Skip to Main content Skip to Navigation
Conference papers

Study on Storage Characteristic of Navel Orange Based on ANN

Abstract : In order to predict storage life of navel orange, The model for the variable regularity of total soluble sugar, total acidity, vitamin C, soluble solids, the sugar-acidity ratio in navel orange according to storage time was established based on BP artificial neural network . The results show that the multi-factor BP artificial neural network model has better predicted effect than single-factor one. When the number of the hidden layer neuron is 8, the multi-factor BP artificial neural network model of total soluble sugar, total acidity, vitamin C, soluble solids, the sugar-acidity ratio according to storage time was the most accurate, the correlation coefficient R between prediction and true value of storage time reached 0.98, the prediction and true value of the model was 0.99. As a result, the multi -factor BP artificial neural network model could be used to predict the navel orange storage life.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/hal-01562725
Contributor : Hal Ifip <>
Submitted on : Monday, July 17, 2017 - 9:49:11 AM
Last modification on : Thursday, March 5, 2020 - 5:41:24 PM
Long-term archiving on: : Friday, January 26, 2018 - 11:19:30 PM

File

978-3-642-18336-2_81_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Junfang Xia, Runwen Hu. Study on Storage Characteristic of Navel Orange Based on ANN. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. pp.667-673, ⟨10.1007/978-3-642-18336-2_81⟩. ⟨hal-01562725⟩

Share

Metrics

Record views

115

Files downloads

200