Agriculture 4.0: a terminological introduction

Daniel Albiero, Rodrigo Leme de Paulo, José Carlos Félix Junior, Jenyffer da Silva Gomes Santos, Rafaela Paula Melo

Resumo


This paper presents a terminological delimitation of Agriculture 4.0 by analyzing relevant articles on the state of the art in this field. The fundamentals of Agriculture 4.0, which include the application of the Internet of Things, big data, artificial intelligence, cloud computing, and connectivity, is presented. In conclusion, it can be stated that Agriculture 4.0 is an inevitable and irreversible trend in modern agriculture.

Palavras-chave


Digital Agriculture; Smart Farming; Terminology

Texto completo:

PDF

Referências


ALBIERO, D. Sustentabilidade, agroecossistemas e energia - Jornal Dia de Campo. Disponível em: . Acesso em: 13 jul. 2018.

ALBIERO, D. Agricultural Robotics: A Promising Challenge. Current Agriculture Research Journal, v. 7, n. 1, p. 1-3, 28 abr. 2019.

ANNOSI, M. C. et al. Is the trend your friend? An analysis of technology 4.0 investment decisions in agricultural SMEs. Computers in Industry, v. 109, p. 59-71, 2019.

ARMBRUST, M. et al. A view of cloud computingCommunications of the ACM, 1 abr. 2010. . Disponível em: . Acesso em: 4 nov. 2020.

BELAUD, J. P. et al. Big data for agri-food 4.0: Application to sustainability management for by-products supply chain. Computers in Industry, v. 111, p. 41-50, 2019.

BRAUN, A. T.; COLANGELO, E.; STECKEL, T. Farming in the Era of Industrie 4.0. Procedia CIRP, v. 72, p. 979-984, 2018.

BRAZIL-MDIC. Brazilian Roadmap for Industry 4.0. [s.l: s.n.]. Disponível em: .

BRONSON, K. Looking through a responsible innovation lens at uneven engagements with digital farming. NJAS - Wageningen Journal of Life Sciences, v. 90-91, n. October 2018, p. 100294, 2019.

CEVALLOS, V.; VALENCIA, T.; ROMERO, C. Volumen 12 | Número 4 | Julio-Agosto. Universidad y Sociedad, v. 12, n. 4, p. 192-200, 17 jul. 2020.

COBLE, K. H. et al. Big data in agriculture: A challenge for the future. Applied Economic Perspectives and Policy, v. 40, n. 1, p. 79-96, 1 mar. 2018.

COOPER, C. The IoT, Cloud and Security. Disponível em: . Acesso em: 4 nov. 2020.

DAGAR, R.; SOM, S.; KHATRI, S. K. Smart Farming - IoT in Agriculture. In: Proceedings of the International Conference on Inventive Research in Computing Applications, ICIRCA 2018, Anais...Institute of Electrical and Electronics Engineers Inc., 31 dez. 2018.

EASTWOOD, C. et al. Making sense in the cloud: Farm advisory services in a smart farming future. NJAS - Wageningen Journal of Life Sciences, v. 90-91, n. December 2018, p. 100298, 2019.

ELSEVIER. ScienceDirect.com. Disponível em: . Acesso em: 15 out. 2020.

FERNANDES, F. T.; CHIAVEGATTO FILHO, A. D. P. Perspectivas do uso de mineração de dados e aprendizado de máquina em saúde e segurança no trabalho. Revista Brasileira de Saúde Ocupacional, v. 44, 2019.

FIELKE, S.; TAYLOR, B.; JAKKU, E. Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review. Agricultural Systems, v. 180, n. November 2019, p. 102763, 2020.

GRIEVE, B. D. et al. The challenges posed by global broadacre crops in delivering smart agri-robotic solutions: A fundamental rethink is required. Global Food Security, v. 23, n. February, p. 116-124, 2019.

HEIDEKER, A.; KAMIENSKI, C. A. Funções de Rede Virtualizadas em Plataforma de Computação em Nuvem para Cidades Inteligentes. Disponível em: . Acesso em: 4 nov. 2020.

JAKKU, E. et al. “If they don’t tell us what they do with it, why would we trust them?” Trust, transparency and benefit-sharing in Smart Farming. NJAS - Wageningen Journal of Life Sciences, v. 90-91, n. December 2018, p. 100-285, 2019.

KAGERMANN, H.; WAHLSTER, W.; HELBID, J. Recommendations for implementing the strategic initiative INDUSTRIE 4.0. [s.l: s.n.]. Disponível em: . Acesso em: 15 out. 2020.

KAPLAN, A.; HAENLEIN, M. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligenceBusiness HorizonsElsevier Ltd, , 1 jan. 2019.

KLERKX, L.; JAKKU, E.; LABARTHE, P. 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, v. 90-91, n. November, p. 100315, 2019. D.

KLERKX, L.; ROSE, D. 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, v. 24, n. December 2019, p. 100347, 2020.

KNIERIM, A. et al. Smart farming technology innovations - Insights and reflections from the German Smart-AKIS hub. NJAS - Wageningen Journal of Life Sciences, v. 90-91, n. November, p. 100314, 2019. D.

KRASNOV, H. et al. The effect of local and landscape variables on Mediterranean fruit fly dynamics in citrus orchards utilizing the ecoinformatics approach. Journal of Pest Science, v. 92, n. 2, p. 453-463, 15 mar. 2019.

LAJOIE-O’MALLEY, A. et al. The future(s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents. Ecosystem Services, v. 45, n. September, p. 101183, 2020.

LEZOCHE, M. et al. Agri-food 4.0: A survey of the Supply Chains and Technologies for the Future Agriculture. Computers in Industry, v. 117, p. 103187, 2020.

LI, C.; NIU, B. Design of smart agriculture based on big data and Internet of things. International Journal of Distributed Sensor Networks, v. 16, n. 5, p. 155014772091706, 13 maio 2020.

LIOUTAS, E. D.; CHARATSARI, C. Smart farming and short food supply chains: Are they compatible? Land Use Policy, v. 94, n. November 2019, p. 104541, 2020a.

LIOUTAS, E. D.; CHARATSARI, C. Big data in agriculture: Does the new oil lead to sustainability? Geoforum, v. 109, n. December 2019, p. 1-3, 2020b.

LYTOS, A. et al. Towards smart farming: Systems, frameworks and exploitation of multiple sources. Computer Networks, v. 172, n. February, p. 107147, 2020.

MAHESWARI, R. et al. Smart Village: Solar Based Smart Agriculture with IoT Enabled for Climatic Change and Fertilization of Soil. In: 2019 IEEE 5th International Conference on Mechatronics System and Robots, ICMSR 2019, Anais...Institute of Electrical and Electronics Engineers Inc., 1 maio 2019.

MIRANDA, J. et al. Sensing, smart and sustainable technologies for Agri-Food 4.0. Computers in Industry, v. 108, p. 21-36, 2019.

PIVOTO, D. et al. Scientific development of smart farming technologies and their application in Brazil. Information Processing in Agriculture, v. 5, n. 1, p. 21-32, 2018.

POSADAS, B. B.; GILBERT, J. E. Regulating Big Data in Agriculture. IEEE Technology and Society Magazine, v. 39, n. 3, p. 86-92, 1 set. 2020.

RAUTENBERG, S.; CARMO, P. R. V. do. Big data e ciência de dados. Brazilian Journal of Information Science, v. 13, n. 1, p. 56-67, 29 mar. 2019. D.

ROSE, D. C. et al. Agriculture 4.0: Making it work for people, production, and the planet. Land Use Policy, v. 100, n. May 2020, p. 104933, 2021.

ROTZ, S. et al. Automated pastures and the digital divide: How agricultural technologies are shaping labour and rural communities. Journal of Rural Studies, v. 68, n. January, p. 112-122, 2019.

RUSCHEL, H.; ZANOTTO, M. S.; COSTA DA MOTA, W. Computação em Nuvem. [s.l: s.n.].

SAETTA, S.; CALDARELLI, V. How to increase the sustainability of the agri-food supply chain through innovations in 4.0 perspective: A first case study analysis. Procedia Manufacturing, v. 42, n. 2019, p. 333-336, 2020.

SCIELO. SciELO.org. Disponível em: . Acesso em: 16 out. 2020.

SHENA, S.; BASIST, A.; HOWARD, A. Structure of a digital agriculture system and agricultural risks due to climate changes. Agriculture and Agricultural Science Procedia, v. 1, p. 42-51, 2010.

TALAVIYA, T. et al. Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides. Artificial Intelligence in Agriculture, v. 4, p. 58-73, 1 jan. 2020.

TORKY, M.; HASSANEIN, A. E. Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges. Computers and Electronics in Agriculture, n. April, p. 105476, 2020.

YOON, C.; LIM, D.; PARK, C. Factors affecting adoption of smart farms: The case of Korea. Computers in Human Behavior, v. 108, n. May 2019, p. 106309, 2020..

ZHAI, Z. et al. Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, v. 170, n. August 2019, p. 105256, 2020.




Revista Ciência Agronômica ISSN 1806-6690 (online) 0045-6888 (impresso), Site: www.ccarevista.ufc.br, e-mail: ccarev@ufc.br - Fone: (85) 3366.9702 - Expediente: 2ª a 6ª feira - de 7 às 17h.