Precision Agriculture under a bibliometric view




smart agriculture, scientific mapping, bibliometrics, systematic review, indicators


Precision Agriculture comprises techniques to monitor and control the differentiated application of agricultural inputs, considering the variability of cultivation areas over time to increase productivity and maintain environmental sustainability. Its current form considers the use of high-tech equipment to ensure food safety in the future and, therefore, constantly seeks research that produces innovations for the sector. However, there is a tremendous challenge in evaluating scientific development, given the large volume of information. This study aimed to carry out a scientific mapping of Precision Agriculture from a set of bibliometric techniques supported using the R bibliometrix tool. Based on this objective, the research questions were formulated and answered throughout qualitative quantitative and descriptive exploratory study. The data processing resulted 5,807 articles (13,705 authors) obtained from 1993 to 2020. Among the main results, there is constant growth in the number of publications, especially between 2016 and 2020; more significant concentration among countries, forming well-defined collaboration subnetworks through their institutions; presence of expressive central themes in the research with a high density of studies, such as the use of remote sensing combined with machine learning techniques, due to the growing trend in the amount of processed data.


Download data is not yet available.

Author Biographies

Wanderson de Vasconcelos Rodrigues da Silva, Instituto Federal do Piauí

Post-graduation Program in Intellectual Property Science

Renata Silva-Mann, Universidade Federal de Sergipe

Post-graduation Program in Intellectual Property Science


Alkhateeb, F. (2010). BibTeX document generating using semantic web technologies. Proceedings of the 1st International Conference on Intelligent Semantic Web-Services and Applications - ISWSA ’10, 1–6. DOI:

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. DOI:

Bassoi, L. H., Inamasu, R. Y., Bernardi, A. C. de C., Vaz, C. M. P., Speranza, E. A., & Cruvinel, P. E. (2020). Agricultura de precisão e agricultura digital. TECCOGS: Revista Digital de Tecnologias Cognitivas, 20, 17–36. DOI:

Bradford, C. S. (1934). Sources of information on specific subjects. Engineering, 137, 85–86. DOI:

Brereton, P., Kitchenham, B. A., Budgen, D., Turner, M., & Khalil, M. (2007). Lessons from applying the systematic literature review process within the software engineering domain. Journal of Systems and Software, 80(4), 571–583. DOI:

Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry. Scientometrics, 22(1), 155–205. DOI:

Cassettari, R. R. B., Pinto, A.-L., Rodrigues, R. S., & Santos, L. S. dos. (2015). Comparação da Lei de Zipf em conteúdos textuais e discursos orais. El Profesional de la Información, 24(2), 157. DOI:

Cisternas, I., Velásquez, I., Caro, A., & Rodríguez, A. (2020). Systematic literature review of implementations of precision agriculture. Computers and Electronics in Agriculture, 176(July), 105626. DOI:

Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146–166. DOI:

Coelho, J. P. C., & Silva, J. R. M. (2009). Agricultura de Precisão. Associação dos Jovens Agricultores de Portugal.

Dervis, H. (2019). Bibliometric Analysis using Bibliometrix an R Package. Journal of Scientometric Research, 8(3), 156–160. DOI:

Diodato, V. P., & Gellatly, P. (2013). Dictionary of Bibliometrics. Routledge. DOI:

Esfahani, H. J., Tavasoli, K., & Jabbarzadeh, A. (2019). Big data and social media: A scientometrics analysis. International Journal of Data and Network Science, 3(3), 145–164. DOI:

Garfield, E. (2004). Historiographic Mapping of Knowledge Domains Literature. Journal of Information Science, 30(2), 119–145. DOI:

Grácio, M. C. C. (2016). Acoplamento bibliográfico e análise de cocitação: revisão teórico-conceitual. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, 21(47), 82. DOI:

Haboudane, D., Miller, J. R., Elizabeth, P., Zarco-Tejada, P. J., & Strachan, I. B. (2004). Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 90(3), 337–352. DOI:

Haboudane, D., Miller, J. R., Tremblay, N., Zarco-Tejada, P. J., & Dextraze, L. (2002). Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment, 81(2–3), 416–426. DOI:

Han, S., Goering, C. E., Cahn, M. D., & Hummel, J. W. (1993). A Robust Method for Estimating Soil Properties in Unsampled Cells. Transactions of the ASAE, 36(5), 1363–1368. DOI:

International Society for Precision Agriculture. (2021). Precision Ag Definition. ISPA.

Kent Shannon, D., Clay, D. E., & Sudduth, K. A. (2018). An Introduction to Precision Agriculture (p. 1–12). DOI:

Lotka, A. J. (1926). The freq distrib of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323. DOI:

Molin, J. P., Amaral, L. R., & Colaço, A. F. (2015). Agricultura de Precisão (1o ed). Oficina de Textos.

Peters, H. P. F., & Van Raan, A. F. J. (1991). Structuring scientific activities by co-author analysis. Scientometrics, 20(1), 235–255. DOI:

Pinheiro, L. V. R. (1983). Lei de Bradford: uma reformulação conceitual. Ciência da Informação, 12(2), 59–80.

Potter, W. G. (1981). Lotka´s law revisited. Library Trends, 30(1), 21–39.

Prado, H. (2018). Precisão na agricultura. Revista Fonte: Tecnologia da Informação na Gestão Pública, 15(20), 48–46.

Precision Agriculture in the 21st Century. (1997). Precision Agriculture in the 21st Century. National Academies Press. DOI:

Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348. DOI:

Rodríguez-Soler, R., Uribe-Toril, J., & De Pablo Valenciano, J. (2020). Worldwide trends in the scientific production on rural depopulation, a bibliometric analysis using bibliometrix R-tool. Land Use Policy, 97, 104787. DOI:

Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. DOI:

Urbizagástegui Alvarado, R. (2002). A Lei de Lotka na bibliometria brasileira. Ciência da Informação, 31(2), 14–20. DOI:

Urbizagástegui Alvarado, R. (2008). A produtividade dos autores sobre a Lei de Lotka. Ciência da Informação, 37(2), 87–102. DOI:

Viscarra Rossel, R. A., Walvoort, D. J. J., McBratney, A. B., Janik, L. J., & Skjemstad, J. O. (2006). Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma, 131(1–2), 59–75. DOI:

White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32(3), 163–171. DOI:

Xie, S., Zhang, J., & Ho, Y.-S. (2008). Assessment of world aerosol research trends by bibliometric analysis. Scientometrics, 77(1), 113–130. DOI:

Zhang, J., Yu, Q., Zheng, F., Long, C., Lu, Z., & Duan, Z. (2016). Comparing keywords plus of WOS and author keywords: A case study of patient adherence research. Journal of the Association for Information Science and Technology, 67(4), 967–972. DOI:

Zipf, G.-K. (1949). Human behavior and the principle of least effort. Addison-Wesley.




How to Cite

Silva, W. de V. R. da, & Silva-Mann, R. (2021). Precision Agriculture under a bibliometric view. International Journal for Innovation Education and Research, 9(11), 422–442.