ReviewPlant methods2020
Phenotypic techniques and applications in fruit trees: a review.
Review in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- InspectGaussian: Large-scale coarse-to-fine Gaussian reconstruction for orchard inspection robots.Plant phenomics (Washington, D.C.) · 2026Article
- Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds.GigaScience · 2026Article
- Variation of fruit phenotypic traits of Cinnamomum camphora from 11 provenances in China.PloS one · 2026Article
- Article
- OrchardQuant-3D: combining drone and LiDAR to perform scalable 3D phenotyping for characterising key canopy and floral traits in fruit orchards.Plant biotechnology journal · 2025Article
- Calculation method of canopy effective volume for fruit tree based on LiDAR point cloud data.Frontiers in plant science · 2025Article
- Research Progress of Spectral Imaging Techniques in Plant Phenotype Studies.Plants (Basel, Switzerland) · 2024Review
- Spatial Distribution Pattern ofEcology and evolution · 2024Article
- Object-oriented multi-scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images.Scientific reports · 2024Article
- The genetic basis of apple shape and size unraveled by digital phenotyping.G3 (Bethesda, Md.) · 2024Article
- YOLOC-tiny: a generalized lightweight real-time detection model for multiripeness fruits of large non-green-ripe citrus in unstructured environments.Frontiers in plant science · 2024Article
- Screening of Ginkgo Individuals with Superior Growth Structural Characteristics in Different Genetic Groups Using Terrestrial Laser Scanning (TLS) Data.Plant phenomics (Washington, D.C.) · 2023Article
- Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression.Sensors (Basel, Switzerland) · 2022Article
- Progress on Infrared Imaging Technology in Animal Production: A Review.Sensors (Basel, Switzerland) · 2022Review
- Research hotspots and frontiers in agricultural multispectral technology: Bibliometrics and scientometrics analysis of the Web of Science.Frontiers in plant science · 2022Article
- Modeling of Individual Fruit-Bearing Capacity of Trees Is Aimed at Optimizing Fruit Quality ofFrontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenotypic information is of great significance for irrigation management, disease prevention and yield improvement. Interest in the evaluation of phenotypes has grown with the goal of enhancing the quality of fruit trees. Traditional techniques for monitoring fruit tree phenotypes are destructive and time-consuming. The development of advanced technology is the key to rapid and non-destructive detection. This review describes several techniques applied to fruit tree phenotypic research in the field, including visible and near-infrared (VIS-NIR) spectroscopy, digital photography, multispectral and hyperspectral imaging, thermal imaging, and light detection and ranging (LiDAR). The applications of these technologies are summarized in terms of architecture parameters, pigment and nutrient contents, water stress, biochemical parameters of fruits and disease detection. These techniques have been shown to play important roles in fruit tree phenotypic research.
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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.