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    ARTICLE

    Prediction of Apple Fruit Quality by Soil Nutrient Content and Artificial Neural Network

    Mengyao Yan1, Xianqi Zeng1, Banghui Zhang1, Hui Zhang2, Di Tan1, Binghua Cai1, Shenchun Qu1, Sanhong Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 193-208, 2023, DOI:10.32604/phyton.2022.023078

    Abstract The effect of soil nutrient content on fruit yield and fruit quality is very important. To explore the effect of soil nutrients on apple quality we investigated 200 fruit samples from 40 orchards in Feng County, Jiangsu Province. Soil mineral elements and fruit quality were measured. The effect of soil nutrient content on fruit quality was analyzed by artificial neural network (ANN) model. The results showed that the prediction accuracy was highest (R2 = 0.851, 0.847, 0.885, 0.678 and 0.746) in mass per fruit (MPF), hardness (HB), soluble solids concentrations (SSC), titratable acid concentration (TA) and solid-acid ratio (SSC/TA), respectively. The sensitivity… More >

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