ArticlePlant methods2018
RhizoChamber-Monitor: a robotic platform and software enabling characterization of root growth.
Article in Plant methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- GrowScreen-Rhizo 3 - automated large-scale high throughput greenhouse phenotyping of plant root and shoot development.Plant phenomics (Washington, D.C.) · 2026Article
- Heterogeneous agricultural robots: a review of collaborative sensing and control, challenges and opportunities.Frontiers in plant science · 2026Review
- Python algorithm package for automated Estimation of major legume root traits using two dimensional images.Scientific reports · 2025Article
- EcoBOT: an AI/ML enabled automated phenotyping capability for model plants.Frontiers in plant science · 2025Article
- Improved Transformer for Time Series Senescence Root Recognition.Plant phenomics (Washington, D.C.) · 2024Article
- Open-source workflow design and management software to interrogate duckweed growth conditions and stress responses.Plant methods · 2023Article
- Quantification of the three-dimensional root system architecture using an automated rotating imaging system.Plant methods · 2023Article
- Current Techniques to Study Beneficial Plant-Microbe Interactions.Microorganisms · 2022Review
- MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision.Plant methods · 2022Article
- Tiller estimation method using deep neural networks.Frontiers in plant science · 2022Article
- Recent advances in methods forPeerJ · 2022Review
- RhizoPot platform: A high-throughputFrontiers in plant science · 2022Article
- ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.GigaScience · 2021Article
- Assessment of root phenotypes in mungbean mini-core collection (MMC) from the World Vegetable Center (AVRDC) Taiwan.PloS one · 2021Article
- WinRoots: A High-Throughput Cultivation and Phenotyping System for Plant Phenomics Studies Under Soil Stress.Frontiers in plant science · 2021Article
- Phenotypic variability in bread wheat root systems at the early vegetative stage.BMC plant biology · 2020Article
- Computer vision and machine learning enabled soybean root phenotyping pipeline.Plant methods · 2020Article
- Mepiquat chloride promotes cotton lateral root formation by modulating plant hormone homeostasis.BMC plant biology · 2019Article
- MyROOT: a method and software for the semiautomatic measurement of primary root length in Arabidopsis seedlings.The Plant journal : for cell and molecular biology · 2019Article
- An Optimized Rhizobox Protocol to Visualize Root Growth and Responsiveness to Localized Nutrients.Journal of visualized experiments : JoVE · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn order to efficiently determine genotypic differences in rooting patterns of crops, novel hardware and software are needed simultaneously to characterize dynamics of root development.
resultsWe describe a prototype robotic monitoring platform-the RhizoChamber-Monitor for analyzing growth patterns of plant roots automatically. The RhizoChamber-Monitor comprises an automatic imaging system for acquiring sequential images of roots which grow on a cloth substrate in custom rhizoboxes, an automatic irrigation system and a flexible shading arrangement. A customized image processing software was developed to analyze the spatio-temporal dynamics of root growth from time-course images of multiple plants. This software can quantify overall growth of roots and extract detailed growth traits (e.g. dynamics of length and diameter) of primary roots and of individual lateral roots automatically. It can also identify local growth traits of lateral roots (pseudo-mean-length and pseudo-maximum-length) semi-automatically. Two cotton genotypes were used to test both the physical platform and the analysis software.
conclusionsThe combination of hardware and software is expected to facilitate quantification of root geometry and its spatio-temporal growth patterns, and therefore to provide opportunities for high-throughput root phenotyping in support of crop breeding to optimize root architecture.
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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.