ArticleFrontiers in plant science2022
Performance comparison of RGB and multispectral vegetation indices based on machine learning for estimating
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 45 citations in OpenAlex.
- Land Use/Land Cover Classification and Its Variability Along the Jiangsu Coast Based on Pearson-SHAP-RFE Feature Selection from Landsat Imagery.Sensors (Basel, Switzerland) · 2026Article
- Machine learning techniques for accessing the chlorophyll content and fluorescence in maize based on UAV multispectral sensor.BMC plant biology · 2026Article
- Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture.ACS ES&T engineering · 2026Article
- Robust retrieval of biophysical traits under shade gradients in youngFrontiers in plant science · 2026Article
- Estimation of chlorophyll content in cotton leaves using UAV RGB imagery.Frontiers in plant science · 2026Article
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- Multispectral drone imagery dataset for plus and non-plusData in brief · 2025Article
- Two-fold red excess (TREx): a simple and novel digital color index that enables non-invasive real-time monitoring of green-leaved as well as anthocyanin-rich crops.Plant methods · 2025Article
- The Inversion of SPAD Value in Pear Tree Leaves by Integrating Unmanned Aerial Vehicle Spectral Information and Textural Features.Sensors (Basel, Switzerland) · 2025Article
- Assessing nutritional pigment content of green and red leafy vegetables by image analysis: Catching the "red herring" of plant digital color processing via machine learning.Biology methods & protocols · 2025Article
- Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery.Sensors (Basel, Switzerland) · 2024Article
- Utilization of interpretable machine learning model to forecast the risk of major adverse kidney events in elderly patients in critical care.Renal failure · 2023Article
- Early Identification of Root Damages Caused by Western Corn Rootworms Using a Minimally Invasive Root Phenotyping Robot-MISIRoot.Sensors (Basel, Switzerland) · 2023Article
- UAV imagery data and machine learning: A driving merger for predictive analysis of qualitative yield in sugarcane.Frontiers in plant science · 2023Article
- Article
- A web-based novel prediction model for predicting depression in elderly patients with coronary heart disease: A multicenter retrospective, propensity-score matched study.Frontiers in psychiatry · 2022Article
- GreenLeafVI: A FIJI Plugin for High-Throughput Analysis of Leaf Chlorophyll Content.Physiologia plantarumArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reasonable cultivation is an important part of the protection work of endangered species. The timely and nondestructive monitoring of chlorophyll can provide a basis for the accurate management and intelligent development of cultivation. The image analysis method has been applied in the nutrient estimation of many economic crops, but information on endangered tree species is seldom reported. Moreover, shade control, as the common seedling management measure, has a significant impact on chlorophyll, but shade levels are rarely discussed in chlorophyll estimation and are used as variables to improve model accuracy. In this study, 2-year-old seedlings of tropical and endangered
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