O papel do ecossistema de inovação para desenvolver uma agricultura inteligente

Bernardo Henrique Leso; Daisy Valle Enrique; Diego Falcão Peruchi

doi:10.5585/exactaep.2021.17362

Autores

Bernardo Henrique Leso Universidade Federal do Rio Grande do Sul http://orcid.org/0000-0001-9824-4246
Daisy Valle Enrique Universidade da Beira Interior, Portugal https://orcid.org/0000-0002-0568-1146
Diego Falcão Peruchi Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0002-9808-442X

DOI:

https://doi.org/10.5585/exactaep.2021.17362

Palavras-chave:

Agronegócio, Agricultura inteligente, Ecossistema de inovação, Tecnologias digitais.

Resumo

Dado o crescimento do desenvolvimento e adoção de tecnologias digitais no ecossistema do agronegócio, o qual representa um mercado em expansão, o presente estudo verifica a influência das novas tecnologias digitais no agronegócio e como os atores do ecossistema de inovação ajudam desenvolver e implementar as mesmas. Para isto foram feitas 18 entrevistas semi-estruturadas com diferentes atores do ecossistema agrícola. Os resultados apontam que o processo de digitalização no setor ainda é lento, devido diferentes barreiras relacionadas à infraestrutura de rede, à falta de conhecimento e habilidades e à resistência à adoção de tecnologia por parte dos agricultores, principalmente produtores de pequeno e médio porte. Nesse contexto os atores do ecossistema detêm um papel fundamental: universidades com pesquisa de pontas que impactam no setor e empresas públicas e privadas promovendo o uso das tecnologias e sendo um elo entre os desenvolvedores das mesmas e o agricultor.

Downloads

Não há dados estatísticos.

Biografia do Autor

Bernardo Henrique Leso, Universidade Federal do Rio Grande do Sul

Doutorando e mestre em engenharia de produção (UFRGS) com ênfase em inovação e tecnologia. Possui duplo-diploma de engenharia de produção pelo INP GI (França) e UFRGS e tem formação em Empreendedorismo pela Babson College (EUA).

Daisy Valle Enrique, Universidade da Beira Interior, Portugal

Daisy Valle Enrique é formada em engenharia de produção pelo Instituto politécnico José Antônio Echeverría, Havana, Cuba. Possui mestrado em engenharia de produção pela UFRGS. Atualmente faz doutorado em cotutela entre a universidade da beira interior e a UFRGs. Suas principais áreas de pesquisa são: desenvolvimento de novos produtos, gestão de tecnologías, engenharia organizacional , pss

Diego Falcão Peruchi, Universidade Federal do Rio Grande do Sul

Engenheiro civil pela UFRGS, mestre em engenharia de produção UFRGS. Atuação na área de inovação e empreendedorismo.

Referências

Armbruster, W.J., Macdonell, M.M., (2014). Informatics to Support International Food Safety. s.l., s.n., pp. 127–134.

Bastiaanssen, Wim G.m; Molden, David J; Makin, Ian W.(2000). Remote sensing for irrigated agriculture: examples from research and possible applications. Agricultural Water Management, [s.l.], v. 46, n. 2, p.137-155. http://dx.doi.org/10.1016/s0378-3774(00)00080-9

Berthet, Elsa T.; Hickey, Gordon M.; Klerkx, Laurens.(2018). Opening design and innovation processes in agriculture: Insights from design and management sciences and future directions. Agricultural Systems, [s.l.], v. 165, p.111-115. http://dx.doi.org/10.1016/j.agsy.2018.06.004

Blender, (2016). Timo et al. Managing a Mobile Agricultural Robot Swarm for a seeding task. Iecon 2016 - 42nd Annual Conference Of The Ieee Industrial Electronics Society, [s.l.], p.6879-6886. IEEE. http://dx.doi.org/10.1109/iecon.2016.7793638

Gottems, Leonardo (2018). Agrolink. Startups modernizam agricultura brasileira. Disponível em: https://www.agrolink.com.br/noticias/startups-modernizam-agricultura-brasileira_409044.html

Fernandez, Benjamin; Herrera, Pedro Javier; Cerrada, Jose Antonio.(2018). Robust digital control for autonomous skid-steered agricultural robots. Computers And Electronics In Agriculture, [s.l.], v. 153, p.94-101. http://dx.doi.org/10.1016/j.compag.2018.07.038

Finistere (org.). Agtech Investment Review. Estados Unidos, 2017.

Finistere (org.). Agtech Investment Review. Estados Unidos, 2018.

Huang, Y., Chen, Z. X., Tao, Y. U., Huang, X. Z., & Gu, X. F. (2018). Agricultural remote sensing big data: Management and applications. Journal of Integrative Agriculture, 17(9), 1915-1931. http://dx.doi.org/10.1016/s2095-3119(17)61859-8

Ingram, J. (2018). Agricultural transition: Niche and regime knowledge systems’ boundary dynamics. Environmental innovation and societal transitions, 26, 117-135. https://doi.org/10.1016/j.eist.2017.05.001

Jackson, D. J. (2011). What is an innovation ecosystem. National Science Foundation, 1.

Jardim, Francisco. (2018). Agfunder Network Partners. Brazil Agtech Market Map: 338 Startups Innovating in Agricultural Powerhouse. Disponível em: https://agfundernews.com/brazil-agtech-market-map-338-startups-innovating-in-agricultural-powerhouse.html/

Jóźwiaka, Á., M. Milkovics, Z. Lakne. (2016). A network-science support system for food chain safety: a case from hungarian cattle production. Int. Food Agribusiness Manage. Rev. Special Issue, 19(A)

Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture, 143, 23-37. https://doi.org/10.1016/j.compag.2017.09.037

Francesc, 2017. A review on the practice of big data analysis in agriculture. Computers And Electronics In Agriculture, [s.l.], v. 143, p.23-37, http://dx.doi.org/10.1016/j.compag.2017.09.037.

Kruize, J. W., Wolfert, J., Scholten, H., Verdouw, C. N., Kassahun, A., & BEULENS, A. J. (2016). A reference architecture for Farm Software Ecosystems. Computers and Electronics in Agriculture, 125, 12-28. http://dx.doi.org/10.1016/j.compag.2016.04.011

Lemos, C., Antonio, S., & Cario, F. (2016). University – industry interaction in Santa Catarina : evolutionary phases , forms of interaction , benefits , and barriers. RAI Revista de Administração E Inovação. http://doi.org/10.1016/j.rai.2016.12.001

Li, X., S. Chen, L. Guo.(2014). Technological innovation of agricultural information service in the age of Big Data. J. Agric. Sci. Technol., 16,pp. 10-15.

Lokers, R., Knapen, R., Janssen, S., van Randen, Y., & Jansen, J. (2016). Analysis of Big Data technologies for use in agro-environmental science. Environmental Modelling & Software, 84, 494-504.. http://dx.doi.org/10.1016/j.envsoft.2016.07.017

Meynard, J. M., Jeuffroy, M. H., Le Bail, M., Lefèvre, A., Magrini, M. B., & Michon, C. (2017). Designing coupled innovations. for the sustainability transition of agrifood systems. Agricultural Systems, 157, 330-339. https://doi.org/10.1016/j.agsy.2016.08.002

Mirabent, J., Luís, J., García, S., Ribeiro-Soriano, D.E., 2015. University – industry partnerships for the provision of R & D services ☆. Journal of Business Research. doi: https://doi.org/10.1016/j.jbusres.2015.01.023

Negro, S. O., Alkemade, F., & Hekkert, M. P. 2012. Why does renewable energy diffuse so slowly? A review of innovation system problems. Renewable and Sustainable Energy Reviews, 16(6), 3836-3846. https://doi.org/10.1016/j.rser.2012.03.043

Oh, D. S., Phillips, F., Park, S., & Lee, E. 2016. Innovation ecosystems: A critical examination. Technovation, 54, 1-6. https://doi.org/10.1016/j.technovation.2016.02.004

Pigford, Ashlee-ann E.; Hickey, Gordon M.; Klerkx, Laurens. (2018). Beyond agricultural innovation systems? Exploring an agricultural innovation ecosystems approach for niche design and development in sustainability transitions. Agricultural Systems, [s.l.], v. 164, p.116-12. http://dx.doi.org/10.1016/j.agsy.2018.04.007

Pivoto, D., Waquil, P. D., Talamini, E., Finocchio, C. P. S., Dalla Corte, V. F., & de Vargas Mores, G. (2018). Scientific development of smart farming technologies and their application in Brazil. Information processing in agriculture, 5(1), 21-32. http://dx.doi.org/10.1016/j.inpa.2017.12.002

Prost, L., Reau, R., Paravano, L., Cerf, M., & Jeuffroy, M. H. (2018). Designing agricultural systems from invention to implementation: the contribution of agronomy. Lessons from a case study. Agricultural systems, 164, 122-132. http://dx.doi.org/10.1016/j.agsy.2018.04.009

Rajalo, S., & Vadi, M. (2017). University-industry innovation collaboration : Reconceptualization, Technovation, http://doi.org/10.1016/j.technovation.2017.04.003

Russell, M. G., & Smorodinskaya, N. V. 2018. Leveraging complexity for ecosystemic innovation. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.11.024

Schot, J., & Geels, F. W. (2008). Strategic niche management and sustainable innovation journeys: theory, findings, research agenda, and policy. Technology analysis & strategic management, 20(5), 537-554. https://doi.org/10.1080/09537320802292651

Stal, E., Andreassi, T., & Fujino, A. (2016). The role of university incubators in stimulating academic entrepreneurship. RAI Revista de Administração e Inovação, 13(2), 89-98.

Stephens, Emma C.; Jones, Andrew D.; Parsons, David.(2018). Agricultural systems research and global food security in the 21st century: An overview and roadmap for future opportunities. Agricultural Systems, [s.l.], v. 163, p.1-6. http://dx.doi.org/10.1016/j.agsy.2017.01.011

Sun, Z. Zhou, Y. Bu, J. Zhuo, Y. Chen, D. Li. (2013). Research and development for potted flowers automated grading system based on internet of things. Journal of Shenyang Agricultural University, 44, pp. 687-691.

Syngenta Foundation for Sustainable Agriculture, 2016. FarmForce. [Online] Available at: http://www.farmforce.com/

Tong, L., Hong, T., Jinghua, Z. Research on the Big Data-based government decision and public information service model of food safety and nutrition industry. Journal of Food Safety and Quality, 6 (2015), pp. 366-371. https://doi.org/10.1016/j.agsy.2017.01.023

Tripathi, Shivam; Srinivas, V.v.; Nanjundiah, Ravi S.(2006). Downscaling of precipitation for climate change scenarios: A support vector machine approach. Journal Of Hydrology, [s.l.], v. 330, n. 3-4, p.621-640. http://dx.doi.org/10.1016/j.jhydrol.2006.04.030

Tsujimoto, M., Kajikawa, Y., Tomita, J., & Matsumoto, Y. (2017). A review of the ecosystem concept—Towards coherent ecosystem design. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.06.032

Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of Things in agriculture, recent advances and future challenges. Biosystems Engineering, 164, 31-48. http://dx.doi.org/10.1016/j.biosystemseng.2017.09.007

Wonglimpiyarat, J. (2016). The innovation incubator, university business incubator and technology transfer strategy: The case of Thailand. Technology in Society, 46, 18-27. https://doi.org/10.1016/j.techsoc.2016.04.002

Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming–a review. Agricultural Systems, 153, 69-80. http://dx.doi.org/10.1016/j.agsy.2017.01.023