Developing Next Generation Agronomic System: A study in Soil Sciences
Abstract
Efficient land uses are critical to many countries. The objective of this work is to model a Next Generation Agronomic System (NGAS) to Soil Sciences. We present and evaluate a service called OpenSoils Edu which is part of a NGAS focused on pedological data management. The application is capable of mapping large amounts of soil data and can be used by many types of users to view and share curated soils datasets.References
Antle J.M., Jones J.W., and Rosenzweig C.E. 2017a. Next generation agricultural system data, models and knowledge products: Introduction. Agricultural Systems.; 155:186- 190.
Antle J.M., Jones J.W., and Rosenzweig C.E. 2017b. Next generation agricultural system models and knowledge products: Synthesis and strategy. Agricultural Systems.; 155:179-185.
Athanasiadis, I. N. 2015. Challenges in modelling of environmental semantics, In: Environmental Software Systems: Infrastructures, Services and Applications (ISESS 2015), IFIP Advances in Information and Communication Technology, vol. 448, pg. 19–25.
Bambini, M.D., Bonacelli, M. B. M., Hiha, R. H. 2018. Pesquisa Agropecuária No Contexto Da E-Science: Monitoramento de Temas e Plataformas de Data Science. 56 Congresso SOBER, Campinas, SP. 20pp.
Cruz, S. M. S et al. 2018a. Towards an e-infrastructure for Open Science in Soils Security. In: Brazilian E-Science Workshop (BRESCI), Natal. Anais do XII Brazilian e-Science Workshop. Porto Alegre: Sociedade Brasileira de Computação.
Cruz, S. M. S et al. 2018b. OpenSoils: e-Science em Segurança de Solos II. Encuentro Latinoamericano de e-Ciencia (TICAL), Cartagena da Índias. Anais da Octava Conferencia de Directores de Tecnología de Información y Comunicación en Instituciones de Educación Superior, y II Encuentro Latinoamericano de e-Ciencia
Cruz, S.M. S, Cruz, P. V., Vieira, A. C. V. 2018. Vision Paper: Challenges and Opportunities of Social Computing in Urban Agriculture in Global North and South Countries. Proceedings the of I Workshop on Big Social Data and Urban Computing co-located (BiDU) at VLDB 2018.
Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of lnformation Technology, MIS Q., vol. 13, no. 3, pp. 319–340.
Flores, C. A., Alba, J. M. F. 2014. A Pedologia e a Agricultura de Precisão. Embrapa Instrumentação, Capítulo em livro científico.
Hey, T., Tansley, S., Tolle, K. M. 2009. The fourth paradigm: data-intensive scientific discovery. Redmond, WA: Microsoft Research, 252p.
Holzworth D.P., Snow V.O., Janssen S., Athanasiadis I.N., Donatelli M., Hoogenboom G., White J.W. and Thorburn P.J. 2015. Agricultural production systems modelling and software: current status and future prospects. Environ. Model. Softw. No. 72, pp. 276–286.
Inamasu, R. Y., Bernardi, C. A. C. 2014. Agricultura de Precisão. Embrapa Instrumentação, Capítulo em livro científico.
Janssen. S. J. C. et al. 2017. Towards a new generation of agricultural system models, data, and knowledge products: building an open web-based approach to agricultural data. Agricultural Systems. Vol. 155, pp. 269-288.
Koch A. et al., 2013. “Soil Security: Solving the Global Soil Crisis, Glob. Policy, vol. 4, no. 4, pp. 434–441.
Kruize, J.W., Wolfert, J., Scholten, H., Verdouw, C.N., Kassahun, A., and Beulens, A.J., 2016. A reference architecture for Farm Software Ecosystems. Computers and Electronics in Agriculture, 125, pp.12-28.
McBratney, A. Field, D. J., and Koch, A. 2014. The dimensions of soil security, Geoderma, vol. 213, pp. 203–213.
Marin, F.R., Pilau, F.G., Spolador, H.F., and Otto, R., Pedreira, C.G., 2016. Intensificação sustentável da agricultura brasileira: cenários para 2050. Revista de Política Agrícola, 25(3), pp.108-124.
Massruhá, S.M.F.S., Leite, M.D.A., and Moura, M.F. 2014. Os novos desafios e oportunidades das tecnologias da informação e da comunicação na agricultura (AgroTIC).
Pierpaoli, E., Carli, G., Pignati, E., Canavari, M. 2013. Drivers of Precision Agriculture Technologies Adoption: A Literature Review. Procedia Technology, vol. 8, pp. 61-69.
SiBCS. 2019. [Online]. https://www.embrapa.br/solos/sibcs
Wolfert, S., Ge, L. Verdouw, C., and Bogaardt, M. J. 2017. Big Data in Smart Farming – A review, Agric. Syst., vol. 153, pp. 69–80.
Yawson, D., Adu, M. Ason, B., Armah, F. and G. Yengoh. 2016. Putting Soil Security on the Policy Agenda: Need for a Familiar Framework, Challenges, vol. 7, no. 2, pp. 15.
Antle J.M., Jones J.W., and Rosenzweig C.E. 2017b. Next generation agricultural system models and knowledge products: Synthesis and strategy. Agricultural Systems.; 155:179-185.
Athanasiadis, I. N. 2015. Challenges in modelling of environmental semantics, In: Environmental Software Systems: Infrastructures, Services and Applications (ISESS 2015), IFIP Advances in Information and Communication Technology, vol. 448, pg. 19–25.
Bambini, M.D., Bonacelli, M. B. M., Hiha, R. H. 2018. Pesquisa Agropecuária No Contexto Da E-Science: Monitoramento de Temas e Plataformas de Data Science. 56 Congresso SOBER, Campinas, SP. 20pp.
Cruz, S. M. S et al. 2018a. Towards an e-infrastructure for Open Science in Soils Security. In: Brazilian E-Science Workshop (BRESCI), Natal. Anais do XII Brazilian e-Science Workshop. Porto Alegre: Sociedade Brasileira de Computação.
Cruz, S. M. S et al. 2018b. OpenSoils: e-Science em Segurança de Solos II. Encuentro Latinoamericano de e-Ciencia (TICAL), Cartagena da Índias. Anais da Octava Conferencia de Directores de Tecnología de Información y Comunicación en Instituciones de Educación Superior, y II Encuentro Latinoamericano de e-Ciencia
Cruz, S.M. S, Cruz, P. V., Vieira, A. C. V. 2018. Vision Paper: Challenges and Opportunities of Social Computing in Urban Agriculture in Global North and South Countries. Proceedings the of I Workshop on Big Social Data and Urban Computing co-located (BiDU) at VLDB 2018.
Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of lnformation Technology, MIS Q., vol. 13, no. 3, pp. 319–340.
Flores, C. A., Alba, J. M. F. 2014. A Pedologia e a Agricultura de Precisão. Embrapa Instrumentação, Capítulo em livro científico.
Hey, T., Tansley, S., Tolle, K. M. 2009. The fourth paradigm: data-intensive scientific discovery. Redmond, WA: Microsoft Research, 252p.
Holzworth D.P., Snow V.O., Janssen S., Athanasiadis I.N., Donatelli M., Hoogenboom G., White J.W. and Thorburn P.J. 2015. Agricultural production systems modelling and software: current status and future prospects. Environ. Model. Softw. No. 72, pp. 276–286.
Inamasu, R. Y., Bernardi, C. A. C. 2014. Agricultura de Precisão. Embrapa Instrumentação, Capítulo em livro científico.
Janssen. S. J. C. et al. 2017. Towards a new generation of agricultural system models, data, and knowledge products: building an open web-based approach to agricultural data. Agricultural Systems. Vol. 155, pp. 269-288.
Koch A. et al., 2013. “Soil Security: Solving the Global Soil Crisis, Glob. Policy, vol. 4, no. 4, pp. 434–441.
Kruize, J.W., Wolfert, J., Scholten, H., Verdouw, C.N., Kassahun, A., and Beulens, A.J., 2016. A reference architecture for Farm Software Ecosystems. Computers and Electronics in Agriculture, 125, pp.12-28.
McBratney, A. Field, D. J., and Koch, A. 2014. The dimensions of soil security, Geoderma, vol. 213, pp. 203–213.
Marin, F.R., Pilau, F.G., Spolador, H.F., and Otto, R., Pedreira, C.G., 2016. Intensificação sustentável da agricultura brasileira: cenários para 2050. Revista de Política Agrícola, 25(3), pp.108-124.
Massruhá, S.M.F.S., Leite, M.D.A., and Moura, M.F. 2014. Os novos desafios e oportunidades das tecnologias da informação e da comunicação na agricultura (AgroTIC).
Pierpaoli, E., Carli, G., Pignati, E., Canavari, M. 2013. Drivers of Precision Agriculture Technologies Adoption: A Literature Review. Procedia Technology, vol. 8, pp. 61-69.
SiBCS. 2019. [Online]. https://www.embrapa.br/solos/sibcs
Wolfert, S., Ge, L. Verdouw, C., and Bogaardt, M. J. 2017. Big Data in Smart Farming – A review, Agric. Syst., vol. 153, pp. 69–80.
Yawson, D., Adu, M. Ason, B., Armah, F. and G. Yengoh. 2016. Putting Soil Security on the Policy Agenda: Need for a Familiar Framework, Challenges, vol. 7, no. 2, pp. 15.
Published
2019-07-04
How to Cite
CRUZ, Sergio ; KLINGER, Filipe ; CRUZ, Pedro; VIEIRA, Ana; SCHMITZ, Eber; MARINHO, Elton.
Developing Next Generation Agronomic System: A study in Soil Sciences . In: WORKSHOP ON COMPUTING APPLIED TO THE MANAGEMENT OF THE ENVIRONMENT AND NATURAL RESOURCES (WCAMA), 10. , 2019, Belém.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 135-144.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2019.6428.
