1 |
PATRIARCA A. Fungi and mycotoxin problems in the apple industry[J]. Current Opinion in Food Science, 2019, 29: 42-47.
|
2 |
ZHONG L, CARERE J, LU Z, et al. Patulin in apples and apple-based food products: The burdens and the mitigation strategies[J]. Toxins, 2018, 10(11): ID 475.
|
3 |
郭志明, 黄文倩, 陈全胜, 等. 近红外光谱的苹果内部品质在线检测模型优化[J]. 现代食品科技, 2016, 32(9): 147-153.
|
|
GUO Z, HUANG W, CHEN Q, et al. Optimization of online detection model for internal quality of apple by near infrared spectroscopy[J]. Modern Food Science and Technology, 2016, 32(9): 147-153.
|
4 |
王转卫, 迟茜, 郭文川, 等. 基于近红外光谱技术的发育后期苹果内部品质检测[J]. 农业机械学报, 2018, 49(5): 348-354.
|
|
WANG Z, CHI Q, GUO W, et al. Internal quality detection of apple in late development stage based on near infrared spectroscopy[J]. Transactions of the CSAM, 2018, 49(5): 348-354.
|
5 |
高辉, 马国峰, 刘伟杰. 基于机器视觉的苹果缺陷快速检测方法研究[J]. 食品与机械, 2020, 36(10): 125-129.
|
|
GAO H, MA G, LI W. Research on rapid detection method of apple defects based on machine vision[J]. Food & Machinery, 2020, 36(10): 125-129.
|
6 |
BHARGAVA A,BANSAL A. Quality evaluation of Mono & bi-Colored apples with computer vision and multispectral imaging[J]. Multimedia Tools and Applications, 2020, 79(11): 7857-7874.
|
7 |
张京平, 朱建锡, 孙腾. 苹果内部品质的CT成像结合傅里叶变换方法检测[J]. 农业机械学报, 2014, 45(5): 197-204.
|
|
ZHANG J, ZHU J, SUN T. Detection of apple internal quality by CT imaging combined with Fourier transform method[J]. Transactions of the CSAM, 2014, 45(5): 197-204.
|
8 |
曹玉栋, 祁伟彦, 李娴, 等. 苹果无损检测和品质分级技术研究进展及展望[J]. 智慧农业, 2019, 1(3): 29-45.
|
|
CAO Y, QI W, LI X, et al. Research progress and prospect on non-destructive detection and quality grading technology of apple[J]. Smart Agriculture, 2019, 1(3): 29-45.
|
9 |
蔡骋, 李永超, 马惠玲, 等. 基于介电特征选择的苹果内部品质无损分级[J]. 农业工程学报, 2013, 29(21): 279-287.
|
|
CAI C, LI Y, MA H, et al. Nondestructive grading of apple internal quality based on dielectric feature selection[J]. Transactions of the CSAE, 2013, 29(21): 279-287.
|
10 |
王若琳, 王栋, 任小林, 等. 基于电学特征的苹果水心病无损检测[J]. 农业工程学报, 2018, 34(5): 129-136.
|
|
WANG R, WANG D, REN X, et al. Nondestructive detection of apple water core disease based on electrical characteristics[J]. Transactions of the CSAE, 2018, 34 (5): 129-136.
|
11 |
MCGLONE V A, MARTINSEN P J, CLARK C J, et al. On-line detection of Brown heart in Braeburn apples using near infrared transmission measurements[J]. Postharvest Biology and Technology, 2005, 37(2):56-63.
|
12 |
SHENDEREY C, SHMULEVICH I, ALCHANATIS V, et al. NIRS detection of moldy core in apples[J]. Food & Bioprocess Technology, 2010, 3(1): 79-83.
|
13 |
李顺峰, 张丽华, 刘兴华, 等. 基于主成分分析的苹果霉心病近红外漫反射光谱判别[J]. 农业机械学报, 2011, 42(10): 158-161.
|
|
LI S, ZHANG L, LIU X, et al. Discrimination of apple moldy heart disease by near infrared diffuse reflectance spectroscopy based on principal component analysis[J]. Transactions of the CSAM, 2011, 42(10): 158-161.
|
14 |
王富春, 李军, 张润浩, 等. 基于计算机视觉的苹果霉心病病变程度测量方法[J]. 农机化研究, 2015, 37(6): 189-193.
|
|
WANG F, LI J, ZHANG R, et al. Measurement method of apple mold heart disease lesion degree based on computer vision[J]. Journal of Agricultural Mechanization Research, 2015, 37(6): 189-193.
|
15 |
STROSHINE C R. Rapid sensing of internal browning in whole apples using a low-cost, low-field proton magnetic resonance sensor[J]. Postharvest Biology and Technology, 2005, 3: 56-64.
|
16 |
张立彬, 胥芳贾, 灿纯, 等. 苹果内部品质的电特性无损检测研究[J]. 农业工程学报, 2000(3): 104-106.
|
|
ZHANG L, XU F, CAN C, et al. Study on nondestructive testing of internal quality of Apple[J]. Transactions of the CSAE, 2000(3): 104-106.
|
17 |
李芳, 蔡骋, 马惠玲, 等. 基于生物阻抗特性分析的苹果霉心病无损检测[J]. 食品科学, 2013, 34(18): 197-202.
|
|
LI F, CAI C, MA H, et al. Nondestructive detection of apple moldy heart disease based on bioelectrical impedance analysis[J]. Food Science, 2013, 34(18): 197-202.
|
18 |
蔡骋, 李晓龙, 马惠玲, 等. 基于生物阻抗特性的苹果新鲜度无损测定[J]. 农业机械学报, 2013, 44(2): 147-152.
|
|
CAI C, LI X, MA H, et al. Nondestructive determination of apple freshness based on bioelectrical impedance characteristics[J]. Transactions of the CSAM, 2013, 44(2): 147-152.
|
19 |
耿晗, 蔡骋, 刘斌. 基于介电特性的苹果内部品质预测方法研究[J]. 农机化研究, 2019, 41(10): 186-191.
|
|
GENG H, CAI C, LIU B. Study on prediction method of apple internal quality based on dielectric properties[J]. Journal of Agricultural Mechanization Research, 2019, 41(10): 186-191.
|
20 |
SIDHU K, GILL A, ARORA A, et al. Advancements in farming and related activities with the help of artificial intelligence: A review[J]. Environment Conservation Journal, 2021, 22(SE): 55-62.
|
21 |
OMRANI E, KHOSHNEVISAN B, SABOOHI H, et al. Potential of radial basis function-based support vector regression for apple disease detection[J]. Measurement, 2014, 55: 512-519.
|
22 |
SAMAJPATI B, DEGADWALA S. Hybrid approach for apple fruit diseases detection and classification using random forest classifier[C]// 2016 International Conference on Communication and Signal Processing (ICCSP). Piscataway, New York, USA: IEEE, 2016: 1015-1019.
|
23 |
GRANATO D,SANTOS J, ESCHER G, et al. Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective[J]. Trends in Food Science & Technology, 2018, 72: 83-90.
|