Abstract
In the last years, the agricultural systems based on Crop-Livestock-Forestry integrationhave emerged as a potential solution due to its capacity to maximize land use and reduces the effects of high temperatures on the animals. Within these systems, there exist an interest in technological solutions capable of monitor the animals in real-time. From this monitoring, one of the main interest is to know if an animal is in the sun or in the shade of a tree by using some environmental measures. However, as there is a possibility that the weather is cloudy, real-time monitoring also needs to identify this case. That is, the realtime monitoring also needs to differentiate the shade of a tree from a cloudy weather. The interest in this kind of monitoring is due to the fact that an animal that remains a long time under a shade of a tree provides substantial insights to indicate if this is in thermal stress. This information can be used in decision-making with the goal to reduce the impact of the thermal stress and consequently to provide welfare to the animal and reduces the financial losses. As a solution to identify if an animal is in the sun or in the shade of a tree or if the weather is cloudy, we developed an electronic device, used to capture values of environmental variables, which integrated with a mathematical model predicts the shade state (sun, shade or cloudy) where the animal can be found. We illustrate the performance of the proposed solution in a real data set.
Highlights
Nowadays, animal welfare, environmental sustainability, and food security are some of the most challenging issues for large scale crop and animal farming development
In the last few years, agricultural systems based on Crop-Livestock-Forestry integration [1, 17] have been adopted to maximize the land use while minimizing the effects of high temperatures on animal welfare [13]
As an alternative to the usual method, this paper presents a technological solution composed of an electronic platform integrated with a mathematical model that collects environmental data, processes the data in real-time, and predicts the shade state that an animal is found
Summary
Animal welfare, environmental sustainability, and food security are some of the most challenging issues for large scale crop and animal farming development. 630 AN INTEGRATED APPROACH BETWEEN COMPUTING AND MATHEMATICAL MODELLING animal physiological and behavioral patterns such as the increase in water ingestion, reduction in the frequency of activities and modifications on blood gases and plasma All these features impact the animal’s production performance [4] which leads to financial losses. As an alternative to the usual method (visual), this paper presents a technological solution composed of an electronic platform integrated with a mathematical model that collects environmental data, processes the data in real-time, and predicts the shade state that an animal is found. The mathematical model considered is a Multinomial Logistic Regression [2, 11] model with three categories, representing the status sun, cloudy, and shade This joint use of an electronic platform with a mathematical model is the main contribution of the paper since it inserts in the cattle production a non-invasive technological innovation that monitors the animals in real-time.
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