A survey on 3D reconstruction techniques in plant phenotyping: From classical methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and beyond

Subjects: “…Agriculture & Food Sciences…”
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Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning

Subjects: “…Agriculture & Food Sciences…”
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Assessment of Forest Loss Following Snow and Ice Storms Using the LiDAR Forest Structure Change Index

Subjects: “…Agriculture & Food Sciences…”
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Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++

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Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine

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Bayesian adaptive sampling: A smart approach for affordable germination phenotyping

Subjects: “…Agriculture & Food Sciences…”
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Performance of stacking machine learning and volume model for improving corn above ground biomass prediction

Subjects: “…Agriculture & Food Sciences…”
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Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress

Subjects: “…Agriculture & Food Sciences…”
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Generation of labeled leaf point clouds for plants trait estimation

Subjects: “…Agriculture & Food Sciences…”
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A keypoint-based method for detecting weed growth points in corn field environments

Subjects: “…Agriculture & Food Sciences…”
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CitrusGAN: sparse-view X-ray CT reconstruction for citrus based on generative adversarial networks

Subjects: “…Agriculture & Food Sciences…”
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Field phenotyping for soybean density tolerance using time-series prediction and dynamic modeling

Subjects: “…Agriculture & Food Sciences…”
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PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops

Subjects: “…Agriculture & Food Sciences…”
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FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection

Subjects: “…Agriculture & Food Sciences…”
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Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning

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Seeing the unseen: A novel approach to extract latent plant root traits from digital images

Subjects: “…Agriculture & Food Sciences…”
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RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds

Subjects: “…Agriculture & Food Sciences…”
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Multi-modal few-shot learning for anthesis prediction of individual wheat plants

Subjects: “…Agriculture & Food Sciences…”
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TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud

Subjects: “…Agriculture & Food Sciences…”
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ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models

Subjects: “…Agriculture & Food Sciences…”
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