1 |
习近平主持召开新时代推动东北全面振兴座谈会强调 牢牢把握东北的重要使命 奋力谱写东北全面振兴新篇章[N]. 人民日报, 2023-09-10.
|
2 |
周文, 许凌云. 论新质生产力:内涵特征与重要着力点[J]. 改革, 2023(10): 1-13.
|
|
ZHOU W, XU L Y. On new quality Pr oductivity: Connotative characteristics and important focus[J]. Reform, 2023(10): 1-13.
|
3 |
洪银兴. 新质生产力及其培育和发展[J]. 经济学动态, 2024(1): 3-11.
|
|
HONG Y X. New quality productivity and its cultivation and development[J]. Economic perspectives, 2024(1): 3-11.
|
4 |
林万龙, 朱菲菲.以新质生产力为引领,推动农业强国建设[EB/OL]. 光明网, [2024-02-17].
|
5 |
赵春江. 智慧农业发展现状及战略目标研究[J]. 智慧农业, 2019(1): 1-7.
|
|
ZHAO C J. State-of-the-art and recommended developmental strategic objectivs of smart agriculture[J]. Smart agriculture, 2019(1): 1-7.
|
6 |
张颖, 廖生进, 王璟璐, 等. 信息技术与智能装备助力智能设计育种[J]. 吉林农业大学学报, 2021, 43(2): 119-129.
|
|
ZHANG Y, LIAO S J, WANG J L, et al. Information technology and intelligent equipment facilitating smart breeding[J]. Journal of Jilin agricultural university, 2021, 43(2): 119-129.
|
7 |
范贝贝, 李瑾, 冯献. 农业强国目标下作物育种科技与装备创新:态势、挑战与路径[J]. 科技导报, 2023, 41(16): 23-31.
|
|
FAN B B, LI J, FENG X. Seed industry technology and equipment under the goal of agricultural power: Situation, challenge and path[J]. Science & technology review, 2023, 41(16): 23-31.
|
8 |
GUI S, YANG L, LI J, et al. ZEAMAP, a comprehensive database adapted to the maize multi-omics era[J]. iScience, 2020, 23(6): ID 101241.
|
9 |
ZHU G, WANG S, HUANG Z, et al. Rewiring of the fruit metabolome in tomato breeding[J]. Cell, 2018, 172(1/2): 249-261.e12.
|
10 |
FU Y H, LIU H, DOU J W, et al. IAnimal: A cross-species omics knowledgebase for animals[J]. Nucleic acids research, 2023, 51(D1): D1312-D1324.
|
11 |
华智 育种管理专家[EB/OL]. [2024-4-20].
|
12 |
吴炳方, 张淼, 曾红伟, 等. 全球农情遥感速报系统20年[J]. 遥感学报, 2019, 23(6): 1053-1063.
|
|
WU B F, ZHANG M, ZENG H W, et al. Twenty years of CropWatch: Progress and prospect[J]. Journal of remote sensing, 2019, 23(6): 1053-1063.
|
13 |
房世波, 韩威, 裴志方. 沙漠蝗群对印巴边境植被的影响及其未来可能发展趋势[J]. 遥感学报, 2020, 24(3): 326-332.
|
|
FANG S B, HAN W, PEI Z F. Desert Locust Swarms impact on the local vegetation along India-Pakistan border and their possible development trends[J]. Journal of remote sensing, 2020, 24(3): 326-332.
|
14 |
姚志凤, 雷雨, 何东健. 基于高光谱成像的小麦白粉病与条锈病识别(英文)[J]. 光谱学与光谱分析, 2019, 39(3): 969-976.
|
|
YAO Z F, LEI Y, HE D J. Identification of powdery mildew and stripe rust in wheat using hyperspectral imaging[J]. Spectroscopy and spectral analysis, 2019, 39(3): 969-976.
|
15 |
HONKAVAARA E, SAARI H, KAIVOSOJA J, et al. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture[J]. Remote sensing, 2013, 5(10): 5006-5039.
|
16 |
JEONG S, KO J, KIM M, et al. Construction of an unmanned aerial vehicle remote sensing system for crop monitoring[J]. Journal of applied remote sensing, 2016, 10(2): ID 026027.
|
17 |
赵静, 李志铭, 鲁力群, 等. 基于无人机多光谱遥感图像的玉米田间杂草识别[J]. 中国农业科学, 2020, 53(8): 1545-1555.
|
|
ZHAO J, LI Z M, LU L Q, et al. Weed identification in maize field based on multi-spectral remote sensing of unmanned aerial vehicle[J]. Scientia agricultura sinica, 2020, 53(8): 1545-1555.
|
18 |
ZHANG N, ZHANG X L, YANG G J, et al. Assessment of defoliation during the Dendrolimus tabulaeformis Tsai et Liu disaster outbreak using UAV-based hyperspectral images[J]. Remote sensing of environment, 2018, 217: 323-339.
|
19 |
陈诚, 徐瑞斌. 智慧农业创新赋能新质生产力[N]. 北京日报, 2024-3-22.
|
20 |
姜侯, 杨雅萍, 孙九林. 农业大数据研究与应用[J]. 农业大数据学报, 2019, 1(1): 5-15.
|
|
JIANG H, YANG Y P, SUN J L. Research and application of big data in agriculture[J]. Journal of agricultural big data, 2019, 1(1): 5-15.
|
21 |
杨锋, 吴华瑞, 朱华吉, 等. 基于Hadoop的海量农业数据资源管理平台[J]. 计算机工程, 2011, 37(12): 242-244.
|
|
YANG F, WU H R, ZHU H J, et al. Massive agricultural data resource management platform based on hadoop[J]. Computer engineering, 2011, 37(12): 242-244.
|
22 |
郭二秀. 基于Spark的农业大数据挖掘系统的设计与实现[D]. 杭州: 浙江大学, 2018.
|
|
GUO E X. The design and implement of agriculture big data mining system based on spark[D]. Hangzhou: Zhejiang University, 2018.
|
23 |
陈志浩, 王建华, 龙拥兵, 等. 基于Spark的WOA-BP水稻产量预测[J]. 华南农业大学学报, 2023, 44(4): 613-618.
|
|
CHEN Z H, WANG J H, LONG Y B, et al. WOA-BP rice yield prediction based on Spark[J]. Journal of South China agricultural university, 2023, 44(4): 613-618.
|
24 |
ZHANG D X, LIU J, YANG L, et al. Application of swarm intelligence algorithms to the characteristic wavelength selection of soil moisture content[J]. International journal of agricultural and biological engineering, 2021, 14(6): 153-161.
|
25 |
JIN X, TANG L M, JI J T, et al. Potential analysis of an automatic transplanting method for healthy potted seedlings using computer vision[J]. International journal of agricultural and biological engineering, 2021, 14(6): 162-168.
|
26 |
ZHANG X, HE L, ZHANG J, et al. Determination of key canopy parameters for mass mechanical apple harvesting using supervised machine learning and principal component analysis (PCA)[J]. Biosystems engineering, 2020, 193: 247-263.
|
27 |
田桂林, 苏枫, 邹红, 等. 基于天牛群优化算法的灌区渠系配水研究[J]. 灌溉排水学报, 2022, 41(7): 96-103.
|
|
TIAN G L, SU F, ZOU H, et al. Calculating water distribution in irrigation channel networks using the beetle swarm optimization algorithm[J]. Journal of irrigation and drainage, 2022, 41(7): 96-103.
|
28 |
韩佳伟, 朱文颖, 张博, 等. 装备与信息协同促进现代智慧农业发展研究[J]. 中国工程科学, 2022, 24(1): 55-63.
|
|
HAN J W, ZHU W Y, ZHANG B, et al. Equipment and information collaboration to promote development of modern smart agriculture[J]. Strategic study of CAE, 2022, 24(1): 55-63.
|
29 |
爱科农[EB/OL]. [2024-4-20].
|
30 |
赵春江, 李瑾, 冯献, 等. 关于我国智能农机装备发展的几点思考[J]. 农业经济问题, 2023, 44(10): 4-12.
|
|
ZHAO C J, LI J, FENG X, et al. Reflections on the development of intelligent agricultural machinery and equipment[J]. Issues in agricultural economy, 2023, 44(10): 4-12.
|
31 |
孟志军, 王昊, 付卫强, 等. 农业装备自动驾驶技术研究现状与展望[J]. 农业机械学报, 2023, 54(10): 1-24.
|
|
MENG Z J, WANG H, FU W Q, et al. Research status and prospects of agricultural machinery autonomous driving[J]. Transactions of the Chinese society for agricultural machinery, 2023, 54(10): 1-24.
|
32 |
中央网信办信息化发展局,农业农村部市场与信息化司. 中国数字乡村发展报告(2022年)[R/OL]. (2023-03-01)[2024-04-20].
|
33 |
赵春江, 郭文忠. 中国水肥一体化装备的分类及发展方向[J]. 农业工程技术, 2017, 37(7): 10-15.
|
|
ZHAO C J, GUO W Z. Classification and development direction of water and fertilizer integrated equipment in China[J]. Agricultural engineering technology, 2017, 37(7): 10-15.
|
34 |
中国农业大学工学院. 学史明理开新局|工学院智能农业装备研究团队获得第一届中国农业机器人创新大赛一等奖[EB/OL]. (2021-05-26)[2024-04-20].
|
35 |
斯维垦智能科技[EB/OL]. [2024-04-20].
|
36 |
afimilk[EB/OL]. [2024-04-20].
|
37 |
中国畜牧业协会智能畜牧分会. 中国智能畜牧发展现状与趋势白皮书(2019)[R/OL]. [2024-04-20].
|
38 |
闫国琦, 倪小辉, 莫嘉嗣. 深远海养殖装备技术研究现状与发展趋势[J]. 大连海洋大学学报, 2018, 33(1): 123-129.
|
|
YAN G Q, NI X H, MO J S. Research status and development tendency of deep sea aquaculture equipments: A review[J]. Journal of Dalian ocean university, 2018, 33(1): 123-129.
|
39 |
中国水产科学院研究院渔业机械仪器研究所. 工业化养殖装备[EB/OL]. [2024-04-20].
|
40 |
浙江大学[EB/OL]. [2024-04-20].
|
41 |
钱加荣, 毛世平, 林青宁. 强化农业科技创新布局,走好农业强国之路[EB/OL].光明网, [2022-11-21].
|
42 |
国家统计局, 科学技术部, 财政部. 2022年全国科技经费投入统计公报[R/OL]. (2023-09-18)[2024-04-20].
|
43 |
杜焱强, 钟钰. 依靠数字技术,建设和美乡村[EB/OL]. 21世纪经济网, [2023-03-24].
|
44 |
高旺盛. 农业科技创新体制机制存在问题分析与建议[EB/OL]. 国科农研院, [2023-03-30].
|
45 |
王建冬, 于施洋, 黄倩倩. 数据要素基础理论与制度体系总体设计探究[J]. 电子政务, 2022(2): 2-11.
|
|
WANG J D, YU S Y, HUANG Q Q. Research on the basic theory of data elements and the overall design of institutional system[J]. E-Government, 2022(2): 2-11.
|
46 |
燕艳华, 王亚华, 云振宇, 等. 新时期我国农业标准化发展研究[J]. 中国工程科学, 2023, 25(4): 202-213.
|
|
YAN Y H, WANG Y H, YUN Z Y, et al. Development of agricultural standardization in China in the new era[J]. Strategic study of CAE, 2023, 25(4): 202-213.
|