Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision
Y Tang, H Zhou, H Wang, Y Zhang - Expert systems with applications, 2023 - Elsevier
In the complex environment of an orchard, changes in illumination, leaf occlusion, and fruit
overlap make it challenging for mobile picking robots to detect and locate oil-seed camellia …
overlap make it challenging for mobile picking robots to detect and locate oil-seed camellia …
Plant leaf identification based on shape and convolutional features
H Wu, L Fang, Q Yu, J Yuan, C Yang - Expert Systems with Applications, 2023 - Elsevier
Plant leaf identification is an important and challenging issue in botany and image analysis.
This is because leaves of the same class exhibit very large differences, and leaves of …
This is because leaves of the same class exhibit very large differences, and leaves of …
Symmetric binary tree based co-occurrence texture pattern mining for fine-grained plant leaf image retrieval
Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
Fusing deep learning features of triplet leaf image patterns to boost soybean cultivar identification
Soybean cultivar recognition plays a vital role in cultivar evaluation, selection and
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …
Transfer learning for leaf small dataset using improved ResNet50 network with mixed activation functions
R Zhang, Y Zhu, Z Ge, H Mu, D Qi, H Ni - Forests, 2022 - mdpi.com
Taxonomic studies of leaves are one of the most effective means of correctly identifying plant
species. In this paper, mixed activation function is used to improve the ResNet50 network in …
species. In this paper, mixed activation function is used to improve the ResNet50 network in …
Fan-beam binarization difference projection (FB-BDP): A novel local object descriptor for fine-grained leaf image retrieval
Fine-grained leaf image retrieval (FGLIR) aims to search similar leaf images in subspecies
level which involves very high interclass visual similarity and accordingly poses great …
level which involves very high interclass visual similarity and accordingly poses great …
A learning robust and discriminative shape descriptor for plant species identification
C Yang, L Fang, Q Yu, H Wei - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
Plant identification based on leaf images is a widely concerned application field in artificial
intelligence and botany. The key problem is extracting robust discriminative features from …
intelligence and botany. The key problem is extracting robust discriminative features from …
Composite descriptor based on contour and appearance for plant species identification
H Wu, L Fang, Q Yu, C Yang - Engineering Applications of Artificial …, 2024 - Elsevier
In this paper, we propose an effective composite descriptor combining contour and
appearance features for plant species identification. The composite descriptor uses two …
appearance features for plant species identification. The composite descriptor uses two …
Kernel pooling feature representation of pre-trained convolutional neural networks for leaf recognition
S Feng - Multimedia Tools and Applications, 2022 - Springer
Due to the presence of various types of factors, such as illumination, viewpoint, intra-class
complexity, and inter-class similarity, which make plant leaf recognition still a challenging …
complexity, and inter-class similarity, which make plant leaf recognition still a challenging …
Fine-grained plant leaf image retrieval using local angle co-occurrence histograms
Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …