Improving the management of poultry production: Mobile application development and validation

Authors

DOI:

https://doi.org/10.33448/rsd-v9i10.8806

Keywords:

App; Broiler production; Good practices of production; Loss reduction; Quality control; Technology.

Abstract

The broiler production chain is productive, and chicken meat has achieved high export rates to several countries in the world. This study aimed to develop a mobile application that helps the producer to audit the issues of good production practices. The application was developed for Android and programmed in Java. For its development, questions were used, with different weights according to their importance for production. These questions were removed from the items that make up the manuals of good practices used in Brazil. A test was carried out with users to determine the possibility of using the application in the field. After answering all the questions, the user gets a score ranging from 5 to 1 (excellent to bad). It also indicates which questions they did agree with good practices. The test with users showed that the application was easy to understand and enabled users to make decisions that would improve broiler production.

References

ABPA. Associação Brasileira de Proteína Animal. Relatório Anual (2017). Retrieved from <http://www.abpa-br.org/>.

Alencar, M. do C. B., Nääs, I. A., & Gontijo, L. A. (2009). Work activities and workers' health in broiler production: a case study. Brazilian Journal of Poultry Science, 11(2), 73-78. doi:10.1590/S1516-635X2009000200001

ABNT. Associação Brasileira de Normas Técnicas. NBR ISO/IEC 25062 (2011) Engenharia de software. Requisitos e avaliação da qualidade de produto de software (SQuaRE), Formato comum da indústria (FCI) para relatórios de teste de usabilidade. Rio de Janeiro: ABNT.

Avila, V. S. de, Bellaver, C., Paiva, D. P. de, Jaenisch, F. R. F. Mazzuco, H., Trevisol, I. M., Palhares, J. C. P., Abreu, P. G. de & Rosa, P. S. (2007). Boas práticas de produção de frangos de corte. Circular Técnica Embrapa. Retrieved from <https://ainfo.cnptia.embrapa.br/d igital/bitstrea m/CNPSA/16385/1/publicacao_s8t285e.pdf>.

Banhazi, T. M., & Black, J. L. (2009). Precision Livestock Farming: A suite of electronic systems to ensure the application of best practice management on livestock farms. Aust. J. Multi-Disciplinary, Eng. 7 (1), 1-14. doi:10.1080/14488388.2009.11464794

Baumüller, H. (2012). Facilitating agricultural technology adoption among the poor: the role of service delivery through mobile phones. ZEF Working Paper Series, No. 93. doi:10.22004/ag.econ.147913

Bessei, W. (2006). Welfare of broilers: World's Poultry Science Journal, 62(3), 455-466. doi:10.1017/S0043933906001085

Brasil. Agência Nacional de Vigilância Sanitária. Portaria nº. 1428 de 26 de novembro de 1993. (1993). DOU - Diário Oficial da União, Poder Executivo, de 02 de dezembro de 1993. Aprova: regulamento técnico para inspeção sanitária de alimento; diretrizes para o estabelecimento de Boas Práticas de Produção e de Prestação de Serviços na Área de Alimentos; e regulamento técnico para o estabelecimento de padrão de identidade e qualidade para serviços e produtos na área de alimentos. Accessed Jun 18, 2020 at: <http://www.anvisa.gov.br>.

Carmona, M. A., Sautua, F. J., Pérez-Hernández, O., & Mandolesi, J. I. (2018). AgroDecisor EFC: first Android™ app decision support tool for timing fungicide applications for management of late-season soybean diseases. Computer.Electronics in Agriculture, 144, 310–313. doi:10.1016/j.compag.2017.11.028

Carter, M. R., Cheng, L., & Sarris, A. (2016). Where and how index insurance can boost the adoption of improved agricultural technologies. Journal of Development. Economics, 118, 59–71. doi:10.1016/j.jdeveco.2015.08.008

Carvalho, C. C. S., Souza, C. de F., Tinôco, I. de F. F., Santos, L. V., Minette, L. J., & Silva, E. P. da. (2015). Activities and Ergonomics of Workers in Broiler Hatcheries. Brazilian Journal of Poultry Science, 17(2), 123-136. doi:10.1590/1516-635x1702123-136

Chen, X., Jia, J., Gao, W., Ren, Y., & Tao, S. (2017). Selection of an index system for evaluating the application level of agricultural engineering technology. Pattern Recognition. Letters, 109, 12–17. doi:10.1016/j.patrec.2017.09.028

Baerdemaeker, J. (2013). Precision Agriculture Technology and Robotics for Good Agricultural Practices. IFAC Conference on Bio-Robotics, 5(46), 1–4. doi:10.3182/20130327-3-JP-3017.00003

Roo, N., Anderson, J., & Krupnik, T. (2017). On-farm trials for development impact? The organization of research and the scaling of agricultural technologies. Journal of Experimental. Agriculture International, 1–22. doi:10.1017/S0014479717000382

Eberhardt, M., & Vollrath, D. (2016). The effect of agricultural technology on the speed of development. World Development-Journal Elsevier, 109, 483–496. doi:10.1016/j.worlddev.2016. 03.017

Espíndola, C. J. (2012), Trajetórias do progresso técnico na cadeia produtiva de carne de frango do Brasil. Revista Geosul, Florianópolis, 27(53) 89-113.

Federici, J. F., Vanderhasselt, R., Sans, E. C. O., Tuyttens, F. A. M., Souza, A. P. O., & Molento, C. F. M. (2016). Assessment of Broiler Chicken Welfare in Southern Brazil. Brazilian Journal of Poultry Science, 18(1), 133-140. doi:10.1590/18069061-2015-0022.

Garcia, R. G., Paz, I. C. L., Caldara, F. R., Nääs, I. A., Pereira, D. F., & Freitas, L. W. (2010). Effect of the litter material on drinking water quality in broiler production. Brazilian Journal of Poultry Science, 12(3):165–169. doi:10.1590/S1516-635X2010000300005

Google. Android Studio. (2018). Retrieved from <https://developer.android.com/studi o/index.html>.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015). The rise of "big data" on cloud computing: review and open research issues. Information. System, 47, 98–115. doi:10.1016/j.is.2014.07.006

ITU (2016). The World in 2016: ICT Facts and Figures. International Telecommunication Union, Geneva.

Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. Computer Electronics in Agricultura, 143, 23–37. doi:10.1016/j.compag.2017.09.037

Lima, A. O. K., Nääs, I. A., Garcia, R. G., Borille, R., & Caldara, F. R. (2014). Impact of different light sources on broiler rearing environment. Engenharia Agrícola, 34(3):428–434. doi:10.1590/S0100-69162014000300006

Martins, R. S., Hötzel, M. J., & Poletto, R. (2013). Influence of in-house composting of reused litter on litter quality, ammonia volatilization and incidence of broiler footpad dermatitis. British Poultry Science, 54(6): 669–676. doi:10.1080/00071668.2013.838747

Menezes, A. G., Nääs, I. A., & Baracho, M. S. (2010). Identification of critical points of thermal environment in broiler production. Brazilian Journal of Poultry Science, 12(1):21–29. doi:10.1590/S1516-635X2010000100003

MAPA. Ministério da Agricultura, Pecuária e Abastecimento. Agrostat. (2014). Accesed on July 20, 2020 at: http://agrostat.agricultura. gov.br/bi/!ap_bi_login

Newman N., Fletcher, R., Kalogeropoulos, A. & Nielsen, R. (2019). Reuters Institute Digital News Report, 1–156.

Pereira, A. S., Shitsuka, D. M., Parreira, F. J., & Shitsuka, R. (2018). Metodologia da pesquisa científica. [e-book]. Santa Maria. Ed. UAB/NTE/UFSM. Accessed on Sept 28, 2020 at: <https://repositorio.ufsm.br/bitstream/handle/1/15824/Lic_Computacao_Metodologia-Pesquisa-Cientifica.pdf?sequence=1>.

Reck, Â. B., & Schultz, G. (2016). Aplicação da metodologia multicritério de apoio à decisão no relacionamento interorganizacional na cadeia da avicultura de corte. Revista de Economia e Sociologia Rural, 54(4), 709-728. doi:10.1590/1234-56781806-94790540407

Saito, K., Diack, S., Dieng I., & N'Diaye, M.K. (2015). On-farm testing of a nutrient management decision-support tool for rice in the Senegal River valley. Computer Electronics in Agriculture, 116, 36–44. doi:10.1016/j.compag.2015.06.008

Silva, R. B. T. R., Nääs, I. A., & Moura, D. J. (2009). Broiler and swine production: animal welfare legislation scenario. Scientia Agricola, 66: 713-720. doi:10.1590/S0103-90162009000600001

Souza, A. P. O, Sans, E. C. O, Müller, B. R, & Molento, C. F. M. (2015). Broiler chicken welfare assessment in GLOBALGAP® certified and non- certified farms in Brazil. Animal Welfare, 24(1):45-54. doi:10.7120/09627286.24.1.045

Van Hertem, T., Rooijakkers, L., Berckmans, D., Fernández, A. P., Norton, T., & Vranken, E. (2017). Appropriate data visualisation is key to Precision Livestock Farming acceptance. Computers and Electronics in Agriculture, 138, 1-10. doi:10.1016/j.compag.2017.04.003

Van Vugt, D., Franke, A. C., & Giller, K. E. (2017). Participatory research to close the soybean yield gap on smallholder farms in Malawi. Experimental Agriculture, 53(3), 396-415. doi:10.1017/S0014479716000430

Verma, P., & Sinha, N. (2018). Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service. Technological Forecasting Social Change, 126, 207–216. doi:10.1016/j.techfore.2017.08.013

Weber, R., & Weber, R. (2010). Internet of Things – Legal Perspectives. Springer International Publishing, New York, USA. doi:10.1007/978-3-642-11710-7

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Published

01/10/2020

How to Cite

SILVA, R. B. T. R. da .; NÄÄS, I. de A. .; OLIVEIRA JÚNIOR , A. J. de .; REIS, J. G. M. dos .; LIMA, N. D. da S. .; SOUZA, S. R. L. de . Improving the management of poultry production: Mobile application development and validation. Research, Society and Development, [S. l.], v. 9, n. 10, p. e4019108806, 2020. DOI: 10.33448/rsd-v9i10.8806. Disponível em: https://www.rsdjournal.org/index.php/rsd/article/view/8806. Acesso em: 27 jun. 2022.

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Section

Agrarian and Biological Sciences