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Sep 14
media

Field Spectroradiometer Kiwi Ripeness Detection

The article details using the ATP9100 field spectroradiometer to determine kiwifruit ripeness through spectral analysis, showing it effectively distinguishes between ripe and unripe fruit.

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Aug 30
media

Moisture Content in Forest Litter and Infrared Spectroscopy

This post explores the importance of real-time measurement of moisture content in forest litter using infrared spectroscopy. It discusses how different moisture levels influence the infrared absorption spectrum of vegetation and explains how spectral data can be used to build predictive models for forest fire prevention.

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Aug 30
media

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
media

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
media

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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