SYSTEM FOR AN IOT DEVICE FOR TRACKING HEALTH AND LOCATION OF LIVESTOCK

The invention discloses a livestock monitoring system utilizing firmware and computer-readable instructions for IoT devices. It tracks the health and location of livestock by monitoring their temperature and adjusting the frequency of data transmission accordingly. When the temperature is within normal ranges, data is sent once per hour; for slightly elevated temperatures, data transmission increases to every 30 minutes, and for high temperatures, it increases to every 15 minutes, reverting back to hourly transmissions when temperatures normalize. The system includes features such as activation via magnet, SMS/email notifications, reprogramming over-the-air, and alerts for temperature fluctuations. Additionally, it incorporates facial recognition for livestock identification and disease traceability to locate animals within a specified distance of a diseased individual.

FIELD OF THE INVENTION

The present invention relates to the field of livestock management technology. Specifically, the invention pertains to a firmware system for IoT devices used in tracking the health and location of livestock.

BACKGROUND OF THE INVENTION

As the global population continues to rise, the demand for food production is escalating rapidly, necessitating a corresponding increase in livestock production. To meet this growing demand and ensure the availability of healthy livestock, there is an imperative need to monitor their health status effectively. Traditionally, efforts have been made to monitor livestock characteristics and detect their health status by attaching or implanting health sensor devices onto or within the bodies of individual animals. These health sensor devices collect biometric data from the animals, which is then analyzed to provide insights into their health condition.

US 20090182207A1 discloses an ingestible bolus configured to be maintained in a stomach of an animal. Ballast weight and a power source may be disposed therein. The ballast weight may be configured to cause the bolus to be maintained in contact with a stomach wall of the animal when disposed therein. The bolus may comprise sensors to measure one or more animal characteristics, a transmitter in wireless communication with an animal monitoring system, a memory unit to store measured characteristics and bolus configuration data, and processor to control the operation of the bolus components. The transmitter may be in communication with an antenna. The antenna may be separated from the sensors, processors, and transmitter to prevent and/or reduce interference and/or coupling therebetween. The sensors are programmed to sample/poll to measure the corresponding animal characteristics of respective animal of livestock at a preset sampling/polling rate and update using wireless communication.

US20090187392A1 provides an ingestible bolus may be disposed within the stomach of an animal. The bolus may comprise one or more sensors to monitor one or more internal and/or external animal characteristics. The bolus may comprise a data transmitter in wireless communication with a base station. The base station may receive messages from the bolus comprising one or more measured animal characteristics. The base station may comprise a process to monitor the animal and/or be in communication with a process to monitor the animal. The process limits to building an animal profile based upon the observed characteristics of the animal without taking into consideration real time variation in animal characteristic, the characteristics of other animals in a group associated with the animal, and/or characteristics associated with the breed and/or sex of the animal. Based on this profile, the process may detect a change in a health condition of the animal. Such heath conditions may include, but are not limited to, an estrus condition in the animal, off-feed condition, a nominal condition, the animal leaving an enclosure, or the like.

WO2022220317A1 discloses an ingestible health sensor device configured to stay in the stomach of an animal may be formed of a substantially cylindrical housing shell. A ballast weight and a power source may be disposed therein. The ballast weight may be configured to cause the health sensor device to remain in contact with the gastric wall of the animal when the health sensor device is disposed in the animal's stomach. The health sensor device may comprise: a sensor which measures a plurality of animal characteristics; a transmitter which wirelessly communicates with an animal monitoring system; a memory unit for storing the measured characteristics and health sensor device configuration data; and a processor which controls the operation of the components of the health sensor device. The transmitter may communicate with an antenna, and the antenna may be formed as a trace on an antenna circuit board such as a printed circuit board (PCB). The antenna may be separated from the sensor, the processor, and the transmitter to prevent and/or reduce interference and/or coupling therebetween. The invention is restricted by the limitations of the method and system by the disclosure for measuring only the digestibility in the rumen of a ruminant of the animal by withdrawing gastric juices from various locations in the rumen.

Livestock management is a critical component of agricultural practices worldwide, serving as a primary source of food and livelihood for countless communities. However, traditional methods of monitoring livestock health and location have faced significant limitations, hindering optimal production and management outcomes.

One prominent issue with existing livestock monitoring technologies is their inability to adapt to the dynamic health conditions of individual animals. Conventional approaches often rely on static monitoring systems or periodic manual checks, which fail to provide real-time insights into the health status of livestock. This delay in detection can lead to missed opportunities for timely intervention, resulting in decreased productivity and potential health risks for the animals.

Moreover, the complexity and invasiveness of current health monitoring techniques present additional challenges. Attachment or implantation of health sensor devices onto or within the bodies of livestock can be cumbersome, costly, and potentially harmful to the animals. Furthermore, the data collected from these devices may be limited in scope or accuracy, leading to incomplete or unreliable health assessments.

Furthermore, the escalating global demand for livestock products underscores the urgency for more efficient and effective monitoring solutions. With population growth and increasing food requirements, there is a pressing need for innovative technologies that can enhance livestock management practices, improve production efficiency, and ensure the health and well-being of livestock population.

In light of these challenges, there exists a clear need for advancements in livestock monitoring technologies that offer real-time, non-invasive, and adaptable solutions to address the evolving demands of modem agriculture.

SUMMARY OF THE INVENTION

To address the foregoing problems, in whole or in part, and/or other problems that may have been observed by persons skilled in the art, the present disclosure provides compositions and methods as described by way of example as set forth below.

A principal object of the invention is to improve the monitoring of livestock health and location by employing an IoT device equipped with innovative firmware.

Another object of the invention is to dynamically adjust the frequency of data transmission based on the temperature of the livestock, ensuring timely and efficient data delivery.

Another object of the invention is to provide alerts and notifications to livestock managers regarding temperature fluctuations and potential health concerns.

Another object of the invention is to enhance overall livestock management practices by providing accurate, real-time data on temperature, health status, and location, facilitating better decision-making and care.

In view of the foregoing, the present invention provides a firmware system designed for an IoT device used in tracking the health and location of livestock. This system entails the monitoring of the temperature of the livestock and dynamically adjusting the frequency of data transmission based on the recorded temperature. Specifically, when the temperature falls within the normal range, data transmission occurs once per hour. In instances where the temperature exceeds the normal range, data is transmitted every 30 minutes. Similarly, when the temperature reaches the high range, data transmission frequency increases to every 15 minutes. The system automatically reverts to the default transmission frequency of once per hour when the temperature returns to the normal range.

In an aspect of the invention, the IoT device further comprises a magnet used to activate the IoT device.

In an aspect of the invention, the IoT device sends an SMS and/or email notification to the user upon activation.

In an aspect of the invention, the IoT device is inserted into the livestock using a balling gun.

In an aspect of the invention, the frequency of data transmission is reprogrammable over-the-air.

In an aspect, alerts are generated when the temperature transitions between normal and slight high, slight high and high, or pregnancy and normal ranges.

In another embodiment, the invention comprises a computer-readable non-transitory storage medium contains instructions executable by a processor of an IoT device configured to track the health and location of livestock. The instructions involve monitoring the temperature of the livestock and adjusting the frequency of data transmission based on the temperature. Specifically, when the temperature is in the normal range, data is sent once per hour; when the temperature is above the normal range, data is sent every 30 minutes; when the temperature is in the high range, data is sent every 15 minutes. The system automatically reverts to sending data once per hour when the temperature returns to the normal range.

In another embodiment, the invention provides a method for monitoring the health and location of livestock using an IoT device equipped with firmware involves several steps. Firstly, it includes monitoring the temperature of the livestock. Then, based on the recorded temperature, the method adjusts the frequency of data transmission accordingly. Specifically, when the temperature falls within the normal range, data is sent once per hour. However, if the temperature exceeds the normal range, data transmission occurs every 30 minutes. Furthermore, when the temperature reaches the high range, data transmission frequency increases to every 15 minutes. The method seamlessly reverts to sending data once per hour as soon as the temperature returns to the normal range.

DETAILED DESCRIPTION OF THE INVENTION

The subject matter of the present invention now will be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the subject matter of the present invention are shown. Like numbers refer to like elements throughout. The subject matter of the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. Indeed, many modifications and other embodiments of the subject matter of the present invention set forth herein will come to mind to one skilled in the art to which the subject matter of the present invention pertains having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. All illustrations of the drawings are for the purpose of describing selected versions of the present invention and are not intended to limit the scope of the present invention. Therefore, it is to be understood that the subject matter of the present invention is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims.

The present invention discloses an innovative approach to livestock monitoring through a sophisticated firmware system designed specifically for IoT devices. This system efficiently tracks the health and location of livestock, addressing long-standing challenges associated with traditional monitoring methods. By utilizing temperature data, the invention dynamically adjusts the frequency of data transmission, ensuring timely and effective communication of essential information.

The invention's adaptable nature enables it to respond promptly to fluctuations in the health conditions of livestock. When the temperature falls within the normal range, data transmission occurs once per hour, establishing a reliable baseline for monitoring. However, as temperature variations arise, the system adapts in real-time, increasing the frequency of data transmission to every 30 minutes for slightly elevated temperatures and every 15 minutes for high temperatures. This responsive approach ensures that livestock managers receive timely updates on their animals' health status, enabling proactive intervention when necessary.

In addition to its adaptive monitoring capabilities, the invention introduces several innovative features to enhance livestock management practices. With the convenience of activating the IoT device using a magnet and receiving instant notifications via SMS or email, livestock managers have seamless control and monitoring capabilities at their disposal. Furthermore, the system offers over-the-air reprogramming, allowing for easy updates and ensuring optimal performance over time.

Beyond its temperature-based monitoring functionality, the invention incorporates advanced features such as facial recognition for livestock identification and disease traceability to locate nearby animals in case of health concerns. By integrating these cutting-edge technologies, the invention represents a comprehensive solution for modern livestock management, fostering improved productivity, health outcomes, and overall efficiency in agricultural practices.

In accordance with an embodiment of the present invention,FIG.1illustrates a schematic diagram100depicting one version of a system designed for monitoring the characteristics of one or more animals in real-time. The system, as shown inFIG.1, includes an ingestible bolus110that is placed within the stomach114of an animal112(referred to as livestock) to gauge various aspects of the animal's health. This ingestible bolus110is equipped with multiple sensors120to measure the animal's characteristics at a predetermined sampling or polling frequency. Additionally, there is a processing unit140linked to the sensors120, a memory unit150connected to the processing unit140, and a real-time clock unit170. Moreover, there's a transceiver unit131tied to the processing unit140, along with multiple antenna units133and135communicating with the transceiver unit131. Furthermore, there are multiple wireless transponders160and162linked to the ingestible bolus110, as well as a wireless network140with a base station142in communication with the numerous wireless transponders160and162.

At least one122sensor from the group of sensors120detects or identifies a change in the corresponding characteristic of the animal112. Upon detecting such variation, the processing unit140, utilizing the memory unit150and the real-time clock unit170, automatically adjusts the pre-set sampling or polling frequency of the identified sensor. This adjustment is made in real-time, depending on the rate of change observed in the characteristic of the animal112. The transceiver unit131is set up to transmit these automatic adjustments in the pre-set sampling or polling frequency of the identified sensor in real-time. This transmission is facilitated through the array of antennas133and135to the plurality of wireless transponders160and162. Additionally, the wireless transponders160and162are configured to update the detected variations in the corresponding animal characteristic to the wireless network140and the base station142. Furthermore, these wireless transponders are also programmed to relay the detected variations in the corresponding animal characteristic, based on the changes in the pre-set sampling or polling frequency, to an extraterrestrial network.

Upon receiving the detected variation in the corresponding characteristic of the animal112, the base station142is additionally programmed to ascertain the proximity of the animal112within the livestock. This determination is made possible by utilizing one or more of the plurality of wireless transponders160,162and the wireless network140. Moreover, the base station142, leveraging the wireless network140and one or more of the plurality of wireless transponders160,162, is configured to update the wireless transmission of a set of machine-executable sequential instructions to the ingestible bolus110. This update enables adaptive animal monitoring, ensuring the ingestible bolus110remains in sync with the evolving monitoring requirements seamlessly.

In one embodiment of the current disclosure, illustrated inFIG.1, an ingestible bolus110is positioned within the anatomy of an animal112. This ingestible bolus110is designed to be ingested through the esophagus113of a ruminant animal, such as a bovine. Specifically tailored for this purpose, the ingestible bolus110possesses dimensions and density that allow it to reside comfortably within the stomach of a bovine. This ensures that the bolus remains securely in place and is not expelled from the animal's reticulum115and/or rumen114.

InFIG.1, the presence of ingestible bolus110is depicted within the rumen114of a ruminant animal. This ingestible bolus110is adaptable to be situated within any stomach or stomach chamber capable of accommodating it. Designed for durability, the ingestible bolus110can persist within the animal's reticulum115and/or rumen114for the entirety of its lifespan.

Alternatively, in a different embodiment, a bolus may be administered via injection, implantation beneath the skin, or other means within the animal's body.

The ingestible bolus110incorporates a multitude of sensors120to detect various animal characteristics. In this setup, the ingestible bolus110wirelessly transmits data pertaining to monitored animal characteristics to the base station142. These monitored characteristics encompass physiological aspects such as temperature, stomach pH, blood pH, heart rate, respiration, stomach contractions, as well as non-physiological factors like animal movement and motion activity, and animal location.

The base station142comprises a computing device that is communicatively linked to the base station142. This computing device can be of any type, either general-purpose or tailored to specific functions, as known in the field.

For wireless communication, the ingestible bolus110employs a wireless transmitter and/or receiver, functioning typically at 900 MHz or another suitable radio frequency. In certain scenarios, this wireless communication may be two-way, allowing the ingestible bolus110to both transmit and receive data from the base station142.

Given that animals in livestock may traverse expansive areas such as feed lots, dairies, ranges, or enclosures, the distance between the base station142and the ingestible bolus110could exceed the wireless communication range of the ingestible bolus110. In such instances, a plurality of wireless transponders160,162may be deployed to extend the communication range of the ingestible bolus110to the base station142. These transponders receive wireless transmissions from the ingestible bolus110and retransmit them at a higher power or different frequency to facilitate reception by the base station142. Similarly, transmissions from the base station142to the ingestible bolus110can be relayed by the transponders at higher power to ensure reception by the ingestible bolus110.

The wireless communication attributes of the ingestible bolus110between the base station142and/or the plurality of transponders160,162may enable the base station142to determine location information concerning the respective animal112. When employing a single base station142, various methods, including assessing wireless signal strength or timestamp information in the wireless message, may be used to determine the animal's distance from the base station142.

As depicted inFIG.1, the system may involve the base station142and/or the plurality of transponders160,162. In such scenarios, the base station142may ascertain location information pertaining to the animal through established wireless communications triangulation methods.

FIG.2presents an embodiment of a process flowchart200detailing the adaptive monitoring procedure for animals utilizing an ingestible bolus, as depicted inFIG.1. The process initiates at step202by magnetizing and positioning the ingestible bolus within the animal, as described inFIG.1. Subsequently, step204involves the measurement of a corresponding characteristic of the livestock animal using one or more sensors housed within the ingestible bolus.

Progressing to step206, if a sensor identifies a deviation in the measured animal characteristic beyond the preset range, the process advances. For instance, if the sensor detects a fluctuation in the animal's temperature, denoting either an increase or decrease, the measurement is recorded. The process then either proceeds to step208or loops back to step204, depending on whether the measured temperature falls within the preset range indicative of the animal's normal physiological state.

In the event of a detected temperature variation at step206, the process proceeds to step208, where the preset sampling/polling rate of the sensor is automatically adjusted to reflect the temperature variation. Concurrently, the process awaits the new sample of animal characteristic at the altered sampling/polling rate, as indicated in step210. Following the automated adjustment, the detected temperature variation is communicated to the base station142in step212using IoT-enabled devices associated with the wireless transponders160,162and the wireless network140.

Lastly, at step214, the base station142, leveraging the wireless network140and IoT-enabled devices160,162, determines the proximity of the respective animal within the livestock population. This iterative process enables the continuous monitoring and adaptive response to variations in animal characteristics, facilitating proactive intervention and improved livestock management practices.

FIG.3showcases a screenshot of a software system300designed for determining the proximity of an animal301within a population of livestock (302,311,320,321. . . ) as part of an embodiment of a system and method for adaptive monitoring of animals within the livestock. The base station142and/or computing device may be monitored by and/or in communication with an entity known as the animal manager. This animal manager can encompass individuals, machinery, or processes involved in overseeing one or more animals. Responsible for the animals monitored by the disclosed systems and methods, the animal manager may oversee various automated systems such as feeding, heating, and cooling mechanisms.

Furthermore, the animal manager may comprise human personnel and/or veterinary professionals, ensuring comprehensive oversight and care for the animals. The base station142and/or computing system can be configured by or interact with the animal manager to monitor and respond to changes in animal health conditions. This collaboration between the base station142, computing system, and the animal manager facilitates effective management of livestock health and ensures timely interventions when required.

In accordance with an embodiment of the present invention,FIG.4illustrates a block diagram of a firmware system for an IoT device for tracking health and location of livestock. The depicted system block diagram illustrates a firmware system integrated within an IoT device designed for monitoring the health and location of livestock. At the core of this system lies the firmware, responsible for orchestrating the monitoring process. A crucial component of the firmware is the inclusion of a temperature sensor, facilitating the continuous monitoring of the livestock's temperature. This temperature data serves as the basis for dynamically adjusting the frequency of data transmission. When the temperature falls within the normal range, data is transmitted once per hour, ensuring regular updates while conserving resources. Should the temperature exceed the normal range, the transmission frequency is intensified, with data sent every 30 minutes. Similarly, in high-temperature scenarios, data is transmitted every 15 minutes to provide more frequent updates during critical conditions. Importantly, the system autonomously reverts to the standard transmission frequency when the temperature returns to the normal range, ensuring efficient operation and resource utilization. Overall, this system offers a robust solution for real-time livestock monitoring, optimizing data transmission frequency based on temperature fluctuations to facilitate timely intervention and care.

In an embodiment, in addition to its primary components for livestock tracking, the IoT device is equipped with a magnet designed to activate its functionalities. This magnet serves as a user-friendly mechanism to power on the IoT device, initiating its operations. By holding the magnet near the designated activation area of the IoT device for a brief period, users can easily trigger its functionality without the need for complex procedures or external tools. This activation mechanism enhances the user experience by providing a simple and intuitive way to initialize the device, ensuring quick and convenient deployment in various livestock management scenarios.

In an embodiment, upon activation, the IoT device is programmed to send an SMS and/or email notification to the designated user or users. This notification serves as an alert to inform the user that the IoT device has been activated and is ready for operation. By leveraging SMS and email communication channels, the IoT device ensures timely and reliable delivery of notifications to users, regardless of their location or preferred mode of communication. This feature enhances the user experience by providing immediate feedback upon device activation, allowing users to promptly take action or monitor the device's status. Additionally, the SMS and email notifications enable seamless integration of the IoT device into existing communication workflows, facilitating efficient coordination and decision-making in livestock management operations.

In an embodiment, process of inserting the IoT device into the livestock involves utilizing a tool known as a balling gun. This specialized device is designed to facilitate the safe and efficient administration of boluses or capsules to animals, particularly livestock. To insert the IoT device, the user loads it into the balling gun, ensuring proper alignment and positioning for insertion. With the IoT device securely loaded, the user then approaches the target livestock and administers the bolus using the balling gun. The design of the balling gun allows for controlled and precise delivery of the IoT device into the animal's throat or esophagus, ensuring that it is safely swallowed and positioned within the digestive tract. By utilizing the balling gun for insertion, users can ensure consistent and accurate placement of the IoT device, minimizing the risk of injury to both the animal and the user. Additionally, the use of the balling gun streamlines the insertion process, making it faster and more efficient compared to manual insertion methods.

In an embodiment, the capability for over-the-air reprogramming of the frequency of data transmission represents a significant advancement in the functionality of the IoT device. This feature enables users to remotely adjust and fine-tune the data transmission frequency without the need for physical access to the device. By leveraging wireless communication protocols, such as Wi-Fi or cellular networks, users can initiate reprogramming commands from a centralized management platform or application. Upon receiving the reprogramming command, the IoT device executes the necessary adjustments to the data transmission frequency, ensuring seamless integration with evolving operational requirements or environmental conditions. This flexibility empowers users to optimize the performance of the IoT device in real-time, adapting to changing circumstances or priorities without disruption to livestock monitoring activities. Furthermore, over-the-air reprogramming eliminates the need for manual interventions or on-site visits, reducing operational overhead and enhancing scalability across large-scale livestock management operations.

In an embodiment, the generation of alerts based on temperature transitions signifies a critical aspect of the IoT device's monitoring capabilities, facilitating proactive intervention and decision-making in livestock management. Alerts are triggered when the temperature of the livestock transitions between predefined temperature ranges, including normal to slight high, slight high to high, or pregnancy to normal ranges. These transitions serve as indicators of potential changes in the animal's health status or environmental conditions, warranting attention from the user or livestock caretaker.

When the temperature shifts from normal to slight high, it may signal the onset of mild stress or discomfort in the animal, prompting the generation of an alert to prompt investigation and possible intervention to mitigate any emerging issues. Similarly, transitions from slight high to high temperatures indicate more significant deviations from the norm, potentially signaling the presence of heat stress or illness that requires immediate attention.

Moreover, alerts are also generated when the temperature transitions from pregnancy to normal ranges, indicating the conclusion of the gestation period. This alert serves as a valuable notification for monitoring reproductive cycles and facilitating timely management practices, such as identifying potential calving or breeding opportunities. By generating alerts for these temperature transitions, the IoT device enhances situational awareness and enables timely responses to changes in livestock health and environmental conditions.

In an embodiment, the incorporation of facial recognition capability into the invention represents a significant enhancement in livestock monitoring and management practices. With this feature, the IoT device gains the ability to accurately identify individual animals based on their facial characteristics. Facial recognition technology leverages advanced algorithms to analyze unique facial features such as markings, shapes, and proportions, enabling precise identification and differentiation of livestock within a herd. By deploying facial recognition, the invention offers several key benefits. Firstly, it enables automated and non-intrusive identification of individual animals, eliminating the need for physical tags or manual record-keeping methods. This streamlines livestock management tasks such as tracking health records, monitoring growth rates, and managing breeding programs.

Additionally, facial recognition enhances data accuracy and integrity by associating specific information and metrics with individual animals. This allows for personalized monitoring and tailored management strategies based on the unique needs and characteristics of each animal. For example, health alerts and feeding schedules can be customized to address specific requirements or conditions identified through facial recognition.

In an embodiment, the inclusion of a disease traceability feature in the invention represents a significant advancement in livestock management practices. This feature allows users to accurately locate other livestock within a certain distance of a specified animal, facilitating rapid response and containment measures in the event of disease outbreaks or health concerns. By leveraging this capability, livestock managers can quickly identify and isolate potentially affected animals, minimizing the spread of diseases and reducing the impact on overall herd health. Furthermore, the disease traceability feature enhances overall traceability and monitoring capabilities within livestock operations.

In an embodiment, the distance parameter specified by the user serves as a critical component of the disease traceability feature, allowing users to define the radius within which they wish to locate livestock in relation to a diseased animal. This user-defined parameter enables flexibility and customization in disease management strategies, empowering users to tailor their monitoring and response efforts based on the specific requirements of their operation or the nature of the disease outbreak. By incorporating historical data, the disease traceability feature utilizes past livestock movements and interactions to identify animals within the specified distance of a diseased individual. This historical perspective enhances the accuracy and reliability of the traceability feature, providing users with actionable insights into potential disease transmission pathways and enabling targeted intervention measures to mitigate risks and contain outbreaks effectively.

Furthermore, the IoT device's capability to identify the livestock's reproductive cycle and health status based on temperature data represents a significant advancement in livestock monitoring technology. By analyzing temperature patterns, the device can accurately determine the animal's reproductive stage, such as estrus or pregnancy, as well as detect deviations indicative of health issues or stress. This real-time assessment of reproductive cycles and health status enables timely management interventions, such as optimizing breeding schedules or administering veterinary care, to support overall herd health and productivity. Additionally, by integrating temperature-based health monitoring into the IoT device's functionality, users gain valuable insights into livestock well-being, facilitating proactive management strategies and enhancing animal welfare outcomes in livestock farming operations.

In accordance with an embodiment of the present invention,FIG.5illustrates a block diagram of a computer system for executing adaptive monitoring of the livestock. The computer system500shown in the figure comprises a processor502which serves as the computational engine responsible for executing the instructions stored within the computer-readable non-transitory storage medium. The system further comprises the firmware502-1for tracking the health and location of livestock. The firmware502-1interacts with the IoT device502-2, encompassing the necessary hardware components for livestock monitoring. Within the IoT device502-2, the health and location tracking firmware502-3orchestrates the monitoring process, ensuring seamless operation. A specialized module embedded within the firmware is the temperature monitoring and control module502-4, tasked with monitoring the livestock's temperature and dynamically adjusting the frequency of data transmission based on temperature fluctuations. The temperature monitoring and control module502-4plays a pivotal role in ensuring timely and efficient data transmission, optimizing resource utilization while providing real-time monitoring capabilities. Overall, the integrated components within the computer system work in tandem to facilitate effective livestock tracking, enhancing livestock management practices and enabling proactive intervention when necessary.

Some of the non-limiting advantages of the present invention are:Real-time Monitoring: The invention provides real-time monitoring of livestock health and location, allowing for immediate detection of any abnormalities or health concerns, enabling prompt intervention and treatment.Adaptive Data Transmission: By dynamically adjusting the frequency of data transmission based on livestock temperature, the invention optimizes communication efficiency, ensuring that critical information reaches livestock managers promptly and accurately.Non-invasive Implementation: Unlike traditional monitoring methods that may involve invasive procedures or attachments, the invention offers a non-invasive solution, minimizing stress and discomfort for the animals while still providing comprehensive monitoring capabilities.Enhanced Management Features: In addition to temperature-based monitoring, the invention incorporates advanced features such as facial recognition for livestock identification and disease traceability, empowering livestock managers with comprehensive tools for efficient management and disease control.

All publications, patent applications, patents, and other references mentioned in the specification are indicative of the level of those skilled in the art to which the presently disclosed subject matter pertains. All publications, patent applications, patents, and other references are herein incorporated by reference to the same extent as if each individual publication, patent application, patent, and other reference was specifically and individually indicated to be incorporated by reference. It will be understood that, although a number of patent applications, patents, and other references are referred to herein, such reference does not constitute an admission that any of these documents forms part of the common general knowledge in the art. Although the foregoing subject matter has been described in some detail by way of illustration and example for purposes of clarity of understanding, it will be understood by those skilled in the art that certain changes and modifications can be practiced within the scope of the appended claims.