Software for recording and capture video sequences for poultry and laying hens facility (BIOTERIUM)

Mario Mollo Neto; Mariana  Mariana Matulovic da Silva Rodrigueiro

doi:10.31686/ijier.vol8.iss2.2167

Authors

Mario Mollo Neto Paulista State University (UNESP), Faculty of Science and Engineering, Tupã https://orcid.org/0000-0002-8341-4190
Mariana Matulovic São Paulo State University (UNESP), Faculty of Science and Engineering, Tupã/SP Brazil https://orcid.org/0000-0001-6626-4621

DOI:

https://doi.org/10.31686/ijier.vol8.iss2.2167

Keywords:

Video Capture, Software, Sampling, Animal Behaviour, Requirements Analysis

Abstract

Behavior can sometimes be observed directly, and can also be affected by the presence of human observers. Technological devices have strongly advanced our understanding of certain aspects of animal behavior, and the small cameras borne in a straight line by study animals offer a reliable alternative to direct observation. One possible way to make animal welfare assessments easier and faster could be the application of audio and video data analysis. In this research, the main goal is to reach the requirements determination, and the construction to build a concurrent alternative to CCTV software based on new proprietary software, developed in Matlab® language, to record and capture video sequences in digital memory hardware. The proposed software stakeholders’ needs are written attending the specification in the ISO/IEC/IEEE 29148:2011 standard, and the life cycle adapted to the development was based in the standard ISO/IEC/IEEE 12207:2008. The main user interface was generated using the Matlab® GUI (Graphical User Interface). In the results, a resumed table with the final document of Requirement Specification (StRS) was generated and the main interface is coded. The system validation took place in the animal houses (bioterium) over a period of three months and the data collection and software usability reach the attendance to all the requirements listed. Thus, in the conclusions, it was observed that its users considered the developed software a good tool to help researches in the poultry and laying hens’ facility (bioterium).

Downloads

Download data is not yet available.

Author Biography

Mario Mollo Neto, Paulista State University (UNESP), Faculty of Science and Engineering, Tupã

Unidade: Faculdade de Ciências e Engenharia (Câmpus de Tupã)

Unidade de Lotação: Coordenadoria de Curso de Engenharia de Biossistemas

Regime: RDIDP Titulação: MS-5.1

Contato: mario.mollo@unesp.br

Engenharia de Biossistemas - Faculdade de Ciências e Engenharia (Câmpus de Tupã)

References

[1]. PEREIRA, D. F.; MIYAMOTO, B. C. B.; MAIA G. D. N.; SALES, G. T.; MAGALHÃES, M. M.; GATES, R. S. Machine vision to identify broiler breeder behavior. Computers and Electronics in Agriculture v. 99, p. 194–199, 2013.
[2]. PRAYITNO, D.S., PHILLIPS, C.J.C., STOKES, D.K. The effect of color and intensity of the light on behavior and leg disorder in broiler chickens. Poultry Science v. 76, p. 1674–1681, 1997.
[3]. ARCHER, G.S., SHIVAPRASAD, H.L., MENCH, J.A. Effect of providing light during incubation on the health, productivity, and behavior of broiler chickens. Poultry Science v. 88, p. 29–37, 2009.
[4]. SHIELDS, S.J., GARNER, J.P., MENCH, J.A. Effect of sand and wood-shavings bedding on the behavior of broiler chickens. Poultry Science v. 84, p. 1816–1824, 2005.
[5]. SALGADO, D.D., NÄÄS, I.A., PEREIRA, D.F., MOURA, D.J. Modelos estatísticos indicadores de comportamentos associados a bem-estar térmico para matrizes pesadas. Engenharia Agrícola Jaboticabal v. 27 n. (3), p. 619–629, 2007.
[6]. LARA, L. J.; ROSTAGNO, M. H. Impact of heat stress on poultry production. Animals v. 3, p. 356–369, 2013.
[7]. MOLLAH, B. R.; HASAN, A.; SALAMC, A.; ALI, A. Digital image analysis to estimate the live weight of broiler. Computers and Electronics in Agriculture 72, p. 48–52, 2010.
[8]. ABREU, P.G.; ABREU, V.M.N.; COLDEBELLA, A.; HASSEMER, M.J.; TOMAZELLI, I.L. Medidas morfológicas em função do peso e da idade da ave, por meio de imagens. Revista Brasileira de Engenharia Agrícola e Ambiental. v.16, n.7, p.795–801, 2012.
[9]. DAWKINS, M.S; CAIN, R.; ROBERTS, S.J. Optical flow, flock behaviour, and chicken welfare. Animal Behaviour 84. p. 219-223, 2012.
[10]. CHAO, K.; YANG, C.; KIM, M. S.Spectral line-scan imaging system for high-speed non-destructive wholesomeness inspection of broilers. Trends in food science & technology 21, p. 129-137, 2010.
[11]. DAWKINS, M.S.; LEE H.; WAITT, C.D.; ROBERTS, S.J. Optical flow patterns in broiler chicken flocks as automated measures of behaviour and gait. Applied animal behaviour science 119, p. 203–209, 2009.
[12]. DAWKINS, M.S; CAIN R.; MERELIE, K.; ROBERTS, S.J. In search of the behavioural correlates of optical flow patterns in the automated assessment of broiler chicken welfare. Applied animal behaviour science, 145, p. 44– 50, 2013.
[13]. XIN, H.; SHAO, J. Real-time assessment of swine thermal comfort by computer vision. In: World congress of computers in agriculture and natural resources, 2, 2002, Foz do Iguaçu. Proceedings. Foz do Iguaçu: ASAE, p. 362-369, 2002.
[14]. KASHIHA, M.; BAHR, C.; OTT, S.; MOONS, C.P.H.; NIEWOLD, T.A.; ÖDBERG, F.O.; BERCKMANS, D. Automatic identification of marked pigs in a pen using image pattern recognition. Computers and electronics in agriculture 93, p. 111–120, 2012.
[15]. TASDEMIR, S.; URKMEZ, A.; INAL, S. Determination of body measurements on the Holstein cows using digital image analysis and estimation of live weight with regression analysis. Computers and electronics in agriculture, 76, p. 189–197, 2011.
[16]. GATES, R. S.; XIN, H. Extracting poultry behaviour from time-series weigh scale records. Computers and Electronics in Agriculture, v. 62, n. 1, Pages 8-14, 2008.
[17]. DAMASCENO, J.; GENARO, G.; TERÇARIOL, C.A.S. Effect of the presence of a person known to the cats on the feeding behavior and placement of feeders of a domestic cat colony. Journal of Veterinary Behavior: Clinical Applications and Research, v.11, p. 31-36, 2016.
[18]. HUCK, M.; WATSON, S.The use of animal-borne cameras to video-track the behaviour of domestic cats. Applied Animal Behaviour Science, v.217, p.63-72, 2019.
[19]. FERRARI, S.; SILVA, M.; GUARINO, M.; AERTS, J.M.; BERCKMANS, D. Cough sound analysis to identify respiratory infection in pigs. Computers and Electronics in Agriculture, v.64, p. 318-325, 2008.
[20]. ROSS, L.; CRESSMANM, M.D.; CRAMERM, C.; PAIRIS-GARCIA, D. Validation of alternative behavioral observation methods in young broiler chickens. Poultry Science, v. 98, n.12, p. 6225-6231, 2019.
[21]. LEHNER, P.N. Sampling methods in behavior research. Poultry Science, v.71, p. 643-649, 1992.
[22]. JACOBS, L.; VEZZOLI, G.; BEERDA, B. MENCH, J. A.Northern fowl mite infestation affects the nocturnal behavior of laying hens. Applied Animal Behaviour Science, v. 216, p. 33-37, 2019.
[23]. LYNN, G.S.; AKGÜN, A.E. Project visioning: its components and impact on new product success. Journal of Product Innovation Management, v.18, n.6, p.374-387, 2001.
[24]. GOTTESDIENER, E.; GORMAN, M. Discover to Deliver: Agile Product Planning and Analysis, EBG Consulting, 2014.
[25]. KARRAS, O.; SCHNEIDER, K.; FRICKERB, S. A. Representing software project vision by means of video: A quality model for vision videos. Journal of Systems and Software, Available online 20 November 2019, 110479. In Press, Corrected Proof.
[26]. CARTER, L.R.; KARATSOLIS, A. Lessons from trying to develop a robust documentation exemplar. Proceedings of the Twenty-seventh ACM International Conference on Design of Communication, ACM pp. 199-204, 2009.
[27]. CREIGHTON, O.; OTT, M.; BRUEGGE, B. Software cinema – video-based requirements engineering Proceedings of the 2006 IEEE Fourteenth International Requirements Engineering Conference (RE), IEEE pp. 109-118, 2006.
[28]. NÄÄS, I. A.; SEVEGNANI, K. B.; MARCHETO, F. G.; ESPELHO, J. C. C.; MENEGASSI, V.; SILVA, I. J. O. Avaliação térmica de telhas de composição de celulose e betumem, pintadas de branco, em modelos de aviários com escala reduzida. Engenharia Agrícola, Jaboticabal, v. 21, n.2, p.121-126, 2001.
[29]. ISO/IEC/IEEE 29148:2011: Systems and Software Engineering – Life Cycle Processes – Requirements Engineering. ISO/IEC/IEEE 29148:2011, 2011.
[30]. ISO/IEC/IEEE 12207:2008 Systems and software engineering — Software life cycle processes. ISO/IEC/IEEE 12207:2008, 2008.
[31]. RYAN, M.J. An Improved Taxonomy for Major Needs and Requirements Artifacts. International Council on Systems Engineering (INCOSE), v.23, n.1, Philadelphia, PA, June 24–27, 2013.
[32]. SEBoK Editorial Board. 2019. The Guide to the Systems Engineering Body of Knowledge (SEBoK), v. 2.1, R.J. Cloutier (Editor in Chief). Hoboken, NJ: The Trustees of the Stevens Institute of Technology. Accessed 13/01/2020. www.sebokwiki.org. BOOKCASE is managed and maintained by the Stevens Institute of Technology Systems Engineering Research Center, the International Council on Systems Engineering, and the Institute of Electrical and Electronics Engineers Computer Society.
[33]. MCIVER, W.J.; SIOCHRU, S.; GIRARD, B.; POWELL, M. A Community Informatics for the Information Society. Communicating in the Information Society, p.33-64, 2020. Available at: < https://www.researchgate.net/publication/237417319_A_Community_Informatics_for_the_Information_Society> Access in 14/01/2020.