研究目的
To evaluate the potential of hyperspectral imaging coupled with chemometrics for the qualitative and quantitative diagnosis of nitrogen (N) status in tea plants under ?eld conditions.
研究成果
The hyperspectral imaging system combined with chemometrics can be an effective and accurate tool for qualitative and quantitative diagnosis of N status of tea plants under field condition. The LS-SVM model accurately discriminated different N status, and the PLSR model yielded excellent performance for LNC estimation.
研究不足
The study acknowledges that plant variety, geographical location, and growth stage influence N status in tea plants, suggesting the need for more comprehensive diagnostic models for diverse varieties under different environmental conditions.
1：Experimental Design and Method Selection:
A ?eld experiment was carried out with tea plants treated with different N application rates. Hyperspectral imaging was used to acquire data from mature leaves.
2：Sample Selection and Data Sources:
Mature leaves from tea plants under different N application rates were collected.
3：List of Experimental Equipment and Materials:
Hyperspectral imaging system including an imaging spectrograph, CCD camera, camera lens, tungsten halogen lamps, and a stepper motor.
4：Experimental Procedures and Operational Workflow:
Leaves were scanned in a line-scanning configuration, and raw images were corrected using black and white reference images.
5：Data Analysis Methods:
Partial least squares discriminative analysis (PLS-DA), least squares–support vector machines (LS-SVM), and partial least squares regression (PLSR) were used for data analysis.
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