The transformative role of artificial intelligence in modern agriculture

Hina M. Patel

doi:10.37497/rev.artif.intell.educ.v4i00.14

O Papel Transformador da Inteligência Artificial na Agricultura Moderna

Autores

Hina M. Patel Maniben M.P.Shah Mahila Arts College, Kadi https://orcid.org/0000-0003-1919-1292

DOI:

https://doi.org/10.37497/rev.artif.intell.educ.v4i00.14

Palavras-chave:

Inteligência Artificial, Agricultura, Monitoramento de Culturas, Demanda Alimentar, Soluções Preditivas

Resumo

Objetivo: Examinar o impacto e o potencial da Inteligência Artificial (IA) na revolução das práticas agrícolas tradicionais para atender à crescente demanda global por alimentos.

Método: Uma revisão abrangente da integração das tecnologias de IA na agricultura, focando em avanços na cultivação de culturas, monitoramento em tempo real, colheita, processamento e comercialização.

Resultados: A IA emergiu como uma tecnologia fundamental no setor agrícola, abordando desafios como mudanças climáticas, crescimento populacional, preocupações com emprego e segurança alimentar. Sistemas avançados impulsionados pela IA foram desenvolvidos para identificar fatores cruciais, incluindo detecção de ervas daninhas, estimativa de rendimento, avaliação da qualidade das culturas e outros parâmetros. Essas inovações elevaram as práticas agrícolas modernas, garantindo maior produtividade e eficiência.

Conclusões: A IA detém uma promessa significativa na remodelação do futuro da agricultura. Seu potencial, combinado com as capacidades de aprendizado de máquina, apresenta vastas oportunidades para o crescimento do setor. No entanto, a adoção completa e integração de soluções de IA na agricultura ainda são um desafio, com o setor ainda sendo relativamente subatendido em termos de soluções orientadas por IA.

Implicações: A implementação estratégica da IA na agricultura é fundamental para a sustentabilidade futura do setor. Embora alguns avanços sejam evidentes, há uma necessidade premente de soluções preditivas mais adaptadas aos desafios do mundo real enfrentados pelos agricultores. Abraçar a IA não só garantirá uma maior produtividade, mas também a viabilidade de longo prazo do setor agrícola.

Biografia do Autor

Hina M. Patel, Maniben M.P.Shah Mahila Arts College, Kadi

Dr.Hina M.Patel was Born on 3rd November, 1969. She has a Schooling at A.G. Higher Secondary School, Ahmedabad, Graduate in Economics at St.Xavier’s College, Ahmedabad, Master’s Degree in Economics at Gujarat University, School of Social Sciences, M.Phil Degree in Economics at Gujarat University, School of Social Sciences, and Doctorate in Economics at Bhavnagar University Department of Commerce, Bhavnagar with Twenty three years of teaching experience at under Graduation Fifteen years Experience at Post Graduation level. She is working as a Principal at Smt. M.M.Shah Mahila Arts College, Kadi. She is also interested in International Economics, Micro Economics, Management and Planning, Administration, Guidance and Counseling and Research Methodology.

Referências

Allen, Daniel T. (Nov 8, 2019). Farmers are using artificial intelligence to help monitor cows. Business Insider. Retrieved from https://www.businessinsider.com/farmers-artificial-intelligence-in-agriculture-catch-disease-pests

Bisen, V. S. (Jun 28, 2019). How AI can help in agriculture: Five applications and use cases. Medium. Retrieved from https://medium.com/vsinghbisen/how-ai-can-help-in-agriculture-five-applications-and-use-cases-f09c3dc326c9

Marr, B. (2019, July 5). How AI is transforming agriculture. Forbes. Retrieved from https://www.forbes.com/sites/cognitiveworld/2019/07/05/how-ai-is-transforming-agriculture/#6e7a0f704ad1

Yang, M., Kumar, P., Bhola, J., & Shabaz, M. (2021). Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit. International Journal of System Assurance Engineering and Management, 13. DOI: https://doi.org/10.1007/s13198-021-01415-1

Business World IT. (2019). Applications of Artificial Intelligence in Computer Science. Retrieved from https://www.businessworldit.com/ai/applications-of-artificial-intelligence/

Ballard, R. (1996). Methods of inventory monitoring and measurement. Logistics Information Management, 9(3), 11-18. DOI: https://doi.org/10.1108/09576059610116653

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Publicado

2023-08-18

Como Citar

Patel, H. M. (2023). O Papel Transformador da Inteligência Artificial na Agricultura Moderna. Review of Artificial Intelligence in Education, 4(00), e14. https://doi.org/10.37497/rev.artif.intell.educ.v4i00.14

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Edição

v. 4 (2023): Jan./Dec. (Continuous Publication)

Seção

Perspectives (ARTIFICIAL INTELLIGENCE)

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