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Oct
12
Using Hyperspectral Imager to Identifying Frozen Meals
This article discusses the use of hyperspectral imaging technology for identifying frozen meals. It highlights its ability to non-destructively analyze internal components and quality, improving detection efficiency and accuracy. The study demonstrates the technology's potential in food quality monitoring and its applications across various sectors.
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Sep
10
Hyperspectral Wavelength Extraction and Origin Identification Model for Spearmint
This study develops a non-destructive method for spearmint origin identification using hyperspectral imaging technology and machine learning models.
Sep
10
Application of ATH9010 in Monitoring Rice Diseases
This study utilizes the ATH9010 hyperspectral imaging system to accurately monitor rice disease severity using UAV data and deep learning models.
Aug
28
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Soil Pollution Monitoring Based on UAV Hyperspectral Imaging
This blog post discusses the use of UAV-based hyperspectral imaging technology for monitoring soil pollution, particularly focusing on heavy metal contamination. It explains how hyperspectral remote sensing leverages the unique spectral fingerprints of elements and compounds to identify and analyze soil properties. The study highlights the use of the Optosky ATH9010 system to collect hyperspectral data and develop models for assessing heavy metal distribution in soils, providing a more efficient and real-time alternative to traditional soil monitoring methods.
Aug
28
Ore Sorting Based on Hyperspectral Imaging Principles
This blog post explores the application of hyperspectral imaging technology in ore sorting, emphasizing its efficiency, non-contact nature, high precision, and automation capabilities. The post details how hyperspectral technology analyzes the spectral features of ores, enabling rapid and accurate identification and classification of minerals. The process involves capturing spectral data, preprocessing it, extracting relevant features, and applying spectral classification for effective ore sorting, ultimately improving the precision and efficiency of mining operations.
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