ArticleFrontiers in plant science2023
PhytoOracle: Scalable, modular phenomics data processing pipelines.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Rhizosphere Microbiome Engineering for Climate-Smart Agriculture: From Synthetic Consortia to Precision Decision Support.Microorganisms · 2026Review
- Strategies to improve photosynthesis by modifying the RuBisCO system and its limitations.Molecular biology reports · 2025Review
- High-resolution phenomics dataset collected on a field-grown, EMS-mutagenized sorghum population evaluated in hot, arid conditions.BMC research notes · 2025Article
- Article
- CyVerse: Cyberinfrastructure for open science.PLoS computational biology · 2024Article
- AgTC and AgETL: open-source tools to enhance data collection and management for plant science research.Frontiers in plant science · 2024Article
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Authors and funding
19 authors.
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Abstract
As phenomics data volume and dimensionality increase due to advancements in sensor technology, there is an urgent need to develop and implement scalable data processing pipelines. Current phenomics data processing pipelines lack modularity, extensibility, and processing distribution across sensor modalities and phenotyping platforms. To address these challenges, we developed PhytoOracle (PO), a suite of modular, scalable pipelines for processing large volumes of field phenomics RGB, thermal, PSII chlorophyll fluorescence 2D images, and 3D point clouds. PhytoOracle aims to (
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