Global trends in apps for agriculture

Authors

  • Julierme Zimmer Barbosa Federal Institute of Southeast Minas Gerais, Rua Monsenhor José Augusto, nº 204, Bairro São José, Barbacena, MG 36205-018, Brazil. http://orcid.org/0000-0002-1784-4985
  • Stephen A. Prior USDA-ARS National Soil Dynamics Laboratory, 411 S, Donahue Drive, Auburn, AL 36832, USA. http://orcid.org/0000-0003-1750-6326
  • Guilherme Quaresma Pedreira Federal University of Paraná (UFPR), Rua dos Funcionários, nº 1540, Curitiba, PR 80035-050, Brazil. http://orcid.org/0000-0003-4262-4885
  • Antonio Carlos Vargas Motta Federal University of Paraná (UFPR), Rua dos Funcionários, nº 1540, Curitiba, PR 80035-050, Brazil. http://orcid.org/0000-0001-9117-1881
  • Giovana Clarice Poggere Federal University of Technology – Paraná (UTFPR), Av. Brasil, nº 4232, Parque Independência, Medianeira, PR 85884-000, Brazil. http://orcid.org/0000-0003-2434-9875
  • Gabriel Democh Goularte Federal University of Paraná (UFPR), Rua dos Funcionários, nº 1540, Curitiba, PR 80035-050, Brazil.

DOI:

https://doi.org/10.33837/msj.v3i1.1095

Keywords:

farm management, image analysis, crop production, portable agricultural technology, smartphones

Abstract

Although applications (apps) for mobile devices show increasing popularity in the agricultural sector, studies regarding their availability are still incipient. In the present study, a survey was conducted to assess global trends of app availability for agriculture. This survey was conducted in 2015 and 2018 in two app stores with free access (Google Play and Windows Phone); searches for the following keywords were included in the survey: agriculture, agri, and farming. In 2015 and 2018, these searches found 244 and 599 apps from 33 and 61 countries, respectively. Countries with the largest number of apps (i.e., USA, Brazil, and India) accounted for ~64% of all surveyed apps. However, diversity and availability of paid apps was greater in USA and Brazil compared to India. Although many apps were related to magazines and market information, numerous other apps were available on farm management, pests and diseases, precision agriculture, and technical assistance. Related apps that used photographic input and citizen science data were also found. Our study indicates that the global development of apps for agriculture is growing rapidly, with most serving informative purposes at no cost to users.

References

Barbosa, J. Z., Consalter, R., Pauletti, V., & Motta, A. C. V. (2016). Uso de imagens digitais obtidas com câmeras para analisar plantas. Revista de Ciências Agrárias, 39(1), 15-24.

Barbosa, J. Z., Motta, A. C. V., Reis, A. R., Corrêa, R. S. & Prior, S. A. (2020). Spatial distribution of structural elements in leaves of Ilex paraguariensis: physiological and ecological implications. Trees, 34, 101-110.

Bezerra, G. A. S., Silveira, E. D., Dutra, D. V, Ferreira, P. A. A., & Maran, V. (2020). Aplicativo móvel multiplataforma de suporte para o sistema Agrofert. Ciência e Natura, 42, e38.

Bonke, V., Fecke, W., Michels, M., & Musshoff, O. (2018). Willingness to pay for smartphone apps facilitating sustainable crop protection. Agronomy for Sustainable Development, 38(5), 51.

Costopoulou, C., Ntaliani, M., & Karetsos, S. (2016). Studying mobile apps for agriculture. IOSR Journal of Mobile Computing & Application, 3 (6), 44-49.

Cubero, S., Albert, F., Prats-Moltalbán, J.M., Fernández-Pacheco, D.G., Blasco, J., & Aleixos, N. (2018). Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices. Biosystems Engineering, 167, 63-74.

Chung, S., Breshears, L.E., & Yoon, J.Y. (2018). Smartphone near infrared monitoring of plant stress. Computers and Electronics in Agriculture, 154, 93-98.

Hossain, M. S., Mahmud, M., Rahman, M. M., Simul, S. A., & Billah, M. M. (2019). Analysis of farmers' digital applications (apps) for availing agriculture-related information services. International Journal of Civil Service Reform and Practice, 4(2), 1-17.

Inwood, S.E.E., & Dale, V.H. (2019). State of apps targeting management for sustainability of agricultural landscapes. A review. Agronomy for Sustainable Development, 39(1), 8.

Laamrani, A., Pardo Lara, R., Berg, A.A., Branson, D., & Joosse, P. (2018). Using a mobile device “app” and proximal remote sensing technologies to assess soil cover fractions on agricultural fields. Sensors, 18(3), 708.

Machado, B.B., Orue, J.P., Arruda, M.S., Santos, C.V., Sarath, D.S., Goncalves, W.N., et al. (2016). BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory. Computers and Electronics in Agriculture, 129, 44-55.

Maldonado Júnior, W., Valeriano, T.T.B., & Souza Rolim, G. (2019). EVAPO: A smartphone application to estimate potential evapotranspiration using cloud gridded meteorological data from NASA-POWER system. Computers and Electronics in Agriculture, 156, 187-192.

Meena, R.L., Jirli, B., Kanwat, M., & Meena, N.K. (2018). Mobile applications for agriculture and allied sector. International Journal of Current Microbiology and Applied Sciences, 7(2), 2317-2326.

Molthan, A., Maskey, M., Hain, C., Meyer, P., Nair, U.S., Handyside, C.T., et al. (2017). Drought Information Supported by Citizen Scientists (DISCS). AGU Fall Meeting Abstracts. Retreived June 20, 2019, from http://adsabs.harvard.edu/abs/2017AGUFMIN42A..08M

Nutini, F., Confalonieri, R., Crema, A., Movedi, E., Paleari, L., Stavrakoudis, D., et al. (2018). An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps. Computers and Electronics in Agriculture, 154, 80-92.

Patel, H., & Patel, D. (2016). Survey of android apps for agriculture sector. International Journal of Information Sciences and Techniques, 6:61-67.

Pongnumkul, S., Chaovalit, P., Surasvadi, N. (2015). Applications of smartphone-based sensors in agriculture: a systematic review of research. Journal of Sensors, Article ID 195308.

Romani, L. A., Magalhães, G., Bambini, M. D., & Evangelista, S. R. (2015). Improving digital ecosystems for agriculture: users participation in the design of a mobile app for agrometeorological monitoring. In Proceedings of the 7th International Conference on Management of Computational and Collective Intelligence in Digital EcoSystems, Caraguatatuba, Brazil, October 25-29 2015 (pp. 234-241). New York, USA: Association for Computing Machinery.

Sharma, S., Sharma, D.K., & Sharma, S. (2018). Overview of mobile android agriculture applications. International Research Journal of Engineering and Technology, 5(8):225-231.

Stroud, J.L. (2019). Soil health pilot study in England: Outcomes from an on-farm earthworm survey. PLoS ONE, 14(2), e0203909.

Tejada-Castro, M., Delgado-Vera, C., Garzón-Goya, M., Sinche-Guzmam, A., & Cárdenas-Rosales, X. (2018). Trends in the Use of Webapps in Agriculture: A Systematic Review. Advances in Intelligent Systems and Computing, 130–142.

Terry, M. (2010). Medical apps for smartphones. Telemedicine and e-Health, 16 (1), 17-23.

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Published

2020-04-07

How to Cite

Barbosa, J. Z., Prior, S. A., Pedreira, G. Q., Motta, A. C. V., Poggere, G. C., & Goularte, G. D. (2020). Global trends in apps for agriculture. Multi-Science Journal (ISSN 2359-6902), 3(1), 16-20. https://doi.org/10.33837/msj.v3i1.1095

Issue

Section

Agricultural Sciences