Hyperspectral prediction of pigment content in tomato leaves based on logistic-optimized sparrow search algorithm and back propagation neural network

Leaf pigment content can reflect the nutrient elements content of the cultivation medium indirectly. To rapidly and accurately predict the pigment content of tomato leaves, chlorophyll a, chlorophyll b, chlorophyll and carotenoid were extracted from leaves of tomato seedlings cultured at different n...

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Veröffentlicht in:Journal of agricultural engineering (Pisa, Italy) Jg. 54; H. 4
Hauptverfasser: Zhao, Jiangui, Zhu, Tingyu, Qiu, Zhichao, Li, Tao, Wang, Guoliang, Li, Zhiwei, Du, Huiling
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bologna PAGEPress Publications 01.01.2023
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ISSN:1974-7071, 2239-6268
Online-Zugang:Volltext
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