_ | nematode | _ |
Accurate Identification of Pine Wood | nematode | Disease with a Deep Convolution Neural Network |
Automatic Individual Detection and Separation of Multiple Overlapped | nematode | Worms Using Skeleton Analysis |
Celeganser: Automated Analysis of | nematode | Morphology and Age |
Characterizing Spatial Patterns of Pine Wood | nematode | Outbreaks in Subtropical Zone in China |
Classification of multi-focal | nematode | image stacks using a projection based multilinear approach |
Classification of | nematode | image stacks by an information fusion based multilinear approach |
Counting of Pine Wood | nematode | Based on VDNet Convolutional Neural Network |
Detection of Root-Knot | nematode | Meloidogyne luci Infestation of Potato Tubers Using Hyperspectral Remote Sensing and Real-Time PCR Molecular Methods |
Edge Detection Using Convolutional Neural Networks for | nematode | Development and Adaptation Analysis |
Hyperspectral Reflectance and Machine Learning Approaches for the Detection of Drought and Root-Knot | nematode | Infestation in Cotton |
hyperspectral reflectance data based model inversion methodology to detect reniform | nematode | s in cotton, A |
Identifying Pine Wood | nematode | Disease Using UAV Images and Deep Learning Algorithms |
Machine vision detection of isolated and overlapped | nematode | worms using skeleton analysis |
multi-direction image fusion based approach for classification of multi-focal | nematode | image stacks, A |
Multi-focal | nematode | image classification using the 3D X-Ray Transform |
Multi-focal | nematode | image stack classification using a projection-based multi-linear method |
Multilinear feature extraction and classification of multi-focal images, with applications in | nematode | taxonomy |
Segmenting and Detecting | nematode | in Coffee Crops Using Aerial Images |
Unmanned Aerial Vehicle (UAV) for Detection and Prediction of Damage Caused by Potato Cyst | nematode | G. pallida on Selected Potato Cultivars |
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