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A Non-Destructive Method for Identification of Plants in Gentiana Based on Deep Learning

https://doi.org/10.2139/ssrn.4674638
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LeafNet: A computer vision system for automatic plant species identification
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inferredcites →https://doi.org/10.1016/j.jep.2020.113391openalex-extracted
Genus Gentiana: A review on phytochemistry, pharmacology and molecular mechanism
inferredcites →https://doi.org/10.1016/j.lfs.2005.09.012openalex-extracted
Drug discovery from medicinal plants
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Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs
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YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
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MobileOne: An Improved One millisecond Mobile Backbone
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Survey of Deep Learning Based Object Detection
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Natural Resource Monitoring of Rheum tanguticum by Multilevel Remote Sensing
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Conservation and sustainable use of medicinal plants: problems, progress, and prospects
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Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
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YOLO-VOLO-LS: A Novel Method for Variety Identification of Early Lettuce Seedlings
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An AI Based Approach for Medicinal Plant Identification Using Deep CNN Based on Global Average Pooling
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A Faster R-CNN-Based Model for the Identification of Weed Seedling
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Maize Leaf Disease Identification Based on YOLOv5n Algorithm Incorporating Attention Mechanism
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YOLO-Based UAV Technology: A Review of the Research and Its Applications
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A Non-Destructive Method for Identification of Tea Plant Cultivars Based on Deep Learning
inferredcites →https://doi.org/10.3390/ijms19071962openalex-extracted
Comparative Chloroplast Genome Analyses of Species in Gentiana section Cruciata (Gentianaceae) and the Development of Authentication Markers
inferredcites →https://doi.org/10.3390/plants10081628openalex-extracted
Automated Grapevine Cultivar Identification via Leaf Imaging and Deep Convolutional Neural Networks: A Proof-of-Concept Study Employing Primary Iranian Varieties
inferredcites →https://doi.org/10.3390/rs12182981openalex-extracted
Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework
inferredcites →https://doi.org/10.3390/rs12244185openalex-extracted
Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/s21113758openalex-extracted
Machine Learning in Agriculture: A Comprehensive Updated Review
inferredcites →https://doi.org/10.3390/su132111865openalex-extracted
GRASP-125: A Dataset for Greek Vascular Plant Recognition in Natural Environment
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Flower Mapping in Grasslands With Drones and Deep Learning
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