Paradigm change in Indian agricultural practices using Big Data: Challenges and opportunities from field to plate
Tài liệu tham khảo
Krishna Kumar, 2004, Climate impacts on indian agriculture, Int J Climatol, 24, 1375, 10.1002/joc.1081
Ahluwalia, 1978, Rural poverty and agricultural performance in India, J Dev Stud, 14, 298, 10.1080/00220387808421677
Bellù LG. The future of food and agriculture: alternative pathways to 2050, 2nd ed. The Food and Agriculture Organization (FAO). Link: http://www.fao.org/3/CA1553EN/ca1553en.pdf. 2018 (Published)/2019 [Retrieved].
Basso, 2001, Spatial validation of crop models for precision agriculture, Agric Syst, 68, 97, 10.1016/S0308-521X(00)00063-9
Aqeel-ur-Rehman, Abbasi AZ, Islam N, Shaikh ZA. A review of wireless sensors and networks’ applications in agriculture. Computer Standards and Interfaces, vol. 36, no. 2; 2014. p. 263–70
Lokers, 2016, Analysis of big data technologies for use in agro-environmental science, Environ Modell Software, 84, 494, 10.1016/j.envsoft.2016.07.017
Agboola, J. Big Data is the future. But where are the farmers? CGIAR platform for big data in agriculture. CGIAR-platform for big data in agriculture; 2018. https://bigdata.cgiar.org/big-data-is-the-future-but-where-are-the-farmers.
Janssen, 2007, Assessing farm innovations and responses to policies: a review of bio-economic farm models, Agric Syst, 94, 622, 10.1016/j.agsy.2007.03.001
Van Ittersum, 2008, Integrated assessment of agricultural systems–a component-based framework for the European Union (SEAMLESS), Agric Syst, 96, 150, 10.1016/j.agsy.2007.07.009
Schmolke, 2010, Ecological models supporting environmental decision making: a strategy for the future, Trends Ecol Evol, 25, 479, 10.1016/j.tree.2010.05.001
Verburg, 2004, Land use change modelling: current practice and research priorities, GeoJ: Spatially Integrated Soc Sci Hum, 309, 10.1007/s10708-004-4946-y
Leon R. (search. technologies). Precision agriculture: boosting productivity with big data. Search technologies; 2019. https://www.searchtechnologies.com/blog/precision-agriculture-big-data.
Tranfield, 2003, Towards a methodology for developing evidence-informed management knowledge by means of systematic review, Br J Manag, 14, 207, 10.1111/1467-8551.00375
Demchenko, 2013, Architecture framework and components for the big data ecosystem, Syst Netw Eng, 1, 1
Kalil, T. Big data is a big deal. The White House; 2012. https://obamawhitehouse.archives.gov/blog/2012/03/29/big-data-big-deal.
Faulkner A, Cebul K. Agriculture gets smart: the rise of data and robotics. Cleantech Group; 2014. https://www.cleantech.com/wp-content/uploads/2014/07/Agriculture-Gets-Smart-Report.pdf (Published)/2019 [Retrieved].
Ali A, Qadir J, Rasool R ur, Sathiaseelan A, Zwitter A, Crowcroft J. Big data for development: applications and techniques. Big Data Anal 2016;1(1):2.
Jin, 2015, Significance and challenges of big data research, Big Data Res, 2, 59, 10.1016/j.bdr.2015.01.006
Kshetri, 2014, The emerging role of Big Data in key development issues: opportunities, challenges, and concerns, Big Data Soc, 1, 10.1177/2053951714564227
Jacob Bunge. Big data comes to the farm, sowing mistrust. Wall Street J; 2014. https://www.wsj.com/articles/no-headline-available-1393372266.
Smart Farm Management Software. Agriculture Software; 2019. https://www.farmerp.com/.
Gold Farm. India's emerging agri platform; 2019. http://www.goldfarm.in/home/.
GigaOm. Cloud data platform for research; 2019. https://gigaom.com.
Farmer portal: one stop shop for farmers; 2019. https://farmer.gov.in/.
Kheyti–Small Farmer. Smart farmer; 2019. https://kheyti.com/.
Unimart – Farmer Advisory. Training & retail; 2019. https://in.uplonline.com/services/unimart.
JFS. JFarm Services. Farmer-to-farmer tractor rental. https://www.jfarmservices.in/.
Department of Agriculture Cooperation & Farmers Welfare. Mo A&FW . Government of India. http://agricoop.nic.in/.
Indian Council of Agricultural Research. Ministry of Agriculture and Farmers Welfare. https://icar.org.in/.
Agriculture and Processed food products Export development authority. Government of India. http://apeda.gov.in/apedawebsite/.
MGNREGA (Mahatma Gandhi National Rural Employment Gurantee Act). Ministry of Rural Development. GoI. https://nrega.nic.in/netnrega/Janmanrega.htm.
Indian Society of Agribusiness Professionals (ISAP). Technology business Incubator. https://www.isapindia.org/.
Agriculture. National portal of India. https://www.india.gov.in/topics/agriculture.
RML Agtech. Formerly reuters market light. https://rmlagtech.com/.
Government of India. Department of fertilizers. Ministry of Chemicals and Fertilizers. http://fert.nic.in/.
Agriquest. Seed certification and development. http://www.agriquest.info/.
Agriculture Drone Services and Crop Analytics. AgVue Technologies. http://www.agvue.tech/.
PrecisionAg. Advancing global digital agriculture. https://www.precisionag.com/.
Ag-Analytics. Farm management platform. https://ag-analytics.org/.
Lightning Fast Data Science Platform for Teams. RapidMiner©. https://rapidminer.com/.
Open Data Kit. A free and open source data collection. https://opendatakit.org/.
Weka 3 – Data Mining with open source machine learning software in java. https://www.cs.waikato.ac.nz/~ml/weka/.
Amazon EMR – Amazon Web Services. https://aws.amazon.com/emr/.
Data.gov. The home of the U.S. Government’s open data. Link: https://www.data.gov/.
Statista – The statistics portal for market data, market research and market studies. https://www.statista.com/.
World Bank Open Data. Open Access to global development data. https://data.worldbank.org/.
data.gov.in. Open Government Data [OGD] platform India. https://data.gov.in/.
Porter, 1997, Competitive strategy: techniques for analyzing industries and competitors
Bhadani A, Jothimani D. Big data: challenges, opportunities and realities. Effective big data management and opportunities for implementation; 2017. p. 1–24.
Kacfah Emani, 2015, Understandable big data: a survey, Comput Sci Rev, 17, 70, 10.1016/j.cosrev.2015.05.002
Agrawal, 2012
Prathap kumar, 2018, Information extraction using by big data, Int J Pure Appl Math, 118, 1
Russom, 2011, Big data analytics – TDWI best practices report introduction to big data analytics, Tdwi Res, 1, 3
Laude, 2018, France’s governmental big data analytics: from predictive to prescriptive using R. From predictive to prescriptive using R. Federal data science: transforming government and agricultural policy using, Artif Intell, 81
Makin, 2000, Remote sensing for irrigated agriculture: examples from research and possible applications, Agric Water Manag, 46, 137, 10.1016/S0378-3774(00)00080-9
Cleary P, on behalf of the outbreak control t, C., Syed Q, Lane C, Quigley C, Kearney J, Fox A. A foodborne outbreak of Salmonella Bareilly in the United Kingdom, 2010. Eurosurveillance 2017;15(48):5–7.
Faulkner, 2014, Agriculture gets smart: the rise of data and robotics, Cleantech Group, 1
Cornell University, INSEAD, and the W. I., & Property Organization. The Global Innovation Index 2017 innovation feeding the world. In the global innovation index 2017: Innovation feeding the world; 2017.
Garnett, 2013, Sustainable intensification in agriculture: premises and policies, Science, 341, 33, 10.1126/science.1234485
Jaruzelski B, Staack V, Johnson T. Innovation from Farm to Table. strategy+business; 2017. https://www.strategy-business.com/article/Innovation-from-Farm-to-Table.
Lepoutre D, Layrol L. Satellite-derived management zones – tech briefs. NASA Tech Briefs Media group; 2005. https://www.techbriefs.com/component/content/article/tb/techbriefs/bio-medical/264.
Marr B. The incredible ways John Deere is using artificial intelligence to transform farming. Forbes; 2018. https://www.forbes.com/sites/bernardmarr/2018/03/09/the-incredible-ways-john-deere-is-using-artificial-intelligence-to-transform-farming/#4cfdbc5b330d.
Zong, 2017, Precise base editing in rice, wheat and maize with a Cas9-cytidine deaminase fusion, Nat Biotechnol, 35, 438, 10.1038/nbt.3811
Venkatesh A, Bhandari V, Pande V. Big data for farmers. The Indian Express; 2018. https://indianexpress.com/article/opinion/columns/indian-farmers-soil-health-cards-narendra-modi-govt-indian-agriculture-5333347
Geissbauer R, Evelyn Lübben, Schrauf S, Pillsbury S. Global digital operations study 2018: digital champions. PwC Network, 64; 2018. https://www.strategyand.pwc.com/gx/en/insights/industry4-0/global-digital-operations-study-digital-champions.pdf.
Stafford, 2000, Implementing precision agriculture in the 21st century, J Agric Eng Res, 76, 267, 10.1006/jaer.2000.0577
Malczewski, 2006, GIS-based multicriteria decision analysis: a survey of the literature, Int J Geograph Inform Sci, 20, 703, 10.1080/13658810600661508
Verdouw, 2015, ERP in agriculture: lessons learned from the Dutch horticulture, Comput Electron Agric, 114, 125, 10.1016/j.compag.2015.04.002
Sørensen, 2010, Conceptual model of a future farm management information system, Comput Electron Agric, 72, 37, 10.1016/j.compag.2010.02.003
Davenport TH, Davenport. Mission critical: realizing the promise of enterprise systems. USA: Harvard Business School Press; 2000.
Hansen, 1996, Is agricultural sustainability a useful concept?, Agric Syst, 50, 117, 10.1016/0308-521X(95)00011-S
Maheswarappa, 2011, Carbon footprint and sustainability of agricultural production systems in India, J Crop Improvement, 25, 303, 10.1080/15427528.2011.567382
Perritt, 1997, Open government, Gov Inform Quart, 14, 397, 10.1016/S0740-624X(97)90035-6
Sekhar, 2018, Big data analytics on indian crop planning to increase agricultural production, Adv Sci Technol Lett, 147, 211
Moorthy, 2015, Big data: prospects and challenges, Vikalpa, 40, 74, 10.1177/0256090915575450
Carbonell, 2016, The ethics of big data in big agriculture, Internet Policy Review., 5, 1, 10.14763/2016.1.405
Gilpin L. How big data is going to help feed nine billion people by 2050 – TechRepublic. https://www.techrepublic.com/article/how-big-data-is-going-to-help-feed-9-billion-people-by-2050. 2014.
Lesser A. Big data and big agriculture – Gigaom; 2014. https://gigaom.com/report/big-data-and-big-agriculture.
Poppe, 2015, A european perspective on the economics of big data, Farm Policy J, 12, 11
Tong, 2015, Research on the Big Data-based government decision and public information service model of food safety and nutrition industry, J Food Safety Quality, 6, 366
Wolfert, 2017, Big data in smart farming – a review, Agric Syst, 153, 69, 10.1016/j.agsy.2017.01.023
Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Hung Byers A. Big data: the next frontier for innovation, competition, and productivity. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/big-data-the-next-frontier-for-innovation. 2011/2019 [Retrieved].
Van Alstyne, 1995, Why not one big database? Principles for data ownership, Decis Support Syst, 15, 267, 10.1016/0167-9236(94)00042-4
Bamford Roger J, Chandrasekaran Sashikanth, Pruscino Angelo. Dynamic reassignment of data ownership. Oracle International Corp.; 2004. https://patentimages.storage.googleapis.com/3e/41/94/b43035fd33b8d8/US7277897B2.pdf [Published]/2019[Retrieved].
Gilpin L. How big data is going to help feed nine billion people by 2050 – TechRepublic; 2014. Retrieved from https://www.techrepublic.com/article/how-big-data-is-going-to-help-feed-9-billion-people-by-2050/.