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Sirvi Autor "Gonzalez, V." järgi

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  • Pisipilt
    Kirje
    Approach to a classification of construction typologies of pig facilities: case study Antioquia – Colombia
    (2021) Castrillón, N.; Gonzalez, V.; Osorio, J.A.
    Pig facilities foro confined production in tropical countries such as Colombia does not specify, in the present moment a typological classification that allows researchers to carry out evaluations related to animal comfort and environmental impacts according to the type of accommodation. To achieve the objective of this research were developed a survey to a panel of experts, a decision sensitivity analysis and the hierarchical analytical method AHP. Parameters that allowed to describe the concept of a technified pig farm were obteined, where the most relevant were: biosecurity measures, measurement of zootechnical parameters, training for workers and legal fulfilment. Additionally, ranges were defined to establish the production size in small, medium and large according to the number of animals. The results obtained per group were: 1) breeding small (50–200), medium (201–1,000) and large (1,001–5,000); 2) growth small (60–200), medium (201–800) and large (801–5000); and 3) finishing stage small (50–500), medium (501–1,000) and large (2,001–5,000). A total of 948 typological combinations were initially determined. Finally, the construction characteristics with the greatest technical and operational feasibility were prioritized for each group achieving 36 typologies that can represent the typological pig facilities not only in the state of Antioquia but also in many others states in Colombia.
  • Pisipilt
    Kirje
    Integration of low-cost technologies for real-time monitoring of pigs in pre-fattening stage
    (Estonian University of Life Sciences, 2024) Montoya, A.P.; Obando, F.A.; Osorio, J.A.; Gonzalez, V.
    Measurement of environmental, behavioural, and physiological variables is essential for decision making in intensive animal production systems. Data collection and analysis, in real time, employing low-cost tools are fundamental to increase competitiveness and animal wellness. In this context, the goal of this research was to develop a low-cost measurement system for monitoring bioclimatic and behavioural parameters in the production of pigs in the pre-fattening stage. Internet of things technologies was employed in order to increase control over the production and as a tool for decision-making in real time. Sensor Networks were developed using low-cost sensors open-source platforms and code. The system was validated in a pig farm located in Antioquia-Colombia with two groups of 10 pigs in the pre-fattening stage. Parallel tests with three sequential repetitions were carried out. The system was validated through continuous environmental data collection and periodic physiological measurements. The developed system includes temperature, relative humidity, global radiation, wind speed, pressure, and lighting sensors. A high microclimatic variability was found inside the facilities, presenting thermal discomfort conditions in some hours of the day, which impacted the development and behaviour of the animals. The adaptation of low-cost technologies for real-time monitoring of pigs is viable and facilitate decision-making in real time improving the productive efficiency, supplying important information at a productive and scientific level.