DeepSpecN: A new hybrid method combining PROSPECT-PRO and Conv-Transformer to estimate leaf nitrogen content from leaf reflectance

Subjects: “…Agriculture & Food Sciences…”
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Aerial imagery and Segment Anything Model for architectural trait phenotyping to support genetic analysis in peanut breeding

Subjects: “…Agriculture & Food Sciences…”
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Detecting nematodes in potato plants an explainable machine learning approach for detection of potato cyst nematode infections using hyperspectral imaging

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The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (Oryza...

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CornPheno: Phenotyping corn ear kernels in the wild via point query transformer

Subjects: “…Agriculture & Food Sciences…”
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Combining rEW-2DCOS and mechanism-guided adaptive ensemble learning to improve the retrieval of leaf nitrogen, phosphorus, and potassium contents

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panomiX: Investigating mechanisms of trait emergence through multi-omics data integration

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Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust

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Leaf bidirectional reflectance distribution function (BRDF) prediction with phenotypic traits in four species: Development of a novel measuring and analyzing framework

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Structural parameter determination and pruning pattern analysis of pear tree shoots for dormant pruning

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Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision

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UAV-LiDAR high-throughput time-series phenotyping and genome-wide association analysis reveal the genetic basis of plant height in peanut (Arachis hypogaea L.)

Subjects: “…Agriculture & Food Sciences…”
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Grading evaluation of haploid fertility restoration traits based on inception-ResNet in maize

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Multi-trait spectral modeling for estimating grapevine leaf traits and nutrients

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RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability

Subjects: “…Agriculture & Food Sciences…”
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WPDSI: A deep learning method for wheat phenology detection from single-temporal images

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3D reconstruction of root system architecture in urban forest parks based on ground penetrating radar instantaneous amplitude analysis

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LeafGen: Structure-aware Leaf Image Generation for Annotation-free Leaf Instance Segmentation

Subjects: “…Agriculture & Food Sciences…”
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3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion

Subjects: “…Agriculture & Food Sciences…”
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Deep learning for three-dimensional (3D) plant phenomics

Subjects: “…Agriculture & Food Sciences…”
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