Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 8, 2025AgriEngineeringOpen Access

Study on the Retrieval of Leaf Area Index for Summer Maize Based on Hyperspectral Data

View Full Paper
Ask AI
Bookmark
Share

Authors

TZTian Zhang

Discussion

Loading...

Member takes

Overview

Stepwise regression analysis reveals ensemble learning algorithms optimize leaf area index estimation in maize, indicating climate adaptability.

Key Points

  • This research aims to assess the impact of planting date variations on leaf area index retrieval for summer maize under climate change.
  • Examined summer maize at various planting dates in the North China Plain.
  • Used stepwise regression analysis to analyze spectral parameters and effective accumulated temperature.
  • Employed Random Forest and other ensemble learning algorithms for LAI inversion model construction.
  • Key bands concentrated in the 0.7–1.2 order range, primarily in the red edge and near-infrared bands.
  • Average R2 values of 0.93 for Random Forest and 0.92 for AdaBoost demonstrated high model accuracy.
  • 20-day delayed planting notably decreased model accuracy, indicating climate impact on LAI estimation.

Cite This Study

Tian Zhang (2025) studied this question.

synapsesocial.com/papers/693624ce4fa91c937236cdc4https://doi.org/10.3390/agriengineering7120418
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Field-Scale Maize Yield Estimation Using Remote Sensing with the Integration of Agronomic Traits2025
  2. 2Logistic Modelling of Silage Maize LAI Dynamics Under Different Irrigation Regimes: A Strategy for Optimizing Crop Yield2025 · 1 citations
  3. 3Leaf Area Index Estimation of Grassland Based on UAV-Borne Hyperspectral Data and Multiple Machine Learning Models in Hulun Lake Basin2025
  4. 4Methodological Study on Maize Water Stress Diagnosis Based on UAV Multispectral Data and Multi-Model Comparison2025
  5. 5Development of Maize Canopy Architecture Indicators Through UAV Multi-Source Data2025