ArticleFood science & nutrition2021
Using artificial neural network in predicting the key fruit quality of loquat.
Article in Food science & nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Morphological and Pomological Characterization of Indigenous Pear Genotypes (Food science & nutrition · 2026Article
- Predictive Modeling of Channel Catfish Under Varying Temperatures: Quality Dynamics and Warning Thresholds.Foods (Basel, Switzerland) · 2026Article
- Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning.Foods (Basel, Switzerland) · 2025Article
- Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops.PloS one · 2025Article
- Impact of long-term loquat cultivation on rhizosphere soil characteristics and AMF community structure: implications for fertilizer management.Frontiers in plant science · 2025Article
- Integrated metabolome and transcriptome analysis of differences in quality of ripe Lycium barbarum L. fruits harvested at different periods.BMC plant biology · 2024Article
- A Performance Evaluation of Two Hyperspectral Imaging Systems for the Prediction of Strawberries' Pomological Traits.Sensors (Basel, Switzerland) · 2023Article
- Organic Acid Accumulation and Associated Dynamic Changes in Enzyme Activity and Gene Expression during Fruit Development and Ripening of Common Loquat and Its Interspecific Hybrid.Foods (Basel, Switzerland) · 2023Article
- Physico-Chemical Properties Prediction of Flame Seedless Grape Berries Using an Artificial Neural Network Model.Foods (Basel, Switzerland) · 2022Article
- Using artificial neural network in predicting the key fruit quality of loquat.Food science & nutrition · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The formation and regulation of loquat fruit quality have always been an important research field to improve fruit quality, commodities, and market value. Fruit size, soluble solids content, and titratable acid content represent the most important quality factors in loquat. Mineral nutrients in abundance or deficiency are among the most important key factor that affect fruit quality. In the present study, we use artificial neural network (ANN) to explore the effects of mineral nutrients in soil and leaves on the key fruit quality of loquat. The results show that the ANN model with the structure of 12-12-1 can predict the single fruit weight with the highest accuracy (
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