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Understanding Science and Policy Making in Agriculture: A Machine Learning Application for India

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  • SJ, Balaji
  • Babu, Suresh Chandra
  • Pal, Suresh

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  • SJ, Balaji & Babu, Suresh Chandra & Pal, Suresh, 2021. "Understanding Science and Policy Making in Agriculture: A Machine Learning Application for India," 2021 Conference, August 17-31, 2021, Virtual 315227, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae21:315227
    DOI: 10.22004/ag.econ.315227
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    1. Edward L. Glaeser & Andrew Hillis & Scott Duke Kominers & Michael Luca, 2016. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy," American Economic Review, American Economic Association, vol. 106(5), pages 114-118, May.
    2. Miao Zhong & Kevin Tran & Yimeng Min & Chuanhao Wang & Ziyun Wang & Cao-Thang Dinh & Phil De Luna & Zongqian Yu & Armin Sedighian Rasouli & Peter Brodersen & Song Sun & Oleksandr Voznyy & Chih-Shan Ta, 2020. "Accelerated discovery of CO2 electrocatalysts using active machine learning," Nature, Nature, vol. 581(7807), pages 178-183, May.
    3. Andrea Saltelli & Monica Fiore, 2020. "From sociology of quantification to ethics of quantification," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-8, December.
    4. Alston, Julian M. & Wyatt, T. J. & Pardey, Philip G. & Marra, Michele C. & Chan-Kang, Connie, 2000. "A meta-analysis of rates of return to agricultural R & D: ex pede Herculem?," Research reports 113, International Food Policy Research Institute (IFPRI).
    5. Nicolaas M. Angenent-Mari & Alexander S. Garruss & Luis R. Soenksen & George Church & James J. Collins, 2020. "A deep learning approach to programmable RNA switches," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    6. Kovacic, Zora & Giampietro, Mario, 2015. "Empty promises or promising futures? The case of smart grids," Energy, Elsevier, vol. 93(P1), pages 67-74.
    7. Helmut K. Anheier, 2019. "On the Future of the Public Policy School," Global Policy, London School of Economics and Political Science, vol. 10(1), pages 75-83, February.
    8. Evenson, Robert E. & Pray, Carl E. & Rosegrant, Mark W., 1999. "Agricultural research and productivity growth in India:," Research reports 109, International Food Policy Research Institute (IFPRI).
    9. Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
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    Keywords

    Agricultural and Food Policy; Research and Development/Tech Change/Emerging Technologies;

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