Deep learning in plant phenotyping: the first ten years

Subjects: “…AI and Smart Agriculture…”
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From leaf to canopy: Inversion of lettuce pigment distribution using hyperspectral imaging technology combined with deep learning algorithms

Subjects: “…AI and Smart Agriculture…”
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Design of a binocular multispectral stereo imaging system and its application in plant phenotyping

Subjects: “…AI and Smart Agriculture…”
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IPENS: Interactive unsupervised framework for rapid plant phenotyping extraction via NeRF-SAM2 fusion

Subjects: “…AI and Smart Agriculture…”
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Establishment of a high-throughput field defoliation data survey strategy combined with genome-wide association studies to reveal the genetic basis of defoliation in cotton

Subjects: “…AI and Smart Agriculture…”
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Nondestructive individual tree aboveground biomass estimation using a hierarchical Bayesian approach in combination with individual tree competition indices

Subjects: “…AI and Smart Agriculture…”
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SegPPD-FS: Segmenting plant pests and diseases in the wild using few-shot learning

Subjects: “…AI and Smart Agriculture…”
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Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images

Subjects: “…AI and Smart Agriculture…”
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High-throughput plant phenotyping identifies and discriminates biotic and abiotic stresses in tomato

Subjects: “…AI and Smart Agriculture…”
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DeepSpecN: A new hybrid method combining PROSPECT-PRO and Conv-Transformer to estimate leaf nitrogen content from leaf reflectance

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

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

Subjects: “…AI and Smart Agriculture…”
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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...

Subjects: “…AI and Smart Agriculture…”
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CornPheno: Phenotyping corn ear kernels in the wild via point query transformer

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

Subjects: “…AI and Smart Agriculture…”
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panomiX: Investigating mechanisms of trait emergence through multi-omics data integration

Subjects: “…AI and Smart Agriculture…”
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Comparing statistical ‘phenomic prediction’ models for remote-sensing-based phenotyping of maize susceptibility to common rust

Subjects: “…AI and Smart Agriculture…”
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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

Subjects: “…AI and Smart Agriculture…”
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Structural parameter determination and pruning pattern analysis of pear tree shoots for dormant pruning

Subjects: “…AI and Smart Agriculture…”
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Rapid acquisition of ionomic and morphological data from plant seeds through fast X-ray fluorescence microscopy and computer vision

Subjects: “…AI and Smart Agriculture…”
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