Coffee Growing with Remotely Piloted Aircraft System: Bibliometric Review
-
Published:2023-12-15
Issue:4
Volume:5
Page:2458-2477
-
ISSN:2624-7402
-
Container-title:AgriEngineering
-
language:en
-
Short-container-title:AgriEngineering
Author:
Bento Nicole Lopes1ORCID, Ferraz Gabriel Araújo e Silva1ORCID, Santana Lucas Santos2ORCID, Silva Mirian de Lourdes Oliveira e1
Affiliation:
1. Department of Agricultural Engineering, School of Engineering, Federal University of Lavras—UFLA, Trevo Rotatório Professor Edmir Sá Santos s/n, P.O. Box 3037, Lavras 37200-900, Brazil 2. Department of Agricultural and Environmental Engineering (EEA), Institute of Agricultural Sciences (ICA), Federal University of Vales Jequitinhonha and Mucuri—Campus Unaí, Avenida Universitária, nº 1.000, B. Universitários, Unai 38610-000, Brazil
Abstract
Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades primarily due to their versatility of application in various sectors of the economy. In the agricultural sector, they stand out for optimizing processes, contributing to improved sampling, measurements, and operational efficiency, ultimately leading to increased profitability in crop production. This technology is becoming a reality in coffee farming, an essential commodity in the global economic balance, mainly due to academic attention and applicability. This study presents a bibliometric analysis focused on using RPASs in coffee farming to structure the existing academic literature and reveal trends and insights into the research topic. For this purpose, searches were conducted over the last 20 years (2002 to 2022) in the Web of Science and Scopus scientific databases. Subsequently, bibliometric analysis was applied using Biblioshiny for Bibliometrix software in R (version 2022.07.1), with emphasis on the temporal evolution of research on the topic, performance analysis highlighting key publications, journals, researchers, institutions, countries, and the scientific mapping of co-authorship, keywords, and future trends/possibilities. The results revealed 42 publications on the topic, with the pioneering studies being the most cited. Brazilian researchers and institutions (Federal University of Lavras) have a strong presence in publications on the subject and in journals focusing on technological applications. As future trends and possibilities, the employment of technology optimizes the productivity and profitability studies of coffee farming for the timely and efficient application of aerial imaging.
Funder
Embrapa Café–Consórcio Pesquisa Café National Council for Scientific and Technological Development Minas Gerais Research Funding Foundation Coordination for the Improvement of Higher Education Personnel Federal University of Lavras
Subject
Engineering (miscellaneous),Horticulture,Food Science,Agronomy and Crop Science
Reference72 articles.
1. ICO (2023). Coffee Market Report. 2. Companhia Nacional de Abastecimento—(CONAB) (2023). “Acompanhamento da Safra Brasileira—CAFÉ”. Obs. Agrícola, 1, 1–60. 3. Mesquita, C., de Melo, E.M., de Rezende, J.E., Carvalho, J.S., Júnior, M.A.F., Moraes, N.C., Dias, P.T., Dias, P.T., de Carvalho, R.M., and de Araújo, W.G. (2016). MANUAL DO CAFÉ: Implantação de Cafezais, EMATER-MG. Available online: http://www.sapc.embrapa.br/arquivos/consorcio/publicacoes_tecnicas/livro_implantacao_cafezais.pdf. 4. A survey on the 5G network and its impact on agriculture: Challenges and opportunities;Tang;Comput. Electron. Agric.,2021 5. Estimating Oil and Protein Content of Sesame Seeds Using Image Processing and Artificial Neural Network;Parsaeian;J. Am. Oil Chem. Soc.,2020
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|