Abstract
The loss of reproductive efficiency of animals and cattle rustling have become one of the main concerns of farmers. The decrease in reproductive efficiency is mainly due to the low percentage in heat detection. Reproductive efficiency is commonly measured by the interval between births, which affects the daily milk production of the cow during its productive life and the income associated with the sale of milk from its production, conditioning the profitability of the farmers. The zeal for its part consists of the theft of bovine cattle that usually is used for its commercialization, bringing considerable losses. According to figures from the Observatory of Human Rights and International Humanitarian Law of the Fundacion Colombia Ganadera, Fundagán, only during 2014 there were 164 cases of cattle rustling, resulting in the loss of 3,798 cattle throughout the country, which represents a loss for the producers of 15 billion of Colombian money. This project proposes the development of a technological platform that combines hardware, software and communications systems of the latest technology and with open standards to provide an economic and reliable solution to the Colombian and Latin American livestock industry. In Colombia, there is a history of products and prototypes that have been developed to alleviate this problem, no platforms of similar benefits have been found that are accessible to farmers in the country. In this article, the different stages developed to obtain a validated prototype with the beneficiary entity and their respective results are socialized.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chanvallon, A., et al.: Comparison of three devices for the automated detection of estrus in dairy cows. Theriongenology 82(5), 734–741 (2014). https://doi.org/10.1016/j.theriogenology.2014.06.010
Duponte, M.W.: The Basis of Heat (Estrus) Detection in Catle. University of Hawaii at Manoa, 8–10 April 2007
Pérez, L.A.Q., Romero, J.A., Rojas, R.L.: Evaluación de dos protocolos de inseminación artificial a término fijo (IATF) con dos inductores de ovulación (benzoato de estradiol y cipionato de estradiol) en vacas raza criollo caqueteño en el departamento del Caquetá. REDVET. Revista Electrónica de Veterinaria 16(9), 1–11 (2015)
Gaignard, L., Charon, A.: Gestion de crise et traumatisme: les effets collatéraux de la vache folle. De l’angoisse singulière à l’embarras collectif. Travailler 2, 57–71 (2005)
de la Rosa, C.A.: An inexpensive and open-source method to study large terrestrial animal diet and behaviour using time-lapse video and GPS. Methods Ecol. Evol. 10(5), 615–625 (2019)
Desiato, R., et al.: Data on milk dioxin contamination linked with the location of fodder croplands allow to hypothesize the origin of the pollution source in an Italian valley. Sci. Total Environ. 499, 248–256 (2014)
Iwashita, H., et al.: Push by a net, pull by a cow: can zooprophylaxis enhance the impact of insecticide treated bed nets on malaria control? Parasites Vectors 7(1), 52 (2014)
Bhattarai, N.R., et al.: Domestic animals and epidemiology of visceral leishmaniasis, Nepal. Emerg. Infect. Dis. 16(2), 231 (2010)
Doherr, M.G., Zurbriggen, A., Hett, A.R., Rüfenacht, J., Heim, D.: Geographical clustering of cases of bovine spongiform encephalopathy (BSE) born in Switzerland after the feed ban. Vet. Rec. 151(16), 467–472 (2002)
Palechor, M., Enrique, F., De La Hoz Manotas, A.K., De La Hoz Franco, E., Ariza Colpas, P.P.: Feature selection, learning metrics and dimension reduction in training and classification processes in intrusion detection systems. J. Theor. Appl. Inf. Technol. 82(2), 291–298 (2015)
De-La-Hoz-Franco, E., Ariza-Colpas, P., Quero, J.M., Espinilla, M.: Sensor-based datasets for human activity recognition–a systematic review of literature. IEEE Access 6, 59192–59210 (2018)
Palechor, F.M., De la Hoz Manotas, A., Colpas, P.A., Ojeda, J.S., Ortega, R.M., Melo, M.P.: Cardiovascular disease analysis using supervised and unsupervised data mining techniques. JSW 12(2), 81–90 (2017)
Mendoza-Palechor, F.E., Ariza-Colpas, P.P., Sepulveda-Ojeda, J.A., De-la-Hoz-Manotas, A., Piñeres Melo, M.: Fertility analysis method based on supervised and unsupervised data mining techniques. Int. J. Appl. Eng. Res. 11(21), 10374–10379 (2016)
Calabria-Sarmiento, J.C., et al.: Software applications to health sector: a systematic review of literature. J. Eng. Appl. Sci. 13(11), 3922–3926 (2018)
Acknowledgment
To the company extreme technologies for the development of the information platform and to the company Fegacesar, for allowing the piloting of this solution.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Ariza-Colpas, P. et al. (2019). Teleagro: IOT Applications for the Georeferencing and Detection of Zeal in Cattle. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-28957-7_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-28956-0
Online ISBN: 978-3-030-28957-7
eBook Packages: Computer ScienceComputer Science (R0)