[1] |
HUANG Rui-xi, ZHAO Jun-fang, HUO Zhi-guo, PENG Hui-wen, XIE Hong-fei.
Application of Deep Learning Technology in Monitoring, Forecasting and Risk Assessment of Agricultural Drought
[J]. Chinese Journal of Agrometeorology, 2023, 44(10): 943-952.
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[2] |
LIU Su, WU Hong-liang, CHEN Zhuo, FENG Hai-ping, ZHANG Hai-yu, KANG Jian-hong.
Continuous Cropping Years Affect the Rhizosphere Soil Microbial Community Structure and Functional Taxa of Celery
[J]. Chinese Journal of Agrometeorology, 2023, 44(05): 372-385.
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[3] |
LUO Wei, LI Qiang, LIU Xiu, WANG Ling-ling, ZHOU Jian, YANG Rong-guo.
Water Temperature Characteristics and Prediction of Fish Ponds in Sichuan Basin in Summer
[J]. Chinese Journal of Agrometeorology, 2022, 43(12): 980-990.
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[4] |
FENG Min-yu, KONG Ping, HU Ping, CHEN Xiao-lei, WU Feng-yu, LIAO Nan-jing.
Prediction Model of Flowering Date of Rape Established by Using Grey Relational Analysis Method Based on Pre-flowering Phenology
[J]. Chinese Journal of Agrometeorology, 2021, 42(11): 929-938.
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[5] |
DU Jun, ZHOU Kan-she, GAO Jia-jia, Tsewangthondup.
Influence of Climate Warming in Future on the Green Grass Season for Alpine Grassland in Qiangtang Nature Reserve of Tibet
[J]. Chinese Journal of Agrometeorology, 2021, 42(10): 845-858.
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[6] |
WANG Run-hong , RU Xiao-ya , JIANG Teng-cong , WANG Jin-hong , WANG Zhao , SU Bao-feng , ZHANG Dong, YU Qiang , FENG Hao , HE Jian-qiang.
Based on the Phenological Model to Study the Possible Changes of Apple Flowering Dates under Future Climate Scenarios in Shaanxi Province
[J]. Chinese Journal of Agrometeorology, 2021, 42(09): 729-745.
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[7] |
YANG Dong, DING Ye-yi, SUN Jun-bo, LI Qing-bin, WEI Sha-sha, HUANG He-lou.
Characteristics and Forecasting Technology of Greenhouse Temperature Deficit in Southern Plastic Greenhouse
[J]. Chinese Journal of Agrometeorology, 2019, 40(04): 240-249.
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[8] |
ZHU Lan-juan, JIN Zhi-feng, ZHANG Yu-jing, WANG Zhi-hai, LIU Min, FAN Liao-sheng.
Research on the Factors of Xihulongjing Tea Picking Date and Its Prediction Model
[J]. Chinese Journal of Agrometeorology, 2019, 40(03): 159-169.
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[9] |
LI Meng, ZHU Yong, ZHOU Jian-qin, MA Si-yuan.
Human-grain Relationship and Its Future Change in Yunnan Based on Climatic Potential Productivity
[J]. Chinese Journal of Agrometeorology, 2019, 40(02): 96-104.
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[10] |
QIU Mei-juan, LIU Bu-chun, YUAN Fu-xiang, LIU Yuan, ZHANG Yue-ying, WU Xin-yue, XIAO Nan-shu.
Determination Methods of Weight Coefficient in Spring Maize Yield Prediction Based on Climatic Suitability Index
[J]. Chinese Journal of Agrometeorology, 2018, 39(10): 664-673.
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[11] |
REN Shou-gang, LIU Xin, GU Xing-jian,WANG Hao-yun, YUAN Pei-sen,XU Huan-liang.
Multi-Step Rolling Prediction Model of Greenhouse Microclimate Based on R-BP Neural Network
[J]. Chinese Journal of Agrometeorology, 2018, 39(05): 314-324.
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[12] |
GAO Wen-ting,CHEN Xin-yi, BAO Yun-xuan, WANG Lin, XIE Xiao-jin, LU Ming-hong.
Application of Singular Cross-Spectrum Analysis in the Prediction of Cnaphalocrocis medinalis’ Occurrence in Southern China
[J]. Chinese Journal of Agrometeorology, 2017, 38(09): 583-596.
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[13] |
LIU Wen-ru, JU Hui, CHEN Guo-qing, LIU En-ke, LIU Qin.
Prediction on the Possible Air Temperature Change over the Middle and Lower Yangtze River Basin under the RCP Scenarios
[J]. Chinese Journal of Agrometeorology, 2017, 38(02): 65-75.
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[14] |
ZHOU Kanshe, LUO Suxuan, DU Jun, JIAN Jun, SHI Lei.
Response of Soil Temperature to Air Temperature Change in Tibet Plateau
[J]. Chinese Journal of Agrometeorology, 2015, 36(02): 129-138.
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[15] |
QIU Mei juan,SONG Ying bo,WANG Jian lin,WU Ding rong,LIU Ling,LIU Jian dong.
Application of Newly Developed Cluster Analysis of Statistical Test in Fine Agro Meteorological Yield Prediction
[J]. Chinese Journal of Agrometeorology, 2014, 35(02): 187-194.
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