1 |
WANG J, LI H, ZHANG X, et al.. Molecular design breeding in crops in China [J]. Acta Agron. Sin., 2011, 37(2):191-201.
|
2 |
WALLACH I, DZAMBA M, HEIFETS A. AtomNet: a deep convolutional neural network for bioactivity prediction in structure-based drug discovery [J]. Math. Zeitschrif, 2015, 47(1):34-46.
|
3 |
梁翰文,吕慧颖,葛毅强.作物育种关键技术发展态势[J].植物遗传资源学报,2018,19(3):9.
|
|
LIANG H W, LYU H Y, GE Y Q, et al.. Development of key breeding technology [J]. J. Plant Genet. Resour., 2018, 19(3):9.
|
4 |
REUZEAU C, PEN J, FRANKARD V, et al.. Trait mill: a discovery engine for identifying yield-enhancement genes in cereals [J]. Mol. Breed., 2005, 3(5):753-759.
|
5 |
吴建伟,卢大文,明博,等.我国种业智能装备产业研究[J].中国农业科技导报,2014,16(6):68-73.
|
|
WU J W, LU D W, MING B, et al.. Studies on seed intelligent equipment industry [J]. J. Agric. Sci. Technol., 2014,16(6):68-73.
|
6 |
GUI S, YANG L, LI J, et al.. ZEAMAP, a comprehensive database adapted to the maize multi-omics era [J/OL]. Science, 2020, 23(6):101241 [2022-06-10]. .
|
7 |
CHENG Q, JIANG S, XU F, et al.. Genome optimization via virtual simulation to accelerate maize hybrid breeding [J/OL]. Brief. Bioinform., 2022, 23(1):447 [2022-06-10]. .
|
8 |
张小青,樊江川,郭新宇,等.基于Faster R-CNN的大田玉米雄穗识别及抽穗期判定研究[J].安徽农业大学学报,2021,48(5):849-856.
|
|
ZHANG X Q, FAN C J, GUO X Y, et al.. Research on male ear detection and tasseling stage identification of field maize based on faster R-CNN [J]. J. Anhui Agric. Univ., 2021, 48(5):849-856.
|
9 |
王侨,孟志军,付卫强,等.基于机器视觉的玉米苗期多条作物行线检测算法[J].农业机械学报,2021,52(4):208-220.
|
|
WANG Q, MENG Z J, FU W Q, et al.. Detection algorithm of multiple crop row lines based on machine vision in maize seedling stage [J]. Tran. Chin. Soc. Agric. Mach., 2021, 52(4):208-220.
|
10 |
国家作物种质资源库:为农业生产保留“火种”[EB/OL]. (2019-12-26) [2022-06-10]. .
|
11 |
王伟文,孙宁,阎岩.农业电商平台的未来发展之路探索——详解“互联网+农业”新贵爱种网[J].中国种业,2017(3):6-12.
|
12 |
官方大数据平台上线种业进入一站式信息时代[J].农业科技与信息,2017(19):115.
|
13 |
农业农村信息化专家咨询委员会.中国数字乡村发展报告2020[R/OL].(2020-11-28)[2022-06-10]..
|
14 |
李道亮.物联网与智慧农业[J].农业工程, 2012(1):1-7.
|
|
LI D L. Internet of things and wisdom agriculture [J]. Agric. Eng., 2012 (1):1-7.
|
15 |
李春顶,谢慧敏.种业振兴的核心是种业企业的发展壮大[EB/OL].(2021-09-09) [2022-06-20]. .
|
16 |
朱明,陈海军,李永磊.中国种业机械化现状调研与发展分析[J].农业工程学报,2015,31(14):1-7.
|
|
ZHU M, CHEN H J, LI Y L. Investigation and development analysis of seed industry mechanization in China [J]. Trans. Chin. Soc. Agric. Eng., 2015, 31(14):1-7.
|
17 |
姜文.浅谈互联网+背景下农业科技成果转化的现状和机遇[J].北方农业学报,2017,45(2):126-130.
|
|
JIANG W. Introduction to the status quo and opportunities of agricultural science and technology achievements transformation under the background of internet+ [J]. J. Northern Agric., 2017, 45(2):126-130.
|
18 |
张启发,刘海军.未来作物育种对绿色技术的需求[J].华中农业大学学报, 2014,33(6):10-15.
|
|
ZHANG Q F, LIU H J. Demands for green technologies in future plant breeding [J]. J. Huazhong Agric. Univ., 2014, 33(6):10-15.
|
19 |
WALLACE J G, RODGERS-MELNICK E, BUCKLEER E S. On the road to breeding 4.0: unraveling the good, the bad, and the boring of crop quantitative genomics [J/OL]. Annu. Rev. Genet., 2018, 52(1):24846 [2022-06-10]. gttps://doi.org/10.1146/ annurev-genet-120116-024846.
|
20 |
王向峰,才卓.中国种业科技创新的智能时代——“玉米育种4.0”[J].玉米科学,2019,27(1):1-9.
|
|
WANG X F, CAI Z. Era of maize breeding 4.0 [J]. J. Maize Sci., 2019, 27(1):1-9.
|
21 |
应继锋,刘定富,赵健.第5代(5G)作物育种技术体系[J].中国种业,2020(10):1-3.
|
22 |
汪海, 赖锦盛, 王海洋,等. 作物智能设计育种——自然变异的智能组合和人工变异的智能创制[J].中国农业科技导报, 2022,24(6):1-8.
|
|
WANG H, LAI J S, WANG H Y, et al.. Bipartite intelligent design of crops—intelligent combination of natural variation and intelligent creation of artificial variation [J]. J. Agric. Sci. Technol., 2022, 24(6):1-8.
|
23 |
张晴丹.新模型为玉米智能育种注入"加速剂"[N].中国科学报,2021-11-09(003).
|