ArticleFrontiers in plant science2019
Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms.
Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- A renewed focus on carbon uptake and use to enhance crop performance in the face of rising temperatures.Plant physiology · 2026Review
- Machine learning surrogate for the leaf PROSPECT-D model and its applications across plant species.Scientific reports · 2026Article
- Full-Spectrum Hyperspectral Modeling of Leaf Dry Matter Content Using a Stacked Ensemble Framework.Sensors (Basel, Switzerland) · 2026Article
- Generalizability and transferability of machine learning models using hyperspectral reflectance data for maize traits.Scientific reports · 2026Article
- Exploring prediction mechanisms for temperature-induced variation in maximum carboxylation rate from spectral reflectance across 450-850 nm in cucumber leaves.Photosynthetica · 2026Article
- Transferable spectral models for high-throughput estimation of winter wheat net photosynthetic rate: a cross-scale approach using leaf and UAV hyperspectral data.Frontiers in plant science · 2026Article
- Smarter stomata: emergent technologies unlocking yield potential in a changing climate.AoB PLANTS · 2025Review
- A guide to understanding and measuring photosynthetic induction: considerations and recommendations.The New phytologist · 2025Review
- High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits.Plant phenomics (Washington, D.C.) · 2025Article
- High-throughput method for improving rice AGB estimation based on UAV multi-source remote sensing image feature fusion and ensemble learning.Frontiers in plant science · 2025Article
- Article
- Hyperspectral Proximal Sensing for Estimating Photosynthetic Capacities at Leaf and Canopy Scales.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Prediction of wheat SPAD using integrated multispectral and support vector machines.Frontiers in plant science · 2024Article
- Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation.Frontiers in plant science · 2024Article
- Discrimination of leaf diseases in Maize/Soybean intercropping system based on hyperspectral imaging.Frontiers in plant science · 2024Article
- Non-Invasive Assessment, Classification, and Prediction of Biophysical Parameters Using Reflectance Hyperspectroscopy.Plants (Basel, Switzerland) · 2023Article
- Dissection of Hyperspectral Reflectance to Estimate Photosynthetic Characteristics in Upland Cotton (Plants (Basel, Switzerland) · 2023Article
- Sustaining yield and nutritional quality of peanuts in harsh environments: Physiological and molecular basis of drought and heat stress tolerance.Frontiers in genetics · 2023Review
- Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods.Frontiers in plant science · 2023Review
- Classification of Plant Endogenous States Using Machine Learning-Derived Agricultural Indices.Plant phenomics (Washington, D.C.) · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Global agriculture production is challenged by increasing demands from rising population and a changing climate, which may be alleviated through development of genetically improved crop cultivars. Research into increasing photosynthetic energy conversion efficiency has proposed many strategies to improve production but have yet to yield real-world solutions, largely because of a phenotyping bottleneck. Partial least squares regression (PLSR) is a statistical technique that is increasingly used to relate hyperspectral reflectance to key photosynthetic capacities associated with carbon uptake (maximum carboxylation rate of Rubisco,
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Registered trials
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