Add to ORKGThe use of machine learning and computer vision methods for recognizing different plants from images has attracted lots of attention from the community. This paper aims at comparing local feature descriptors and bags of visual words with different classifiers to deep convolutional neural networks (CNNs) on three plant datasets; AgrilPlant, LeafSnap, and Folio. To achieve this, we study the use of both scratch and fine-tuned versions of the GoogleNet and the AlexNet architectures and compare them to a local feature descriptor with k-nearest neighbors and the bag of visual words with the histogram of oriented gradients combined with either support vector machines and multi-layer perceptrons. The results shows that the deep CNN methods outperf...
Plant leaf classification involves identifying and categorizing plant species based on leaf characte...
Abstract Background The images of different flower species had small inter-class variations across d...
We use deep convolutional neural networks to identify the plant species captured in a photograph and...
The use of machine learning and computer vision methods for recognizing different plants from images...
The use of machine learning and computer vision methods for recognizing different plants from images...
This paper studies convolutional neural networks (CNN) to learn unsupervised feature representations...
Data augmentation plays a crucial role in increasing the number of training images, which often aids...
International audienceTo recognize tree species from pictures of their leaves, one way is to automat...
Recent progress in machine learning and deep learning has enabled the implementation of plant and cr...
This paper investigates the application of deep convolutional neural network (CNN) for herbal plant ...
Automatically distinguishing different types of plant images is a challenging problem relevant to bo...
The identification and classification of plant species are helpful to prevent the extinction of many...
The automatic characterization and classification of plant species is an important task for plant ta...
In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Con...
Modern scientific and technological advances allow botanists to use computer vision-based approaches...
Plant leaf classification involves identifying and categorizing plant species based on leaf characte...
Abstract Background The images of different flower species had small inter-class variations across d...
We use deep convolutional neural networks to identify the plant species captured in a photograph and...
The use of machine learning and computer vision methods for recognizing different plants from images...
The use of machine learning and computer vision methods for recognizing different plants from images...
This paper studies convolutional neural networks (CNN) to learn unsupervised feature representations...
Data augmentation plays a crucial role in increasing the number of training images, which often aids...
International audienceTo recognize tree species from pictures of their leaves, one way is to automat...
Recent progress in machine learning and deep learning has enabled the implementation of plant and cr...
This paper investigates the application of deep convolutional neural network (CNN) for herbal plant ...
Automatically distinguishing different types of plant images is a challenging problem relevant to bo...
The identification and classification of plant species are helpful to prevent the extinction of many...
The automatic characterization and classification of plant species is an important task for plant ta...
In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Con...
Modern scientific and technological advances allow botanists to use computer vision-based approaches...
Plant leaf classification involves identifying and categorizing plant species based on leaf characte...
Abstract Background The images of different flower species had small inter-class variations across d...
We use deep convolutional neural networks to identify the plant species captured in a photograph and...