AI Article Synopsis
- The study measured the hyperspectral reflectance of apple tree canopy during the spring growth pause using an ASD FieldSpec3 spectrometer.
- Significant spectral parameters were identified that correlate with chlorophyll content, leading to the establishment of a chlorophyll estimation model based on specific vegetation indices.
- The findings indicate that the 400-1,350 nm spectral band is sensitive for measuring chlorophyll content, with the CCI(D(794)/D(763)) index being the most effective for accurate chlorophyll prediction in apple tree canopies.
Article Abstract
The hyperspectral reflectance of apple tree canopy during spring shoots stopping growth period was measured using ASD FieldSpec3 field spectrometer. Original spectral data were processed in deviation forms, and significant spectrum parameters correlated with chlorophyll content were found out with correlation analysis. The best vegetation indices were chosen and the apple canopy chlorophyll content estimation model was established by analyzing vegetation index of two-band combination in the sensitive region 400-1 350 nm. The result showed that (1) The sensitive band region of apple canopy chlorophyll content is 400-1 350 nm. (2) The vegetation index CCI(D(794)/D(763)) can commendably estimate the apple canopy chlorophyll content. (3) The model with CCI(D(794)/D(763)) as the independent variables was determined to be the best for chlorophyll content prediction of apple tree canopy. Therefore, using hyperspectral technology can estimate apple canopy chlorophyll content more rapidly and accurately, and provides a theoretical basis for rapid apple tree canopy nutrition diagnosis and growth monitoring.
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