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Aug 30
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Application of Field Spectrometers in Water Quality Monitoring

This post introduces the application of field spectrometry technology in predicting and monitoring water pollution. By examining the relationship between water body reflectance spectra and water quality indicators, it demonstrates how spectral technology can be used for large-scale water quality monitoring and dynamic tracking of water pollution development.

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Aug 28
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Impact of Haze on Field Spectral Measurements

This post discusses the effects of haze on the measurement of field spectral curves, highlighting its impact on the accuracy of remote sensing parameters like vegetation index and soil line calculations. It analyzes how haze affects the smoothness of spectral curves and measurement accuracy, presenting the challenges haze poses for spectral data collection.

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Aug 22
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Research on Quantitative Inversion of Wheat Chlorophyll Content and Yield Based on Multispectral Imagery

Optosky utilizes advanced multispectral and hyperspectral imaging technologies to monitor wheat growth and forecast yield in China. By capturing and analyzing images at different growth stages, the study develops precise models for chlorophyll content and yield prediction. Key processes include meticulous image preprocessing, model construction using vegetation indices, and regular drone-based monitoring. This approach ensures accurate, timely insights crucial for agricultural management and economic development.

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Aug 09
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VIS-NIR Spectrometer in Transmittance Applications

This article introduces the applications, principles, and conclusion analysis of Optosky's VIS-NIR spectrometer in transmittance measurements.

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Oct 21
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Application of Hyperspectral Imaging in Industrial Food Packaging

    Hyperspectral imaging (HSI) captures information that is not available to the human eye. In addition, it can provide spatial information, as well as spectral information for each pixel in the image. 

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