ReviewPlants (Basel, Switzerland)2023
Image-Based High-Throughput Phenotyping in Horticultural Crops.
Review in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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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
25 citing papers in PubMed.
- PhenoRob-P: An autonomous robotic system for high-throughput phenotyping of potted plants.Plant phenomics (Washington, D.C.) · 2026Article
- High-throughput screening of heat stress response in Chinese cabbage (Plant phenomics (Washington, D.C.) · 2026Article
- Association mapping integrated with image-based phenomics identifies SNPs and candidate genes underpinning fruit morphology and development in chile pepper (Capsicum annum L.).G3 (Bethesda, Md.) · 2026Article
- Quantification of lettuce leaf DUS test traits and phenotypic fingerprint construction for variety identification.Plant phenomics (Washington, D.C.) · 2026Article
- Effect of Blending Ratio and Fermentation Time on the Quality and Acceptability of Injera Produced from a Composite of Teff, Maize, and Potato Flours.Food science & nutrition · 2026Article
- Enhancing agronomic traits and bioactive compound accumulation in Thai Andrographis paniculata via EMS-induced variation.BMC plant biology · 2026Article
- Dual-platform screening of stripe rust resistance in advanced wheat breeding lines: integration of vegetation indices and SSR marker-based genotyping.Frontiers in plant science · 2026Article
- Photosynthetic responses and growth dynamics ofPhotosynthetica · 2026Article
- Advancements in photosynthetic efficiency: Pathways, regulation, and biotechnological applications for enhancing crop productivity.Plant signaling & behavior · 2025Review
- Speed breeding enhances crop resilience and productivity in a changing climate.Molecular breeding : new strategies in plant improvement · 2025Review
- Rapid detection of soybean nutrient deficiencies with YOLOv8s for precision agriculture advancement.Scientific reports · 2025Article
- Optimized framework for evaluating F3 transgressive segregants in cayenne pepper.BMC plant biology · 2025Article
- Using Quantitative Trait Locus Mapping and Genomic Resources to Improve Breeding Precision in Peaches: Current Insights and Future Prospects.Plants (Basel, Switzerland) · 2025Review
- From data to decisions: a paradigm shift in fruit agriculture through the integration of multi-omics, modern phenotyping, and cutting-edge bioinformatic tools.Frontiers in plant science · 2025Review
- The pipelines of deep learning-based plant image processing.Quantitative plant biology · 2025Review
- Multi-objective RGB-D fusion network for non-destructive strawberry trait assessment.Frontiers in plant science · 2025Article
- Zero-shot instance segmentation for plant phenotyping in vertical farming with foundation models and VC-NMS.Frontiers in plant science · 2025Article
- Multimodal Data Fusion for Precise Lettuce Phenotype Estimation Using Deep Learning Algorithms.Plants (Basel, Switzerland) · 2024Article
- BerryPortraits: Phenotyping Of Ripening Traits cranberry (Vaccinium macrocarpon Ait.) with YOLOv8.Plant methods · 2024Article
- Evaluation of the Spike Diversity of Seven Hexaploid Wheat Species and an Artificial Amphidiploid Using a Quadrangle Model Obtained from 2D Images.Plants (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Plant phenotyping is the primary task of any plant breeding program, and accurate measurement of plant traits is essential to select genotypes with better quality, high yield, and climate resilience. The majority of currently used phenotyping techniques are destructive and time-consuming. Recently, the development of various sensors and imaging platforms for rapid and efficient quantitative measurement of plant traits has become the mainstream approach in plant phenotyping studies. Here, we reviewed the trends of image-based high-throughput phenotyping methods applied to horticultural crops. High-throughput phenotyping is carried out using various types of imaging platforms developed for indoor or field conditions. We highlighted the applications of different imaging platforms in the horticulture sector with their advantages and limitations. Furthermore, the principles and applications of commonly used imaging techniques, visible light (RGB) imaging, thermal imaging, chlorophyll fluorescence, hyperspectral imaging, and tomographic imaging for high-throughput plant phenotyping, are discussed. High-throughput phenotyping has been widely used for phenotyping various horticultural traits, which can be morphological, physiological, biochemical, yield, biotic, and abiotic stress responses. Moreover, the ability of high-throughput phenotyping with the help of various optical sensors will lead to the discovery of new phenotypic traits which need to be explored in the future. We summarized the applications of image analysis for the quantitative evaluation of various traits with several examples of horticultural crops in the literature. Finally, we summarized the current trend of high-throughput phenotyping in horticultural crops and highlighted future perspectives.
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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.