tomato diseases affect the crop at an alarming rate. In this paper, we deployed two
Convolution Neural Network (CNN) based models ie GoogLeNet and VGG16 for tomato leaf
disease classification. The proposed work aims to find the best solution to the problem of …
plants. In this regard, an early detection of such diseases is highly effective. Tomato is one of
the important crops that is produced in large quantities with high commercial value. Several
types of tomato diseases affect the crop at an alarming rate. In this paper, we deployed two
Convolution Neural Network (CNN) based models ie GoogLeNet and VGG16 for tomato leaf
disease classification. The proposed work aims to find the best solution to the problem of …
以上显示的是最相近的搜索结果。 查看全部搜索结果