Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method

J Qin, TF Burks, MS Kim, K Chao… - … and Instrumentation for …, 2008 - Springer
Citrus canker is one of the most devastating diseases that threaten marketability of citrus
crops. Technologies that can efficiently identify citrus canker would assure fruit quality and …
被引用次数：137 相关文章

Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method

J Qin, TF Burks, MS Kim, K Chao… - Journal of Food …, 2008 - infona.pl
Citrus canker is one of the most devastating diseases that threaten marketability of citrus
crops. Technologies that can efficiently identify citrus canker would assure fruit quality and …

CITRUS CANKER DETECTION USING HYPERSPECTRAL REFLECTANCE IMAGING AND PCA-BASED IMAGE CLASSIFICATION METHOD

J Qin, T Burke, MS Kim, K Chao… - … and Instrumentation for …, 2008 - ars.usda.gov
Scientists at the Food Safety Laboratory, ARS have developed various nondestructive
sensing devices to obtain the quality and safety attributes from agricultural products. In this …
[PDF] researchgate.net

[PDF][PDF] Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method

J Qin, TF Burks, MS Kim, K Chao, MA Ritenour - researchgate.net
Citrus canker is one of the most devastating diseases that threaten marketability of citrus
crops. Technologies that can efficiently identify citrus canker would assure fruit quality and …

[引用][C] Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method

J Qin, TF Burks, MS Kim, K Chao… - … and Instrumentation for …, 2008 - Springer