术语表

1 Klerkx, L., Jakku, E. & Labarthe, P. 2019. A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences, 90–91: 100315. https://doi.org/10.1016/j.njas.2019.100315

2 Schroeder, K., Lampietti, J. & Elabed, G. 2021. What’s cooking: Digital transformation of the agrifood system. Washington, DC, World Bank. https://openknowledge.worldbank.org/handle/10986/35216

3 Birner, R., Daum, T. & Pray, C. 2021. Who drives the digital revolution in agriculture? A review of supply-side trends, players and challenges. Applied Economic Perspectives and Policy, 43(4): 1260–1285. https://doi.org/10.1002/aepp.13145

4 Santos Valle, S. & Kienzle, J. 2020. Agriculture 4.0 – Agricultural robotics and automated equipment for sustainable crop production. Integrated Crop Management No. 24. Rome, FAO. www.fao.org/3/cb2186en/CB2186EN.pdf

5 FAO. 2016. Sustainable agricultural mechanization. Fact Sheet. Rome. www.fao.org/3/i6167e/i6167e.pdf

6 FAO & AUC (African Union Commission). 2018. Sustainable agricultural mechanization: A framework for Africa. Addis Ababa. www.fao.org/3/CA1136EN/ca1136en.pdf

7 FAO. 2021. The State of Food and Agriculture 2021. Making agrifood systems more resilient to shocks and stresses. Rome. https://doi.org/10.4060/cb4476en

8 Lowenberg-DeBoer, J. 2022. Economics of adoption for digital automated technologies in agriculture. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Working Paper 22-10. Rome, FAO.

9 Ceccarelli, T., Chauhan, A., Rambaldi, G., Kumar, I., Cappello, C., Janssen, S. & McCampbell, M. 2022. Leveraging automation and digitalization for precision agriculture: Evidence from the case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 24. Rome, FAO.

10 FAO. 2017. Conservation agriculture. Fact Sheet. Rome. www.fao.org/3/i7480en/I7480EN.pdf

11 ISPA (International Society of Precision Agriculture). 2021. Precision Ag Definition. In: ISPA. Monticello, IL, USA. Cited 20 December 2021. www.ispag.org/about/definition

12 Lowenberg-DeBoer, J., Huang, I.Y., Grigoriadis, V. & Blackmore, S. 2020. Economics of robots and automation in field crop production. Precision Agriculture, 21(2): 278–299. https://doi.org/10.1007/s11119-019-09667-5

13 Rose, D. 2022. Agricultural automation: the past, present and future of adoption. The State of Food and Agriculture 2022, background paper. Internal document.

14 McCampbell, M. 2022. Agricultural digitalization and automation in low- and middle-income countries: Evidence from ten case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 25. Rome, FAO.

第1章

1 ISPA. 2021. Precision Ag Definition. In: ISPA. Monticello, IL, USA. Cited 20 December 2021. www.ispag.org/about/definition

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13 Shiva, V. 1991. The violence of the green revolution: Third World agriculture, ecology and politics. London, Zed Books.

14 FAO. 2016. Sustainable agricultural mechanization. Fact Sheet. Rome. www.fao.org/3/i6167e/i6167e.pdf

15 Santos Valle, S. & Kienzle, J. 2020. Agriculture 4.0 – Agricultural robotics and automated equipment for sustainable crop production. Integrated Crop Management No. 24. Rome, FAO. www.fao.org/3/cb2186en/CB2186EN.pdf

16 Gan, H. & Lee, W.S. 2018. Development of a navigation system for a smart farm. IFAC-PapersOnLine, 51(17): 1–4. https://doi.org/10.1016/j.ifacol.2018.08.051

17 Lowenberg-DeBoer, J., Yuelu Huang, I., Grigoriadis, V. & Blackmore, S. 2020. Economics of robots and automation in field crop production. Precision Agriculture, 21(2): 278–299. https://doi.org/10.1007/s11119-019-09667-5

18 Trendov, N.M., Varas, S. & Zeng, M. 2019. Digital technologies in agriculture and rural areas – Status report. Rome, FAO. www.fao.org/3/ca4985en/CA4985EN.pdf

19 FAO. 2022. FAOSTAT: Employment Indicators: Agriculture. In: FAO. Rome. Cited 6 February 2022. www.fao.org/faostat/en/#data/OEA

20 Charlton, D., Hill, A.E. & Taylor, E.J. 2022. Automation and social impacts: winners and losers. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Working Paper 22-09. Rome, FAO.

21 Silva, J.V., Baudron, F., Reidsma, P. & Giller, K.E. 2019. Is labour a major determinant of yield gaps in sub-Saharan Africa? A study of cereal-based production systems in Southern Ethiopia. Agricultural Systems, 174: 39–51. https://doi.org/10.1016/j.agsy.2019.04.009

22 Baudron, F., Misiko, M., Getnet, B., Nazare, R., Sariah, J. & Kaumbutho, P. 2019. A farm-level assessment of labor and mechanization in Eastern and Southern Africa. Agronomy for Sustainable Development, 39(2): 17. https://doi.org/10.1007/s13593-019-0563-5

23 Diao, X., Cossar, F., Houssou, N. & Kolavalli, S. 2014. Mechanization in Ghana: Emerging demand, and the search for alternative supply models. Food Policy, 48: 168–181. https://doi.org/10.1016/j.foodpol.2014.05.013

24 Fuglie, K., Gautam, M., Goyal, A. & Maloney, W.F. 2019. Harvesting prosperity: Technology and productivity growth in agriculture. Washington, DC, World Bank. https://openknowledge.worldbank.org/handle/10986/32350

25 Lowder, S.K., Sánchez, M.V. & Bertini, R. 2019. Farms, family farms, farmland distribution and farm labour: What do we know today? FAO Agricultural Development Economics Working Paper No. 19-08. Rome, FAO. www.fao.org/3/ca7036en/ca7036en.pdf

26 Takeshima, H. & Vos, R. 2022. Agricultural mechanisation and child labour in developing countries. Background Study. Rome, FAO. www.fao.org/3/cb8550en/cb8550en.pdf

27 Johnston, D., Stevano, S., Malapit, H.J., Hull, E. & Kadiyala, S. 2018. Review: Time use as an explanation for the agri-nutrition disconnect: Evidence from rural areas in low and middle-income countries. Food Policy, 76: 8–18. https://doi.org/10.1016/j.foodpol.2017.12.011

28 Daum, T. & Birner, R. 2021. The forgotten agriculture-nutrition link: farm technologies and human energy requirements. Food Security. https://doi.org/10.1007/s12571-021-01240-1

29 Ogwuike, P., Rodenburg, J., Diagne, A., Agboh-Noameshie, A.R. & Amovin-Assagba, E. 2014. Weed management in upland rice in sub-Saharan Africa: impact on labor and crop productivity. Food Security, 6(3): 327–337. https://doi.org/10.1007/s12571-014-0351-7

30 Castro, Á., Pereira, J.M., Amiama, C. & Bueno, J. 2015. Typologies of dairy farms with automatic milking system in northwest Spain and farmers’ satisfaction. Italian Journal of Animal Science, 14(2): 3559. https://doi.org/10.4081/ijas.2015.3559

31 Hansen, B.G. & Stræte, E.P. 2020. Dairy farmers’ job satisfaction and the influence of automatic milking systems. NJAS - Wageningen Journal of Life Sciences, 92(1): 1–13. https://doi.org/10.1016/j.njas.2020.100328

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36 Charlton, D., Taylor, J.E., Vougioukas, S. & Rutledge, Z. 2019. Can wages rise quickly enough to keep workers in the fields? Choices, 34(2): 1–7. www.choicesmagazine.org/choices-magazine/submitted-articles/can-wages-rise-quickly-enough-to-keep-workers-in-the-fields

37 Ali, I., Nagalingam, S. & Gurd, B. 2017. Building resilience in SMEs of perishable product supply chains: enablers, barriers and risks. Production Planning & Control, 28(15): 1236–1250. https://doi.org/10.1080/09537287.2017.1362487

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41 Ali, I. & Aboelmaged, M.G.S. 2021. Implementation of supply chain 4.0 in the food and beverage industry: perceived drivers and barriers. International Journal of Productivity and Performance Management.

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43 Streed, A., Tomlinson, B., Kantar, M. & Raghavan, B. 2021. How sustainable is the smart farm? Paper presented at LIMITS 2021, 14–15 June 2021. https://computingwithinlimits.org/2021/papers/limits21-streed.pdf

44 Schillings, J., Bennett, R. & Rose, D.C. 2021. Exploring the potential of precision livestock farming technologies to help address farm animal welfare. Frontiers in Animal Science, 2: 639678. https://doi.org/10.3389/fanim.2021.639678

45 Berckmans, D. 2014. Precision livestock farming technologies for welfare management in intensive livestock systems. Scientific and Technical Review – OIE, 33(1): 189–196.

46 Werkheiser, I. 2018. Precision livestock farming and farmers’ duties to livestock. Journal of Agricultural and Environmental Ethics, 31: 181–195. https://doi.org/10.1007/s10806-018-9720-0

47 Bos, J.M., Bovenkerk, B., Feindt, P.H. & van Dam, Y.K. 2018. The quantified animal: Precision livestock farming and the ethical implications of objectification. Food Ethics, 2(1): 77–92. https://doi.org/10.1007/s41055-018-00029-x

48 Miles, C. 2019. The combine will tell the truth: On precision agriculture and algorithmic rationality. Big Data & Society, 6(1): 2053951719849444.

49 Duncan, E., Glaros, A., Ross, D.Z. & Nost, E. 2021. New but for whom? Discourses of innovation in precision agriculture. Agriculture and Human Values, 38: 1181–1199. https://doi.org/10.1007/s10460-021-10244-8

50 Wiseman, L., Sanderson, J., Zhang, A. & Jakku, E. 2019. Farmers and their data: An examination of farmers’ reluctance to share their data through the lens of the laws impacting smart farming. NJAS - Wageningen Journal of Life Sciences, 90–91: 100301. https://doi.org/10.1016/j.njas.2019.04.007

51 Murray, U., Gebremedhin, Z., Brychkova, G. & Spillane, C. 2016. Smallholder farmers and climate smart agriculture: Technology and labor-productivity constraints amongst women smallholders in Malawi. Gender, Technology and Development, 20(2): 117–148. https://doi.org/10.1177/0971852416640639

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53 FAO. 2019. Youth employment: Youth agri-food policy assistance. Rome. www.fao.org/3/ca3854en/ca3854en.pdf

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55 Autor, D.H. 2015. Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3): 3–30. www.aeaweb.org/articles?id=10.1257/jep.29.3.3

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58 Daum, T. & Birner, R. 2020. Agricultural mechanization in Africa: Myths, realities and an emerging research agenda. Global Food Security, 26: 100393. https://doi.org/10.1016/j.gfs.2020.100393

59 FAO & AUC. 2018. Sustainable agricultural mechanization: A framework for Africa. Addis Ababa. www.fao.org/3/CA1136EN/ca1136en.pdf

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62 McCampbell, M. 2022. Agricultural digitalization and automation in low- and middle-income countries: Evidence from ten case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 25. Rome, FAO.

63 Ceccarelli, T., Chauhan, A., Rambaldi, G., Kumar, I., Cappello, C., Janssen, S. & McCampbell, M. 2022. Leveraging automation and digitalization for precision agriculture: Evidence from the case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 24. Rome, FAO.

64 Daum, T. 2022. Agricultural mechanization and sustainable agrifood system transformation in the Global South. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Working Paper 22-11. Rome, FAO.

65 Lowenberg-DeBoer, J. 2022. Economics of adoption for digital automated technologies in agriculture. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Working Paper 22-10. Rome, FAO.

66 Rose, D. 2022. Agricultural automation: the past, present and future of adoption. The State of Food and Agriculture 2022, background paper. Internal document.

第2章

1 McCampbell, M. 2022. Agricultural digitalization and automation in low- and middle-income countries: Evidence from ten case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 25. Rome, FAO.

2 Ceccarelli, T., Chauhan, A., Rambaldi, G., Kumar, I., Cappello, C., Janssen, S. & McCampbell, M. 2022. Leveraging automation and digitalization for precision agriculture: Evidence from the case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 24. Rome, FAO.

3 White, W.J. 2001. An unsung hero: the farm tractor’s contribution to twentieth-century United States economic growth. The Journal of Economic History, 61(2): 493–496. https://EconPapers.repec.org/RePEc:cup:jechis:v:61:y:2001:i:02:p:493-496_23

4 Binswanger, H. 1986. Agricultural mechanization: a comparative historical perspective. The World Bank Research Observer, 1(1): 27–56. https://doi.org/10.1093/wbro/1.1.27

5 Mrema, G., Soni, P. & Rolle, R.S. 2015. A Regional Strategy for Sustainable Agricultural Mechanization. Sustainable Mechanization across Agri-Food Chains in Asia and the Pacific region. RAP Publication No. 2014/24. Rome FAO. www.fao.org/documents/card/en/c/78c1b49f-b5c2-43b5-abdf-e63bb6955f4f

6 Diao, X., Takeshima, H. & Zhang, X. 2020. An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? Washington, DC, IFPRI (International Food Policy Research Institute). https://ebrary.ifpri.org/digital/collection/p15738coll2/id/134095

7 Daum, T. & Birner, R. 2020. Agricultural mechanization in Africa: Myths, realities and an emerging research agenda. Global Food Security, 26: 100393. https://doi.org/10.1016/j.gfs.2020.100393

8 Kirui, O. 2019. The agricultural mechanization in Africa: Micro-level analysis of state drivers and effects. ZEF-Discussion Papers on Development Policy No. 272. University of Bonn. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3368103

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10 ECLAC (Economic Commission for Latin America and the Caribbean), FAO & IICA (Inter-American Institute for Cooperation on Agriculture). 2017. The outlook for agriculture and rural development in the Americas: A perspective on Latin America and the Caribbean 2017-2018. San Jose, Costa Rica, IICA. www.fao.org/3/i8048en/I8048EN.pdf

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14 Belton, B., Win, M.T., Zhang, X. & Filipski, M. 2021. The rapid rise of agricultural mechanization in Myanmar. Food Policy, 101: 102095. https://doi.org/10.1016/j.foodpol.2021.102095

15 FAO & AUC. 2018. Sustainable agricultural mechanization: A framework for Africa. Addis Ababa. www.fao.org/3/CA1136EN/ca1136en.pdf

16 Pingali, P. 2007. Chapter 54 Agricultural mechanization: Adoption patterns and economic impact. In: R. Evenson & P. Pingali, eds. Handbook of agricultural economics, pp. 2779–2805. Amsterdam, Elsevier. https://doi.org/10.1016/S1574-0072(06)03054-4

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19 Ahmed, M. & Takeshima, H. 2020. Evolution of agricultural mechanization in Bangladesh: The case of tractors for land preparation. In: X. Diao, H. Takeshima & X. Zhang, eds. An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? pp. 235–261. Washington, DC, IFPRI. https://doi.org/10.2499/9780896293809_07

20 Win, M.T., Belton, B. & Zhang, X. 2020. Myanmar’s rapid agricultural mechanization: Demand and supply evidence. In: X. Diao, H. Takeshima & X. Zhang, eds. An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? pp. 263–284. Washington, DC, IFPRI. https://doi.org/10.2499/9780896293809_08

21 Bhattarai, M., Singh, G., Takeshima, H. & Shekhawat, R.S. 2020. Farm machinery use and the agricultural machinery industries in India. In: X. Diao, H. Takeshima & X. Zhang, eds. An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? pp. 97–138. Washington, DC, IFPRI. https://ebrary.ifpri.org/digital/collection/p15738coll2/id/134090

22 Antle, J.M. & Ray, S. 2020. Sustainable agricultural development: An economic perspective. Palgrave Studies in Agricultural Economics and Food Policy. Cham, Springer International Publishing. http://link.springer.com/10.1007/978-3-030-34599-0

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32 McCampell, M. 2021. More than what meets the eye: Factors and processes that shape the design and use of digital agricultural advisory and decision support in Africa. Wageningen University, Netherlands. https://research.wur.nl/en/publications/388eb987-15f2-4fb0-b9c1-f0f6ff342e98

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53 Diiro, G.M., Fisher, M., Kassie, M., Muriithi, B.W. & Muricho, G. 2021. How does adoption of labor saving agricultural technologies affect intrahousehold resource allocations? The case of push-pull technology in Western Kenya. Food Policy, 102: 102114. http://oar.icrisat.org/11845/1/Impact%20of%20Push%20Pull%20Technology%20on%20Intra-Household%20Labour%20Allocation%20in%20Kenya.pdf

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第5章

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2 Klerkx, L. & Rose, D. 2020. Dealing with the game-changing technologies of Agriculture 4.0: How do we manage diversity and responsibility in food system transition pathways? Global Food Security, 24: 100347. https://doi.org/10.1016/j.gfs.2019.100347

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5 Daum, T. & Birner, R. 2017. The neglected governance challenges of agricultural mechanisation in Africa – insights from Ghana. Food Security, 9(5): 959–979. https://doi.org/10.1007/s12571-017-0716-9

6 Cramb, R. & Thepent, V. 2020. Evolution of agricultural mechanization in Thailand. In: X. Diao, H. Takeshima & X. Zhang, eds. An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? pp. 165–201. Washington, DC, IFPRI. https://ebrary.ifpri.org/utils/getfile/collection/p15738coll2/id/134091/filename/134311.pdf

7 Justice, S. & Biggs, S. 2020. The spread of smaller engines and markets in machinery services in rural areas of South Asia. Journal of Rural Studies, 73: 10–20. https://doi.org/10.1016/j.jrurstud.2019.11.013

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11 European Commission. 2020. Facing the challenges of broadband deployment in rural and remote areas: A handbook for project promoters and policy makers. www.byanatsforum.se/wp-content/uploads/2020/05/Broadband-handbook-2020pdf.pdf

12 Van Loon, J., Woltering, L., Krupnik, T.J., Baudron, F., Boa, M. & Govaerts, B. 2020. Scaling agricultural mechanization services in smallholder farming systems: Case studies from sub-Saharan Africa, South Asia, and Latin America. Agricultural Systems, 180: 102792. https://doi.org/10.1016/j.agsy.2020.102792

13 Diao, X., Takeshima, H. & Zhang, X. 2020. An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? Washington, DC, IFPRI. https://ebrary.ifpri.org/digital/collection/p15738coll2/id/134095

14 Kwet, M. 2019. Digital colonialism is threatening the Global South. In: Aljazeera. Cited 25 July 2022. www.aljazeera.com/opinions/2019/3/13/digital-colonialism-is-threatening-the-global-south

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17 Smart Africa. 2022. AgriTech blueprint for Africa. https://smart.africa/board/login/uploads/71613-continental-agritech-blueprint-eng.pdf

18 FAO & ITU. 2017. E-agriculture strategy guide: A summary. Bangkok. www.fao.org/3/i6909e/i6909e.pdf

19 Ströh de Martínez, C., Feddersen, M. & Speicher, A. 2016. Food security in sub-Saharan Africa: A fresh look on agricultural mechanisation. How adapted financial solutions can make a difference. Studies No. 91. Bonn, Germany, German Development Institute. www.die-gdi.de/uploads/media/Study_91.pdf

20 Bhattarai, M., Singh, G., Takeshima, H. & Shekhawat, R.S. 2020. Farm machinery use and the agricultural machinery industries in India. In: X. Diao, H. Takeshima & X. Zhang, eds. An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia? pp. 97–138. Washington, DC, IFPRI. https://ebrary.ifpri.org/digital/collection/p15738coll2/id/134090

21 FAO & AUC. 2018. Sustainable agricultural mechanization: A framework for Africa. Addis Ababa. www.fao.org/3/CA1136EN/ca1136en.pdf

22 Ceccarelli, T., Chauhan, A., Rambaldi, G., Kumar, I., Cappello, C., Janssen, S. & McCampbell, M. 2022. Leveraging automation and digitalization for precision agriculture: Evidence from the case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 24. Rome, FAO.

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24 Meyer, R. 2011. Subsidies as an instrument in agriculture finance: A review. Washington, DC, World Bank. https://openknowledge.worldbank.org/bitstream/handle/10986/12696/707300ESW0P1120ies0as0an0Instrument.pdf?sequence=1&isAllowed=y

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26 Daum, T., Huffman, W. & Birner, R. 2018. How to create conducive institutions to enable agricultural mechanization: A comparative historical study from the United States and Germany. Economics Working Paper. Ames, USA, Department of Economics, Iowa State University. https://lib.dr.iastate.edu/econ_workingpapers/47

27 Grain Producers Australia (GPA), Tractor and Machinery Association (TMA) & Society of Precision Agriculture Australia (SPAA). 2021. Code of practice. Agricultural Mobile Field Machinery with Autonomous Functions in Australia. www.graincentral.com/wp-content/uploads/2021/08/Code-of-Practice.pdf

28 Lowenberg-DeBoer, J., Behrendt, K., Ehlers, M.-H., Dillon, C., Gabriel, A., Huang, I.Y., Kumwenda, I. et al. 2021. Lessons to be learned in adoption of autonomous equipment for field crops. Applied Economic Perspectives and Policy, 44(2): 848–864. https://doi.org/10.1002/aepp.13177

29 Justice, S., Flores Rojas, M. & Basnyat, M. 2022. Empowering women farmers – A mechanization catalogue for practitioners. Rome, FAO. www.fao.org/3/cb8681en/cb8681en.pdf

30 Flores Rojas, M. 2018. Gender sensitive labour saving technology. Drum seeder: saving time, effort and money. A case study from the Lao People’s Democratic Republic. Bangkok, FAO. www.fao.org/3/i9464en/i9464en.pdf

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33 McCampbell, M. 2022. Agricultural digitalization and automation in low- and middle-income countries: Evidence from ten case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 25. Rome, FAO.

34 Northrup, D.L., Basso, B., Wang, M.Q., Morgan, C.L.S. & Benfey, P.N. 2021. Novel technologies for emission reduction complement conservation agriculture to achieve negative emissions from row–crop production. Proceedings of the National Academy of Sciences, 118(28): e2022666118.

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36 Jaleta, M., Baudron, F., Krivokapic-Skoko, B. & Erenstein, O. 2019. Agricultural mechanization and reduced tillage: antagonism or synergy? International Journal of Agricultural Sustainability, 17(3): 219–230. https://doi.org/10.1080/14735903.2019.1613742

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41 Torero, M. 2019. Robotics and AI in food security and innovation: Why they matter and how to harness their power. In: J. von Braun, M.S. Archer, G.M. Reichberg & M. Sánchez Sorondo, eds. Robotics, AI, and humanity: Science, ethics, and policy, pp. 99–107. Springer.

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49 Bhattacharyya, T., Wani, S.P. & Tiwary, P. 2021. Empowerment of stakeholders for scaling-up: digital technologies for agricultural extension. In: S.P. Wani, K.V. Raju & T. Bhattacharyya, eds. Scaling-up solutions for farmers, pp. 121–147. Cham, Springer International Publishing. https://link.springer.com/10.1007/978-3-030-77935-1_3

附件1

1 McCampbell, M. 2022. Agricultural digitalization and automation in low- and middle-income countries: Evidence from ten case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 25. Rome, FAO.

2 Ceccarelli, T., Chauhan, A., Rambaldi, G., Kumar, I., Cappello, C., Janssen, S. & McCampbell, M. 2022. Leveraging automation and digitalization for precision agriculture: Evidence from the case studies. Background paper for The State of Food and Agriculture 2022. FAO Agricultural Development Economics Technical Study No. 24. Rome, FAO.

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