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International Journal of Food Properties Volume 22, 2019 - Issue 1
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Original Article

Prediction of the chlorophyll content in pomegranate leaves based on digital image processing technology and stacked sparse autoencoder

Yingshu Penga College of Forestry, Nanjing Forestry University, Nanjing, PR ChinaCorrespondence[email protected]
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Yi Wangb Jiangsu Wiscom Technology Co. Ltd, Nanjing, PR ChinaView further author information
Pages 1720-1732 | Received 16 May 2019, Accepted 27 Sep 2019, Published online: 10 Oct 2019

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