Fruit quality prediction based on soil mineral element content in peach orchard-Reference-Cited by-同舟云学术

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Fruit quality prediction based on soil mineral element content in peach orchard

Published:2022-02-28 Issue:6 Volume:10 Page:1756-1767
ISSN:2048-7177
Container-title:Food Science & Nutrition
language:en
Short-container-title:Food Science & Nutrition

Author:

Sun Hailong¹,Huang Xiao²,Chen Tao²,Zhou Pengyu²,Huang Xuexi²,Jin Weixin³,Liu Dan²,Zhang Hongtu⁴,Zhou Jianguo⁵,Wang Zhongjun⁶,Hayat Faisal²,Gao Zhihong²^ORCID

Affiliation:

1. Research Institute of Pomology Chinese Academy of Agricultural Sciences Key Laboratory of Biology and Genetic Improvement of Horticultural Crops Germplasm Resources Utilization Ministry of Agriculture Xingcheng China

2. College of Horticulture Nanjing Agricultural University Nanjing China

3. Agricultural Service Center of Yangshan Town Wuxi China

4. Xinyi Agriculture and Rural Affairs Bureau Xinyi China

5. Agricultural Technology Extension Center of Wujin District Changzhou China

6. Yancheng Biological Engineering Higher Vocational School Yancheng China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsn3.2794

Reference49 articles.

1. Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)

2. Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

3. Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM)

4. Assessment of bruchids density through bioacoustic detection and artificial neural network (ANN) in bulk stored chickpea and green gram

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Key Soil Mineral Elements Affecting Sugars and Organic Acids of Jujube Fruit;Horticulturae;2024-06-19

2. Tea quality estimation based on multi-source information from leaf and soil using machine learning algorithm;Food Chemistry: X;2023-12

3. Prunus lusitanica L. Fruits: A Promising Underexploited Source of Nutrients with Potential Economic Value;Foods;2023-02-24

4. Yield and Quality of Winter Jujube under Different Fertilizer Applications: A Field Investigation in the Yellow River Delta;Horticulturae;2023-01-25

5. Analysis of some phenological, pomological and qualitative traits of different cultivars of peach germplasm;Acta Horticulturae;2022-12

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