Abstract
The systems of livestock production contribute in a preponderant way to improve the quality of life of the communities, since it allows to support the production of the daily sustenance of the communities, to conserve the ecosystems, to promote the conservation of the wild life and to satisfy the values and traditions cultural Latin America, with its large wilderness areas, and a privileged climate favors the maintenance of livestock, to meet the demands of food and ensure regional and global food security. In Colombia, the agricultural sector contributes approximately 11.83% of the national GDP at current prices, according to the Bank of the Republic. Likewise, the livestock industry participates with 3.6%, in comparison with other sectors of the agricultural economy, the production of Colombian cattle doubles and triples to other sectors, such as poultry, coffee and floriculture. In addition, it contributes to the generation of employment in more than 25% of the total jobs generated in the agricultural sector and approximately 7% of the total employment of the Colombian economy (http://www.banrep.gov.co/is/pib). Within agricultural production, livestock occupy 38 million hectares, being 9 times larger than the area dedicated to agriculture. However, agriculture contributes 63% of the value of agricultural production, while livestock, mainly extensive, contributes 26% (FEDEGAN, Strategic Livestock Plan 2019). The large proportion of the area with agricultural vocation dedicated to precarious extensive livestock has explained the low agricultural productivity in Colombia, with very serious consequences for human and sustainable development. This document shows the results of the communications, software and hardware platforms to help the livestock sector to manage production.
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References
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: Rev. Electrónica de Vet. 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? Parasit. 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 (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 (2016)
Calabria-Sarmiento, J.C., et al.: Software applications to health sector: a systematic review of literature (2018)
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To the company extreme tecnologies for the development of the information platform and to the company Fegacesar, for allowing the piloting of this solution.
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Ariza-Colpas, P. et al. (2019). Teleagro: Software Architecture of Georeferencing and Detection of Heat of Cattle. In: Figueroa-García, J., Duarte-González, M., Jaramillo-Isaza, S., Orjuela-Cañon, A., Díaz-Gutierrez, Y. (eds) Applied Computer Sciences in Engineering. WEA 2019. Communications in Computer and Information Science, vol 1052. Springer, Cham. https://doi.org/10.1007/978-3-030-31019-6_14
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