1 |
宋哲,王宏,里程辉,等.我国苹果产业存在的主要问题、发展趋势及解决办法[J].江苏农业科学,2016,44(09):4-8.
|
|
Song Z, Wang H, Li C H, et al. The main problems, development trends and solutions of apple industry in China[J]. Jiangsu Agricultural Sciences, 2016, 44(09); 4-8.
|
2 |
常倩,李瑾.2000年以来中国苹果产业发展趋势分析[J].北方园艺,2021,(03):155-160.
|
|
Chang Q, Li J. Analysis on the development trend of apple industry in China since 2000[J]. Northern Horticulture, 2021,(03): 155-160.
|
3 |
冯琦. 苹果园几种病虫害有机防控研究[D].保定:河北农业大学,2014.
|
|
Feng Q. Study on organic control of several diseases and pests in apple orchard[D]. Baoding: Hebei Agricultural University, 2014.
|
4 |
宦克为. 小麦内在品质近红外光谱无损检测技术研究[D].长春:长春理工大学,2014.
|
|
Huan K W. Near-infrared spectroscopy for nondestructive detection of wheat intrinsic quality[D]. Changchun: Changchun University of Science and Technology, 2014.
|
5 |
李水芳. 蜂蜜质量的近红外光谱分析技术研究[D].长沙:中南林业科技大学,2012.
|
|
Li Y F. Study on Near Infrared Spectroscopy for Quality Analysis of Honey[D]. Changsha: Central South University Of Forestry And Technology, 2012.
|
6 |
Martínez-Ferri E et al. Nondestructive Detection of White Root Rot Disease in Avocado Rootstocks by Leaf Chlorophyll Fluorescence.[J]. Plant disease, 2016, 100(1) : 49-58.
|
7 |
Takashi SHIMOMACHI et al. Nondestructive Detection of Water Stress in Tomato Plants by Microwave Sensing[J]. Environment Control in Biology, 2001, 39(1) : 17-25.
|
8 |
Shilyaev P . al V.et. Track Record of Nondestructive Testing Methods Applied to Steel Plate Quality Indexes at Magnitogorsk Iron and Steel Company[J]. Metallurgist, 2021, 64(11-12) : 1234-1238.
|
9 |
赵卓. 全自动水果分拣系统的设计与开发[D].长沙:湖南师范大学,2020.
|
|
Zhao Z. Design and development of automatic fruit sorting system[D]. Changsha: Hunan Normal University, 2020.
|
10 |
马竞一. 玉米单倍体籽粒的自动分拣技术研究与实现[D].青岛:中国石油大学(华东),2015.
|
|
Ma J Y. Research and realization of automatic sorting technology for maize haploid seeds[D]. Qingdao: China University of Petroleum (East China), 2015.
|
11 |
郭志明. 基于近红外光谱及成像的苹果品质无损检测方法和装置研究[D].北京:中国农业大学,2015.
|
|
Guo Z M. Research on Nondestructive Testing Method and Device of Apple Quality Based on Near Infrared Spectroscopy and Imaging[D]. Beijing: China Agricultural University, 2015.
|
12 |
王梓萌. 基于近红外光谱与密度特征的苹果霉心病无损检测方法研究[D].保定:河北农业大学,2020.
|
|
Wang Z M. Near-infrared spectroscopy and density characteristics for nondestructive detection of mallea mallea heart disease[D]. Baoding: Hebei Agricultural University, 2020.
|
13 |
史波林,赵镭,刘文,等.苹果内部品质近红外光谱检测的异常样本分析[J].农业机械学报,2010,41(02):132-137.
|
|
Shi B L, Zhao L, Liu W,et al. Analysis of abnormal samples of apple internal quality detected by near infrared spectroscopy[J]. Transactions of The Chinese Society of Agricultural Machinery, 2010, 41(02): 132-137.
|
14 |
徐海. 苹果糖度可见/近红外漫透射光谱在线检测通用模型研究[D].南昌:华东交通大学,2020.
|
|
Xu H. A general model for online measurement of apple sugar content by visible/near-infrared diffuse transmission spectroscopy[D]. Nanchang: East China Jiaotong University, 2020.
|
15 |
尹秀珍. 低分辨率苹果果实病害图像识别方法研究[D].咸阳:西北农林科技大学,2011.
|
|
Yin X Z. Research on low resolution image recognition of apple fruit disease[D]. Xianyang: Northwest A&F University, 2011.
|
16 |
黄天祥. 2016-2020年河南苹果主要病虫害预测预警技术数据集. CSTR:17058.11.A0002.20210706.30.ds.0428.
|
|
Huang T X. Prediction and early warning technology data set of major Apple diseases and insect pests in Henan from 2016 to 2020. CSTR:17058.11.A0002.20210706.30.ds.0428.
|
17 |
王晓丽.2016年辽宁兴城‘富士’、‘华红’、‘嘎啦’苹果叶片光谱与图像数据集. CSTR:17058.11.A0007.20211029.36.is.1909.
|
|
Wang X L. Spectral and image data set of ‘Fuji’, ‘Huahong’ and ‘Gala’ Apple leaves in Xingcheng, Liaoning province in 2016. CSTR:17058.11.A0007.20211029.36.is.1909.
|
18 |
张晴,蔡贵民,陈斌,等.光栅型高速扫描近红外光谱仪的研发[J].分析仪器,2018,(03):29-34.
|
|
Zhang Q, Cai G M, Chen B,et al. Development of grating type high speed scanning near infrared spectrometer[J]. Analytical Instrumentation, 2018,(03): 29-34.
|
19 |
樊景超. 苹果果实病害近红外光谱信息获取与识别模型研究[D].北京: 中国农业科学院,2011.
|
|
Fan J C. Study on Near Infrared Spectral Information Acquisition and Recognition Model of Apple Fruit Diseases[D]. Beijing: Chinese Academy of Agricultural Sciences, 2011.
|
20 |
刘言,蔡文生,邵学广.近红外光谱分析方法研究:从传统数据到大数据[J].科学通报,2015,60(08):704-713.
|
|
Liu Y, Cai W S, Shao X G. Research on Near Infrared Spectroscopic Analysis Methods: From Traditional Data to Big Data[J]. Chinese Science Bulletin, 2015, 60(08): 704-713.
|
21 |
褚小立,史云颖,陈瀑,等.近五年我国近红外光谱分析技术研究与应用进展[J].分析测试学报,2019,38(05):603-611.
|
|
Chu X L, Shi Y Y, Chen P,et al. Progress in the research and application of near infrared spectroscopy in China in the past five years[J]. Journal of Instrumental Analysis, 2019, 38(05): 603-611.
|
22 |
邹小波,赵杰文.用遗传算法快速提取近红外光谱特征区域和特征波长[J].光学学报,2007,(07):1316-1321.
|
|
Zou X B, Zhao J W. The genetic algorithm is used to quickly extract the characteristic region and characteristic wave of near infrared spectrum[J]. Acta Optica Sinica, 2007,(07): 1316-1321.
|