The use of mechanical and electronic devices in different livestock production processes has led to automation of a set of practices. Although these practices have initially reduced the need for labor, their main contribution is the possibility of adapting operations to individual needs of the animals, for which there must be subsystems capable of recognizing animals when they interact with automated systems
(Bijl et al., 2007; Cornou, 2009; Betteridge et al., 2010; Hamadani et al., 2015). Biosensors have the ability to measure physiological and immunological responses in various animal species based on the generation of new biosensing methodologies. To achieve this, specific monitoring equipment is available, with a high degree of specialization that covers several aspects of animal physiology and environment. In addition, these systems meet desirable conditions such as reliability, ease of use and the opportunity to improve the monitoring of desired variables
(Bijl et al., 2007; Betteridge et al., 2010; Sinha et al., 2018).
In cattle, these biosensors have allowed evaluation of numerous physiological and metabolic variables that have been commonly associated with productive processes
(Sinha et al., 2018) and ruminant health, such as ruminal stability. Measurement of pH, whose variations determine rumen functionality, has allowed establishing a range of pH, variations outside of which animal health can be affected
(Duffield et al., 2004; Castro et al., 2015; Neethirajan et al., 2017). A common problem in dairy cattle is ruminal acidosis, characterized by an alteration of pH when the amount of saliva produced to buffer the pH of the rumen decreases and the ingestion of large quantity of carbohydrate rich diet, causes high mortality due to proliferation of lactate producing rumen bacteria
(Kumar et al., 2007), pH can also be altered by consumption of feed concentrate in larger quantities or sudden changes in the diet. Besides voluntary intake
(Duffield et al., 2004; Castro et al., 2015), thermal environment is a major factor that can negatively influence animal physiology especially of high genetic merit animal
(Yazgan, 2017), comfort depends on environment temperature. In the case of rumen temperature, detection can be adjusted to between 37°C and 40°C. A biosensor that senses this range covers all relevant physiological temperatures and thus, it is useful for determination of the main ruminal functions. It would be of use, for example, to physiologists interested in the complex ruminal functioning and to veterinarians responsible for animal welfare
(Duffield et al., 2004; Castro et al., 2015; Tousova et al., 2017).
Animal welfare means how an animal is facing the conditions in which it lives; it is based on ‘five freedoms’ and ‘four principles’ of animal welfare. Dairy cattle are considered as sentient beings due to which husbandry should be provided as per their needs
(Kumar et al., 2017) which are influenced by factors such as temperature and relative humidity, management, nutrition and preventive medicine
(Moberg, 1987; href="#belasco_2015">Belasco et al., 2015; Tousova et al., 2017). The productive efficiency of the animal can indicate its relationship with the production system in which it is managed; therefore, its analysis can provide a starting point for assessing welfare
(Duncan, 1990). Bovines maintained and managed under optimal conditions can better express their breeding characteristics, which economically favor production. The duration and frequency of the periods during which the cows lie down are indicators of the degree of comfort they are experiencing
(Duncan, 1990; Haley et al., 2000). This has direct relevance for clinical health, particularly, in the incidence of lameness. In addition, plasma concentrations of growth hormones are reduced in cows that are deprived of rest periods and can affect milk production
(Munksgaard and LØvendahl, 1993). The rest periods of bovines are observed directly by personnel in charge or recorded in video for a later analysis. These methods, however, are time-consuming, requiring intense work and may influence the behavior of the animals under study. In addition, when more than one observer is used, inter-observer differences arise
(Muller and Schrader, 2003; Neethirajan, 2017). Moreover, none of the methods mentioned for data collection is suitable for use in large-scale production systems. The development of autonomous probes for monitoring the biological variables ruminal pH and temperature with electronic elements that carry out conversion and transmission of
in vivo data with high temporal resolution is the main focus of this study. This paper presents the results of the development of a multifunctional prototype capable of simultaneously measuring the two variables and sending these signals to a receiver for real-time viewing.