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Published on: November 6, 2021
[Study on hyperspectral characteristics of apple florescence canopy]
Xi-Cun Zhu1, Geng-Xing Zhao, Tong Lei
1College of Resources and Environment, Shandong Agricultural University, Taian 271018, China. zxc@sdau.edu.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|December 30, 2009
Summary
This study analyzes apple florescence hyperspectral data to identify sensitive spectral bands for remote sensing. Key spectral regions show significant differences related to flowering amount, aiding in nutritional diagnosis.
Area of Science:
- Agricultural remote sensing
- Plant physiology
- Spectroscopy
Context:
- Hyperspectral imaging is crucial for non-destructive analysis of plant health and nutritional status.
- Understanding spectral signatures of apple florescence is vital for large-scale crop monitoring.
- Previous research has explored spectral characteristics, but detailed analysis of florescence canopy is needed.
Purpose:
- To systematically analyze hyperspectral characteristics of apple florescence canopy.
- To identify sensitive spectral bands for remote sensing applications in apple cultivation.
- To provide a theoretical basis for large-area apple information extraction and nutritional diagnosis.
Summary:
- Hyperspectral data from 120 apple florescence canopies were analyzed using variance analysis.
- Hyperspectrum curves stabilized with increased sample numbers.
- Specific spectral regions (350-500, 600-680, 760-1,300 nm) showed significant differences related to flowering amount, indicating sensitivity.
- Reflection rates varied at green peak (550 nm) and red valley (670 nm) with flowering amount.
- Red-edge position, slope, and area decreased with increased flowering.
Impact:
- Identifies key spectral bands for accurate remote sensing of apple florescence.
- Enables large-area information extraction and nutritional status assessment for apple crops.
- Contributes to precision agriculture by providing data for targeted interventions.
