Dezembro 2024 vol. 11 num. 2 - X Simpósio Internacional de Inovação e Tecnologia
Completo - Open Access.
BIBLIOMETRIC ANALYSIS ON THE ADVANCEMENT OF WEED CONTROL METHODS
BIBLIOMETRIC ANALYSIS ON THE ADVANCEMENT OF WEED CONTROL METHODS
Santana, Rafael Pereira de ; Souza, Lucas Rocha ; Figliuolo, Saulo Queiroz ; Beal, Valter Estevão ;
Completo:
"Weed control methods are essential for agriculture and the management of natural and cultivated areas, with a vast amount of literature available on this topic. Consequently, the use of scientometric tools can offer valuable insights to portray and analyze research gaps and trends, contributing to the updating of scientific datasets and the advancement of knowledge in this specific area. In this context, this work conducts a bibliometric review focused on weed control methods. The Web of Science and Scopus databases were used to select relevant documents, while the Bibliometrix software was employed to conduct the bibliometric investigation. The results of this study aim to highlight the most prominent research areas."
Completo:
"Weed control methods are essential for agriculture and the management of natural and cultivated areas, with a vast amount of literature available on this topic. Consequently, the use of scientometric tools can offer valuable insights to portray and analyze research gaps and trends, contributing to the updating of scientific datasets and the advancement of knowledge in this specific area. In this context, this work conducts a bibliometric review focused on weed control methods. The Web of Science and Scopus databases were used to select relevant documents, while the Bibliometrix software was employed to conduct the bibliometric investigation. The results of this study aim to highlight the most prominent research areas."
Palavras-chave: Weed control, Weeds, Sustainable agriculture,
Palavras-chave: Weed control, Weeds, Sustainable agriculture,
DOI: 10.5151/siintec2024-393123
Referências bibliográficas
- [1] 1 SHARMA, G.; SHRESTHA, S.; KUNWAR,S.; TSENG, T. Crop Diversification for
- [2] Improved Weed Management: A Review. Agriculture, v. 11, n. 5, p. 461, 19 maio
- [3] 2021.
- [4] 2 WU, X.; LI, Y.; ARAVECCHIA, S.; LOTTES, P.; STACHNISS, C.; PRADALIER, C.;
- [5] Robotic weed control using automated weed and crop classification. Journal of
- [6] Field Robotics, v. 37, n. 2, p. 322–340, 6 fev. 2020.
- [7] 3OLIVEIRA, M. F. de; BRIGHENTI, A. M. (ed.). Controle de plantas daninhas:
- [8] métodos físico, mecânico, cultural, biológico e alelopatia. Brasília, DF: Embrapa,
- [9] 2018.
- [10] 4JHA, K. DOSHI, A.; PATEL, P.; SHAH, M. A comprehensive review on automation in
- [11] agriculture using artificial intelligence. Artificial Intelligence in Agriculture, v. 2, n. 2,
- [12] p. 1–12, jun. 2019.
- [13] 5WANG, A.; ZHANG, W.; WEI, X. A review on weed detection using ground-based
- [14] machine vision and image processing techniques. Computers and Electronics in
- [15] Agriculture, v. 158, p. 226–240, mar. 2019.
- [16] 6NEVAVUORI, P.; NARRA, N.; LIPPING, T. Crop yield prediction with deep
- [17] convolutional neural networks. Computers and Electronics in Agriculture, v. 163, p.
- [18] 104859, ago. 2019.
- [19] 7 PARTEL, V.; CHARAN KAKARLA, S.; AMPATZIDIS, Y. Development and evaluation
- [20] of a low-cost and smart technology for precision weed management utilizing artificial
- [21] intelligence. Computers and Electronics in Agriculture, v. 157, p. 339–350, fev.
- [22] 2019.
- [23] 8SHARMA, A.; CHOWDARY, V.; JAIN, A.; GUPTA, P.; Machine Learning Applications
- [24] for Precision Agriculture: A Comprehensive Review. IEEE Access, v. 9, p. 4843–4873,
- [25] 2021.
Como citar:
Santana, Rafael Pereira de; Souza, Lucas Rocha; Figliuolo, Saulo Queiroz; Beal, Valter Estevão; "BIBLIOMETRIC ANALYSIS ON THE ADVANCEMENT OF WEED CONTROL METHODS", p. 841-848 . In: .
São Paulo: Blucher,
2024.
ISSN 2357-7592,
DOI 10.5151/siintec2024-393123
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