[1] |
XIAO Feifei, JIANG Ping, HU Wenwu, LIAO Ronghua, ZHANG Danhui, JIN Sheng.
Recognition Algorithm of Extremum Point Clustering Seedling Belt Based on Offset Compensation Model
[J]. Journal of Agricultural Science and Technology, 2021, 23(5): 86-97.
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[2] |
LYU Chunyang, LIU Shengping, GUO Xiuming, XIAO Shunfu, LIU Dazhong, YANG Feifei, LI Luhua.
Detection of Honeybee Based on SSD Model
[J]. Journal of Agricultural Science and Technology, 2021, 23(5): 98-107.
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[3] |
ZHANG Qing1,2, ZHAO Xiaomei2, WANG Ping2, LIU Bing1*, CHEN Ying2*.
Advance on Detection Methods of Nucleic Acid for Toxin-Producing Fungi in Food
[J]. Journal of Agricultural Science and Technology, 2021, 23(3): 91-98.
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[4] |
DONG Mei, HU Xiaoying, MENG Lixia, WAN Yusong, LIU Weixiao, JIN Wujun, LI Liang*.
Development of a Universal Detection Method for cry1A Gene
[J]. Journal of Agricultural Science and Technology, 2020, 22(7): 174-180.
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[5] |
WANG Kai, LIN Yajun, WANG Shufeng, LI Shuxian, XIANG Zhiyu, XIA Lining*.
MLST Analysis of Salmonella Isolates From Different Animal Sources in Yanqi County of Xinjiang
[J]. Journal of Agricultural Science and Technology, 2020, 22(6): 111-122.
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[6] |
MA Hao1, ZHANG Kai1, JIN Xin1*, JI Jiangtao1, ZHU Xu1.
Identification of Blueberry Fruit Maturity Using Hyperspectral Images Technology
[J]. Journal of Agricultural Science and Technology, 2020, 22(2): 80-90.
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[7] |
JIANG Caige1, SONG Shuang1, LI Qian2, WANG Guozhen1, ZHANG Yi1*, GUAN Xiaoyan3.
Evaluation of Resistance Levels of Botrytis cinerea to Different Fungicides in Eastern Helan Mountain
[J]. Journal of Agricultural Science and Technology, 2020, 22(10): 119-128.
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[8] |
AN Na1,2, ZHENG Zifan2, DONG Mei2, LIU Weixiao2, WAN Yusong2, JIN Wujun2, LI Liang2*, HAN Yang1*.
Research Progress on Nucleic Acid Sensors Based on Surface Plasmon Resonance
[J]. Journal of Agricultural Science and Technology, 2019, 21(5): 55-61.
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[9] |
DONG Wei1, QIAN Rong1, ZHANG Jie 2*, ZHANG Liping1, CHEN Hongbo2, ZHANG Meng1, ZHU Jingbo1, BU Yingqiao3.
Vegetable Lepidopteran Pest Auto Recognition and Detection Counting Based on Deep Learning
[J]. Journal of Agricultural Science and Technology, 2019, 21(12): 76-84.
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[10] |
XUE Mande, LONG Yan, PEI Xinwu*.
Gene Editing Technology and Its Application in Crop Breeding and Safety Management
[J]. Journal of Agricultural Science and Technology, 2018, 20(9): 12-22.
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[11] |
XIA Xue1, ZHOU Guomin1*, QIU Yun1, LI Zhuang2, WANG Jian1, FAN Jingchao1, GUO Xiuming1.
Detection of Double Overlapped Fruits in Natural Scene for Apple Operation Robot
[J]. Journal of Agricultural Science and Technology, 2018, 20(7): 63-73.
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[12] |
SHI Ruiyao, TIAN Youwen*, LAI Xingtao, GU Wenjun.
Development of Apple Intelligent On-line Inspection and Classification System Based on Machine Vision
[J]. Journal of Agricultural Science and Technology, 2018, 20(3): 80-86.
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[13] |
YAO Xiaohui§, CAI Jianxing§, SU Zhanqiang, GAO Chao, XUAN Huiyong, XIA Lining*.
Detection and Analysis of Florfenicol-resistant Genes and Their Genetic Components in Staphylococcus From Different Parts of Pig
[J]. Journal of Agricultural Science and Technology, 2018, 20(11): 54-61.
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[14] |
ZHAO Ying, WEI Yue*, YE Hongyan, MA Jingjun*, CHENG Bingxiao.
Research Progress on Residue Analysis of Organic Arsenic
[J]. Journal of Agricultural Science and Technology, 2018, 20(10): 115-122.
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[15] |
LI Xiaying1, SONG Guiwen, LIU Pengcheng, LIANG Jingang, WANG Haoqian, .
Overview of the Proficiency Testing for GMO Detection
[J]. Journal of Agricultural Science and Technology, 2017, 19(9): 51-56.
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