ArticlePlants (Basel, Switzerland)2025
Estimating Maize Leaf Area Index Using Multi-Source Features Derived from UAV Multispectral Imagery and Machine Learning Models.
Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A multi-scale supervised contrastive framework for cross-domain soybean disease classification using leaf and UAV imagery.Scientific reports · 2026Article
- Estimation of Nitrogen Status inPlants (Basel, Switzerland) · 2026Article
- Soil Moisture Inversion in Alfalfa via UAV with Feature Fusion and Ensemble Learning.Plants (Basel, Switzerland) · 2026Article
- Rice aboveground biomass estimation based on three-dimensional dry matter distribution integration model.Frontiers in plant science · 2026Article
- Advancing Precision Agriculture and Forestry: Multi-Source Spectral Sensing, Feature Fusion, and Machine Learning.Plants (Basel, Switzerland) · 2025Article
- A Precise Apple Quality Prediction Model Integrating Driving Factor Screening and BP Neural Network.Plants (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Leaf area index (LAI) is a critical indicator of canopy architecture and physiological performance, serving as a key parameter for crop growth monitoring and management. Although UAV multispectral imagery provides rich spectral and spatial information, the limitations of single texture features for LAI estimation still require further exploration. To address this issue, this study developed a multi-source feature fusion framework that integrates vegetation indices (VIs), texture features (TFs), and texture indices (TIs) within a stacked ensemble approach combining Partial Least Squares Regression (PLSR) with Support Vector Machine (SVM), Random Forest (RF), and Gradient Boosting Decision Tree (GBDT) algorithms to estimate maize LAI.A field experiment was conducted under three planting densities (42,000, 63,000, and 84,000 plants ha
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Registered trials
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