ArticleFrontiers in plant science2020
Greenotyper: Image-Based Plant Phenotyping Using Distributed Computing and Deep Learning.
Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed.
- Artificial intelligence in plant science: from image-based phenotyping to yield and trait prediction.Frontiers in plant science · 2025Review
- Beyond the genome: the role of functional markers in contemporary plant breeding.Frontiers in plant science · 2025Review
- Enhancing cotton whitefly (Bemisia tabaci) detection and counting with a cost-effective deep learning approach on the Raspberry Pi.Plant methods · 2024Article
- A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping.Plants (Basel, Switzerland) · 2023Review
- A method of cotton root segmentation based on edge devices.Frontiers in plant science · 2023Article
- Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals.Frontiers in plant science · 2023Review
- PhytoOracle: Scalable, modular phenomics data processing pipelines.Frontiers in plant science · 2023Article
- Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean.Frontiers in plant science · 2023Article
- Open Hardware in Science: The Benefits of Open Electronics.Integrative and comparative biology · 2022Review
- Machine Learning for Plant Stress Modeling: A Perspective towards Hormesis Management.Plants (Basel, Switzerland) · 2022Review
- Development of a high-throughput field phenotyping rover optimized for size-limited breeding fields as open-source hardware.Breeding science · 2022Article
- Major effect loci for plant size before onset of nitrogen fixation allow accurate prediction of yield in white clover.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- CBM: An IoT Enabled LiDAR Sensor for In-Field Crop Height and Biomass Measurements.Biosensors · 2021Article
- Competition, Nodule Occupancy, and Persistence of Inoculant Strains: Key Factors in theFrontiers in plant science · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image-based phenotype data with high temporal resolution offers advantages over end-point measurements in plant quantitative genetics experiments, because growth dynamics can be assessed and analysed for genotype-phenotype association. Recently, network-based camera systems have been deployed as customizable, low-cost phenotyping solutions. Here, we implemented a large, automated image-capture system based on distributed computing using 180 networked Raspberry Pi units that could simultaneously monitor 1,800 white clover (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.