基于农业环境的农业科学观测数据融合研究

doi:10.19788/j.issn.2096-6369.200411

Abstract

Abstract:

Long term positioning observation is an important research method to reveal the evolution of global environmental structure and function. The scientific observation data accumulation in agriculture has a good foundation of experimental stations in China, leading by Soil Fertility Network and Germplasm Resource Nursery Network. However, there is still a long way to go in the systematization, standardization and networking of long-term positioning observation of agricultural science. Based on the scientific observation data of agricultural environmental, this paper focuses on the cross domain fusion of agricultural scientific observation data. The basic role of agricultural environment on scientific observed agricultural big data fusion was discussed on the intersection and connection of agricultural environment with crop germplasm resource, soil quality, crop pests and diseases, agricultural microorganisms, livestock and poultry breeding, fishery resources and environment, quality and safety of agricultural product. After discussing the link function of agricultural environment to the big data fusion of agricultural scientific observation, we established a framework of agricultural scientific observation data fusion and addressed the requirements of big data fusion in agricultural scientific observation on the network observation, data standardization, data collection and data fusion. We suggested emphasized development on interdisciplinary based on network observation, promoting data standardization, and sustaining financial support to ensure data collection, enhancing interdisciplinary research to explore data fusion methods, in order to promote the fusion of big data in agricultural scientific observation, explore the value of agricultural scientific observation data, guide agricultural production, and providing basic support for agricultural policy-making.

Key words: basic long-term scientific research in agriculture, agricultural big data fusion, long term positioning observation, observation data, scientific data management, scientific data

CLC Number:

F323.3

Guozheng Hu, Zhabu Ganzhu, Peidong Yu, Zhenlin Yang, Qingzhu Gao. Research on Data Fusion in Agricultural Scientific Observation Based on of Agricultural Environment[J].Journal of Agricultural Big Data, 2020, 2(4): 86-94.

Figures/Tables 1

References 54

1	任景明, 喻元秀, 王如松. 我国农业环境问题及其防治对策[J]. 生态学杂志, 2009, 28(007): 1399-1405.
	Ren J M, Yu Y X, Wang R S. Problems and countermeasures of agricultural environment in China[J]. Chinese Journal Of Ecology, 2009, 28(007): 1399-1405.
2	王兮之, 葛剑平. 国家重点野外科学观测试验站数据信息现状分析[J]. 北京师范大学学报(自然科学版), 2004, 40(001): 97-101.
	Wang X Z, Ge J P. Status Analysis of Field Station Data Information in China[J]. Journal of Beijing Normal University (Natural Science), 2004, 40(001): 97-101.
3	戴圣骐, 赵斌. 大数据时代下的生态系统观测发展趋势与挑战[J]. 生物多样性, 2016, 24(01):85-94.
	Dai S Q, Zhao B. Trends and challenges of ecosystem observations in the age of big data [J] Biodiversity Science, 2016, 24(01):85-94.
4	赵方杰. 洛桑试验站的长期定位试验:简介及体会[J]. 南京农业大学学报, 2012, 35(005):147-153.
	Zhao F J. Long-term experiments at Rothamsted Experimental Station: Introduction and experience [J] Journal of Nanjing Agricultural University, 2012, 35(005):147-153.
5	赵海凤, 李仁强, 赵芬, 等. 生态环境大数据发展现状与趋势[J]. 生态科学, 2018, 037(001): 211-218.
	Zhao H F, Li R Q, Zhao F, et al. Current status and development trend of eco-environmental big data[J]. Ecological Science, 2018, 037(001): 211-218.
6	马义兵, 李秀英. 中国生态系统定位观测与研究数据集·农田生态系统卷:国家土壤肥力与肥料效益监测站网1989-2000[M]. 北京：中国农业出版社, 2010.
	Ma Y B, Li X Y. China Ecosystem Positioning Observation and Research Data Set Farmland Ecosystem Volume: National Soil fertility and Fertilizer Benefit Monitoring Station Network 1989-2000[M]. Beijing: China Agriculture Press, 2010.
7	江用文. 国家种质资源圃保存资源名录[M]. 北京：中国农业科学技术出版社, 2005.
	Jiang Y W. National Germplasm Resource Garden Conservation Resource Directory[M]. China Agricultural Science and Technology Press, 2005.
8	刘勍, 毛克彪, 马莹, 等. 农业大数据浅析及与Web GIS结合应用[J]. 遥感信息, 2016, 000(001):124-128.
	Liu Q, Mao K B, Ma Y, et al. Analysis on Agricultural Big Data and Its Application Conbined with Web GIS[J]. Remote Sensing Information, 2016, 000(001):124-128.
9	于贵瑞, 何洪林, 周玉科. 大数据背景下的生态系统观测与研究[J]. 中国科学院院刊, 2018, 033(008):832-837.
	Yu G R, He H L, Zhou Y K. Ecosystem Observation and Research under Background of Big Data [J] Bulletin of the Chinese Academy of Sciences, 2018, 033(008):832-837.
10	吴炳方, 张淼, 曾红伟, 等. 大数据时代的农情监测与预警[J]. 遥感学报, 2016(20):1027-1037.
	Wu B F, Zhang S, Zeng H W, et al. Agricultural monitoring and early warning in the era of big data[J]. [J]. 遥感学报, 2016(20):1027-1037. , 2016(20):1027-1037.
11	孟小峰, 杜治娟. 大数据融合研究:问题与挑战[J]. 计算机研究与发展, 2016, 53(2):231-246.
	Meng X F, Du Z J. Research on the Big Data Fusion: Issues and Challenges [J] Journal of Computer Research and Development, 2016, 53(2):231-246.
12	许世卫, 王东杰, 李哲敏. 大数据推动农业现代化应用研究[J]. 中国农业科学, 2015, 48(17):3429-3438.
	Xu S W, Wang D J, Li Z M. Application Research on Big Data Promote Agricultural Modernization [J] Scientia Agricultura Sinica, 2015, 48(17):3429-3438.
13	孙忠富, 马浚诚, 褚金翔, 等. 智慧农业技术助推农业创新发展, 引领农业新未来[J]. 蔬菜, 2017, (4):1-8.
	Sun Z F, Ma J C, Chu J X, et al. Smart Agricultural Technology Promotes Agricultural Innovation and Development, Leads the New Future of Agriculture [J]. Vegetables, 2017, (4):1-8.
14	Jarvis A, Lane A, Hijmans R J. The effect of climate change on crop wild relatives[J]. Agriculture, Ecosystems & Environment, 2008, 126(1): 13-23.
15	孙华, 何茂萍, 胡明成. 全球变化背景下气候变暖对中国农业生产的影响[J]. 中国农业资源与区划, 2015, 36(07): 51-57.
	Sun H, He M P, Hu M C. Impact of Global Climatic Warming on Agricultural Production in China[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2015, 36(07): 51-57.
16	Snook L K, Dulloo M E, Jarvis A, et al. Crop germplasm diversity: The role of gene bank collections in facilitating adaptation to climate change[J]. Crop Adaptation to Climate Change, 2011: 495-506.
17	Ramirez-Villegas J, Jarvis A, Fujisaka S, et al. Crop and forage genetic resources: international interdependence in the face of climate change[J]. Crop genetic resources as a global commons: Challenges in international law and governance, 2013: 78-98.
18	李祎君, 王春乙, 赵蓓, 等. 气候变化对中国农业气象灾害与病虫害的影响[J]. 农业工程学报, 2010, 26(13): 263-271.
	Li Y J, Wang C Y, Zhao B, et al. Effects of climate change on agricultural meteorological disaster and crop insects diseases[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(13): 263-271.
19	沈永平, 王国亚. IPCC第一工作组第五次评估报告对全球气候变化认知的最新科学要点[J]. 冰川冻土, 2013, (05): 10-18.
	Shen y p, wang g y. Key Findings and Assessment Results of IPCC WGI Fifth Assessment Report[J]. Journal of Glaciology and Geocryology, 2013, (05): 10-18.
20	卢丽萍, 程丛兰, 刘伟东, 等. 30年来我国农业气象灾害对农业生产的影响及其空间分布特征[J]. 生态环境学报, 2009, 18(4): 1573-1578.
	Lu L P, Cheng C L, Liu W D, et al. Effect of the agricultural meteorological disasters on agricultural production and its spatial distribution characteristics during the last 30 years in China[J]. Ecology And Environment, 2009, 18(4): 1573-1578.
21	覃志豪, 唐华俊, 李文娟, 等. 气候变化对农业和粮食生产影响的研究进展与发展方向[J]. 中国农业资源与区划, 2013, (05): 1-7.
	Qin Z H, Tang H J, Li W J, et al. Progress and Directions in Studying the Impacts of Climate Change on Agriculture and Grain Production in China[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2013, (05): 1-7.
22	Brevik E C. The potential impact of climate change on soil properties and processes and corresponding influence on food security[J]. Agriculture, 2013, 3(3): 398-417.
23	张仲胜, 李敏, 宋晓林, 等. 气候变化对土壤有机碳库分子结构特征与稳定性影响研究进展[J]. 土壤学报, 2018, 55(2): 273-282.
	Zhang z s, li m, song x l, et al. Effects of Climate Change on Molecular Structure and Stability of Soil Carbon Pool: A General Review[J]. Acta Pedologica Sinica, 2018, 55(2): 273-282.
24	St. Clair S B, Lynch J P. The opening of Pandora’s Box: climate change impacts on soil fertility and crop nutrition in developing countries[J]. Plant and Soil, 2010, 335(1): 101-115.
25	Lal R. Soil Carbon Sequestration Impacts on Global Climate Change and Food Security[J]. Science, 2004, 304(5677): 1623-1627.
26	董红敏, 李玉娥, 陶秀萍, 等. 中国农业源温室气体排放与减排技术对策[J]. 农业工程学报, 2008, (10): 269-273.
	Dong H M, Li Y E, Tao X P, et al. China greenhouse gas emissions from agricultural activities and its mitigation strategy[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, (10): 269-273.
27	崔键, 马友华, 赵艳萍, 等. 农业面源污染的特性及防治对策[J]. 中国农学通报, 2006, 22(1):335-340.
	Cui J, Ma Y H, Zhao Y P, et al. Characteristic and Countermeasures for Control and Prevention of Multiple Area-pollution in Agriculture[J]. Chinese Agricultural Science Bulletin, 2006, 22(1) :335-340.
28	朱兆良, 孙波, 杨林章, 等. 我国农业面源污染的控制政策和措施[J]. 科技导报, 2005, (04): 47-51.
	Zhu Z L, Sun B, Yang L Z, et al. Policy and Countermeasures to Control Non-Point Pollution of Agriculture in China[J]. Science & Technology Review, 2005, (04): 47-51.
29	王长燕, 赵景波, 李小燕. 华北地区气候暖干化的农业适应性对策研究[J]. 干旱区地理, 2006, (05): 646-652.
	Wang C Y, Zhao J B, Li X Y. Study on agricultural adaptation to warming and drying climate in North China[J]. Arid Land Geography, 2006, (05): 646-652.
30	Zhang W, Lu Y, Van Der Werf W, et al. Multidecadal, county-level analysis of the effects of land use, Bt cotton, and weather on cotton pests in China[J]. Proceedings of the National Academy of Sciences, 2018, 115(33): E7700-E7709.
31	Zeng J, Liu Y, Zhang H, et al. Global warming modifies long-distance migration of an agricultural insect pest[J]. Journal of Pest Science, 2020, 93(2): 569-581.
32	付晓伟, 吴孔明. 迁飞性昆虫对全球气候变化的响应[J]. 中国农业科学, 2015, 48(S): 1-15.
	Fu X W, Wu K M. Responses of Migratory Insects to Global Climate Change[J]. Scientia Agricultura Sinica, 2015, 48(S): 1-15.
33	Grandy A S, Neff J C. Molecular C dynamics downstream: The biochemical decomposition sequence and its impact on soil organic matter structure and function[J]. Science of The Total Environment, 2008, 404(2): 297-307.
34	Crowther T W, Thomas S M, Maynard D S, et al. Biotic interactions mediate soil microbial feedbacks to climate change[J]. Proceedings of the National Academy of Sciences, 2015, 112(22): 7033-7038.
35	王丽, 霍治国, 张蕾, 等. 气候变化对中国农作物病害发生的影响[J]. 生态学杂志, 2012, (07): 1673-1684.
	Wang L, Huo Z G, Zhang L, et al. Effects of climate change on the occurrence of crop diseases in China[J]. Chinese Journal of Ecology, 2012, (07): 1673-1684.
36	霍治国, 李茂松, 李娜, 等. 季节性变暖对中国农作物病虫害的影响[J]. 中国农业科学, 2012, (11): 68-79.
	Huo Z G, Li M S, Li N, et al. Impacts of Seasonal Climate Warming on Crop Diseases and Pests in China[J]. Scientia Agricultura Sinica, 2012, (11): 68-79.
37	王志春, 杨军, 陈素华, 等. 气候变暖对内蒙古东部地区农牧业气候资源的影响[J]. 干旱区资源与环境, 2016, 30(4): 132-137.
	Wang Z C, Yang J, Chen S H, et al. Impact of warmer climate on agricultural and animal husbandry climatic resources in eastern Inner Mongolia[J]. Journal of Arid Land Resources and Environment, 2016, 30(4): 132-137.
38	甘琴. 季节性气候变化对牛疾病的影响及预防[J]. 乡村科技, 2017, 000(27): 68-69.
	Gan Q. The influence of seasonal climate change on cattle disease and its prevention[J]. Xiang Cun Ke Ji, 2017, 000(27): 68-69.
39	胡克, 吴文达, 张源淑, 等. 气候变化对我国舍饲家畜养殖业的影响与应对措施分析[J]. 黑龙江畜牧兽医, 2015, 000(007): 103-106.
	Hu K, Wu W D, Zhang Y S, et al. Analysis of the effect of climate change on confined-livestock raising industry and its countermeasures in China[J]. Heilongjiang Animal Science and Veterinary Medicine, 2015, 000(007): 103-106.
40	张玉源, 刘宏旺, 庄品. 气候变化对海洋渔业养殖的影响[J]. 科技视界, 2016, 000(3): 302-302.
	Zhang Y Y, Liu H W, Zhuang P. The impact of climate change on marine fish farming[J]. Science & Technology Vision, 2016, 000(3): 302-302.
41	林静云. 夏季极端天气后对虾养殖措施初探[J]. 上海农业科技, 2017, 000(6): 71, 80.
	Lin J Y. Preliminary Study on Shrimp Farming Measures after Extreme Weather in Summer[J]. Shanghai Agricultural Science and Technology, 2017, 000(6): 71, 80.
42	姜文生. 黄石气候特征对水产养殖业影响调研分析[J]. 农业与技术, 2017, 37(5): 119-121.
	Jiang W S. Investigation and analysis of the impact of Huangshi climate characteristics on aquaculture[J]. Agriculture & Technology, 2017, 37(5): 119-121.
43	Chang Y, Lee M-A, Lee K-T, et al. Adaptation of fisheries and mariculture management to extreme oceanic environmental changes and climate variability in Taiwan[J]. Marine Policy, 2013, 38: 476-482.
44	谢立勇, 林而达. 二氧化碳浓度增高对稻、麦品质影响研究进展[J]. 应用生态学报, 2007, (3): 308-312.
	Xie L Y, Lin E D. Effects of CO2 enrichment on grain quality of rice and wheat: a research review[J]. Chinese Journal Of Applied Ecology, 2007, (3): 308-312.
45	金志凤, 王治海, 姚益平, 等. 浙江省茶叶气候品质等级评价[J]. 生态学杂志, 2015, (05): 270-277.
	Jin Z F, Wang Z H, Yao Y P, et al. Evaluation of tea climate quality grade in Zhejiang[J]. Chinese Journal of Ecology, 2015, (05): 270-277.
46	黄中艳, 朱勇, 邓云龙, 等. 云南烤烟大田期气候对烟叶品质的影响[J]. 中国农业气象, 2008, 29(04): 440-445.
	Huang Z Y, Zhu Y, Deng Y L, et al. Influence of Climate During Field Growing Season on Quality of Tobacco Leaf in Yunnan Province[J]. Agricultural Meteorology, 2008, 29(04): 440-445.
47	Bhattarai S P, Midmore D J, Su N: Sustainable Irrigation to Balance Supply of Soil Water, Oxygen, Nutrients and Agro-Chemicals, Lichtfouse E, editor, Biodiversity, Biofuels, Agroforestry and Conservation Agriculture[M], Dordrecht: Springer Netherlands, 2011: 253-286.
48	高峰, 张雨, 李宁. 农业野外科学观测试验站现状及贡献分析——以中国农业科学院为例[J]. 广东农业科学, 2012, 39(9): 212-214.
	Gao F, Zhang Y, Li N. Analysis on the Status Quo and Contribution of Agricultural Field Science Observation and Experiment Station——A Case Study of Chinese Academy of Agricultural Sciences[J]. Guangdong Agricultural Sciences, 2012, 39(9): 212-214.
49	刘丽香, 张丽云, 赵芬, 等. 生态环境大数据面临的机遇与挑战[J]. 生态学报, 2017(14).
	Liu L X, Zhang L Y, Zhao F, et al. The opportunities and challenges presented by ecological environment big data[J]. Acta Ecologica Sinica, 2017(14).
50	韩家琪, 毛克彪, 夏浪, 等. 基于空间数据仓库的农业大数据研究[J]. 中国农业科技导报, 2016, 18(005):17-24.
	Han J Q, Mao K B, Xia L, et al. Research on Agricultural Big Data Based on Spatial Data Warehouse[J]. Journal of Agricultural Science and Technology, 2016, 18(005):17-24.
51	王昕, 王国复, 黄小猛. 科学大数据在全球气候变化研究中的应用[J]. 气候变化研究进展, 2016, 12(004):313-321.
	Wang X, Wang G F, Huang X M. The Application of Scientific Big Data in the Research of Global Climate Change[J]. Climate Change Research, 2016, 12(004):313-321.
52	兰玉彬, 王天伟, 陈盛德, 等. 农业人工智能技术:现代农业科技的翅膀[J]. 华南农业大学学报, 2020, 41(6):1-13.
	Lan Y B, Wang T W, Chen S D, et al. Agricultural artificial intelligence technology: Wings of modern agricultural science and technology[J]. Journal of South China Agricultural University, 2020, 41(6):1-13.
53	程曼, 袁洪波, 蔡振江, 等. 田间作物高通量表型信息获取与分析技术研究进展[J]. 农业机械学报, 2020, 51:314-324.
	Cheng M, Yuan H B, Cai Z J, et al. Review of Field-based Information Acquisition and Analysis of High-throughput Phenotyping[J]. Transactions of the Chinese Society for Agricultural Machinery, 2020, 51:314-324.
54	丁国辉, 许昊, 温明星, 等. 基于经济型低空无人机对小麦重要产量表型性状的多生育时期获取和自动化分析[J]. 农业大数据学报,2019,1(2): 19-31.
	Ding G H, Xu H, Wen M X, et al. Developing cost-effective and low-altitude UAV aerial phenotyping and automatedphenotypic analysis to measure key yield-related traits for bread wheat[J].Journal of Agricultural Big Data,2019,1(2): 19-31.

[1]	Yuxiao Sun, Yanli Li, Feng Li, Qian Chen. Research and Development Suggestions on Scientific Data Sharing at Home and Abroad [J]. Journal of Agricultural Big Data, 2022, 4(2): 88-98.
[2]	Muhan Xue, Shuo Xu, Huiyuan Liu, Feng Lu, Yu Wang, Ao Li. Research on Ocean Fishery Scientific Data Governance and Application Services [J]. Journal of Agricultural Big Data, 2022, 4(2): 99-107.
[3]	Yapeng Wang, Wenge Zhang, Lin Hu, TingTing Liu, Shanshan Cao, Lei Wang, Wei Sun. 3D Parameter Measurement Dataset of Picea Schrenkiana var. tianshanica by Using Backpack LiDAR in 2019 [J]. Journal of Agricultural Big Data, 2022, 4(1): 119-124.
[4]	Yahui Fan, Liang Zhu, Hua Zhao, Jianhua Zheng. Research on Intellectual Property Protection of Scientific Data Sharing [J]. Journal of Agricultural Big Data, 2021, 3(4): 3-9.
[5]	Xiaoding Feng, Xiaodong Wang, Bin Luo, Cheng Wang. Software Research and Development of a Multi-parameter Detection System for Plant Ion Absorption Based on LabVIEW [J]. Journal of Agricultural Big Data, 2021, 3(2): 16-23.
[6]	Qiang Li, Maofang Gao, Ying Fang. Research on the Construction of the Agricultural Big Data Information Platform [J]. Journal of Agricultural Big Data, 2021, 3(2): 24-30.
[7]	Rui Yan, Zhen Wang, Yanhao Li, Zhemin Li, Xian Li. The Application, Problems and Development of China's Agricultural Smart Sensors [J]. Journal of Agricultural Big Data, 2021, 3(2): 3-15.
[8]	Hui Wang, Haijiang Wang, Pan Gao, Ze Zhang, Tongyu Hou, Lü Xin. Methods for Agricultural Resource Data Collection and Integration: A Study of the Xinjiang Production and Construction Corporations [J]. Journal of Agricultural Big Data, 2021, 3(2): 31-41.
[9]	Xiaoli Wang, Qianhao Hu, Rui Man, Tingting Liu. Near-Infrared Spectral and Imaging Datasets of Fruit Tree Blooming in China in 2016 [J]. Journal of Agricultural Big Data, 2021, 3(1): 88-93.
[10]	Yan Zhuang, Shuai Yang, Zhaokun Liu, Jingchao Fan, Shuya Zhou. Research on Ownership and Protection Path of Observational Data in Agricultural Science [J]. Journal of Agricultural Big Data, 2020, 2(4): 107-112.
[11]	Xiaoli Wang, Qianhao Hu, Jingchao Fan, Zhuang Li. Spectra, Images and Nitrogen Contents of Apple Leaves in Northern Liaoning Province, China [J]. Journal of Agricultural Big Data, 2020, 2(4): 113-119.
[12]	Fei Gao, Xiaoli Wang, Tingting Liu, Zhuang Li, Rui Man. Spectral and Imaging Datasets of Apple Leaf Disease and Insect Pests in China in 2015 [J]. Journal of Agricultural Big Data, 2020, 2(4): 120-124.
[13]	Jingchao Fan, Rui Man, Xianghe Zhang, Guomin Zhou. Research on Standards for sharing Metadata of National Agricultural Observation Data [J]. Journal of Agricultural Big Data, 2020, 2(4): 14-19.
[14]	Yanqing Chen, Yongsheng Cao, Yunan Lin, Wei Fang. A Layout Method for National Crop Germplasm Resource Observation and Identification Station Systems [J]. Journal of Agricultural Big Data, 2020, 2(4): 20-28.
[15]	Muhan Xue, Huiyuan Liu, Feng Lu, Qingzhao Jiang. Research on Opening sharing and Application of Fishery Scientific Observation Data [J]. Journal of Agricultural Big Data, 2020, 2(4): 29-37.

Research on Data Fusion in Agricultural Scientific Observation Based on of Agricultural Environment

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 1

References 54

Related Articles 15

Metrics

Comments

Recommended 0