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Plant Phenotyping

Plant Phenotyping refers to the use of various techniques and methods to measure and describe the external characteristics and traits of plants. In the field of machine learning, Plant Phenotyping typically involves the use of tools such as image processing, computer vision, sensor technologies, etc., to automatically capture and analyze data related to the morphology, structure, and growth patterns of plants.

Papers

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Showing 11–20 of 74 papers

TitleStatusHype
Segmentation and Tracking of Vegetable Plants by Exploiting Vegetable Shape Feature for Precision Spray of Agricultural RobotsCode1
A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and BeyondCode1
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpaCode1
LeafMask: Towards Greater Accuracy on Leaf SegmentationCode1
Scalable learning for bridging the species gap in image-based plant phenotypingCode1
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic ReviewCode1
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural DomainCode1
Automated Pruning of Polyculture Plants—0
AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images—0
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