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Livestock barns are integral to modern agriculture, providing essential environments for raising animals. The air quality in these barns directly impacts livestock health, quality of production and environmental sustainability. Trends in key metrics such as gas concentrations, particulate matter levels, humidity content, and temperature can influence the overall health of livestock, barn operations, and broader ecological factors. Understanding these trends and their interrelationships is crucial for managing barn...

This article presents a study focused on animal activity recognition using a combination of IoT devices and signal processing techniques. The study involves collecting data from IoT devices placed on the cow's neck, which are equipped with an accelerometer and gyroscope, along with a synchronized video camera. The objective is to accurately recognize and classify four key activities exhibited by the cow. To prepare the collected signals for analysis, various signal processing techniques are applied. This includes ...

The continuous rise in global population necessitates the prediction of food resources, among which milk stands out as one of the staples. Dairy farms and processing plants need to know how much milk they will have available to manage their storage and processing capacities efficiently. Overestimating production can lead to wastage, while underestimating can lead to shortages. Knowing the expected milk quantity helps in planning the transportation, processing, and distribution of milk and milk products. This study...

This paper focuses on recognizing the activity of dairy cows using a non-invasive approach that monitors four key behaviors: licking, feeding, standing, and lying. The study used IoT devices with accelerometers and gyroscopes attached to the cow's neck to continuously monitor its movements. The data collection process aimed to capture the dynamic and static nature of dairy cow behaviors, providing a valuable data set for subsequent analysis. To efficiently process the raw data, we analyzed it and then used long sh...

The development of modern dairy farming is aimed at creating larger farms with more intensive production in accordance with the market needs. New larger livestock facilities need new approaches to management and logistics. The Internet of Things (IoT), machine learning (ML) and cloud computing are forming the basis of digital animal husbandry as they are increasingly being introduced into dairy farming. The collection of IoT sensor data and their storage in the information cloud allows the use of machine learning ...

Digital Twins can be seen as powering the next generation of IoT-connected solutions. Digital Twins model the real world by using historical and real-time data to represent the past and present and simulate the predictable future. Digital twins are related to a set of concepts such as digital representation and 3D visualization, integration, monitoring, control, computation, prediction, and decision-making. They are digital replicas of physical objects having bidirectional data flow. The physical object and its di...

The technological progress naturally leads to a transition from Agriculture 4.0 to Agriculture 5.0, which includes key technologies as Wireless Sensor Networks, Internet of Things, Cloud age, Artificial Intelligence, and Machine Learning accompanying agronomic activities. These technologies allow collection of information, analyzing and drawing meaningful insights from it in a more accurate, timely and reliable manner. IoT in this context refers to the use of IoT devices to convert data from surrounding elements a...

The sustainable agriculture requires a series of complex, individual but interrelated and dependent on each other processes that need to be efficiently organized in stages to ensure good overall results. Therefore, the success of a given product is based on a triangle formed by the farmer, the technology and the concept of services and counseling. Services and counseling are based on collected data. Data generated from modern agricultural activities is extracted with the usage of various sensors embedded in agricu...

With introduction of new and advanced technologies in beekeeping it is possible to design and use Internet of Things (IoT) sensor systems embedded in beehives. This provides the ability to collect heterogeneous data and to provide real-time remote monitoring. Complex prognostic models are applied after the data is manipulated and normalized. The obtained results are used to predict the processes occurring in beehives. For this purpose, the collected data must be divided into at least two parts for training and val...

With introduction of new and advanced technologies in beekeeping it is possible to design and use Internet of Things (IoT) sensor systems embedded in beehives. This provides the ability to collect heterogeneous data and to provide real-time remote monitoring. Complex prognostic models are applied after the data is manipulated and normalized. The obtained results are used to predict the processes occurring in beehives. For this purpose, the collected data must be divided into at least two parts for training and val...

The article reviews and analyzes the existing computer systems and platforms for the dynamic monitoring of bee hives, through which various states of bee colonies can be detected and analyzed. Contemporary solutions are based on the Internet of Things (IoT) concept and consist of a number of different sensors that collect several types of data about the internal condition of the hive. The article proposes a new model of IoT-based monitoring system, which consists of sensors being located inside and outside of bee ...