Generation of labeled leaf point clouds for plants trait estimation

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A keypoint-based method for detecting weed growth points in corn field environments

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CitrusGAN: sparse-view X-ray CT reconstruction for citrus based on generative adversarial networks

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Field phenotyping for soybean density tolerance using time-series prediction and dynamic modeling

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PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops

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FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection

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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

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RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds

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Multi-modal few-shot learning for anthesis prediction of individual wheat plants

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TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud

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ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models

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Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming

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Analysis of Wheat Spike Morphological Traits by 2D Imaging

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De-occlusion models and diffusion-based data augmentation for size estimation of on-plant oriental melons

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KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images

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Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements

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Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight

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Development of an automated phenotyping platform and identification of a novel QTL for drought tolerance in soybean

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Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review

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