Description:FIELD OF DISCLOSURE
[0001] The present disclosure relates generally relates to animal welfare technology, more specifically, relates to livestock health monitoring system and method thereof.
BACKGROUND OF THE DISCLOSURE
[0002] This invention helps farmers take better care of animals without checking them constantly. It saves time and reduces the need to always be near the animals. Farmers stay informed about their animals' health anytime. This leads to better management and more peace of mind. It also helps farmers feel more confident in their work.
[0003] This invention makes it easier to notice when animals are unwell. Early awareness helps avoid serious health issues. It supports timely care and keeps animals comfortable. Animals remain healthy for longer periods. It also avoids the stress of last-minute actions or surprises. Farmers feel more in control and prepared.
[0004] This invention helps in saving money by reducing animal-related losses. Healthier animals lead to better farm results. There are fewer emergencies, which lowers costs. It makes the whole farm run more smoothly. Animals stay productive and farms remain organized. Overall, it supports steady growth and a better future for the farm.
[0005] Many existing inventions do not give complete health updates about animals. They often focus on only one issue and leave out other important signs. This causes delays in knowing when animals need help. Farmers still need to keep checking animals often. It increases work and creates stress during emergencies.
[0006] Most current inventions do not alert farmers ahead of time. They only respond when something is already wrong. This leads to missed chances for early care. Animals may suffer longer before getting attention. It becomes difficult to plan properly. Farmers end up reacting late instead of preventing problems.
[0007] Some existing inventions are too costly and hard to use. They need special tools or expert help. Small farms cannot afford or manage them easily. They become more of a burden than a benefit. This limits their use to only large farms. Many farmers are left without helpful solutions.
[0008] Thus, in light of the above-stated discussion, there exists a need for a livestock health monitoring system and method thereof.
SUMMARY OF THE DISCLOSURE
[0009] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0010] According to illustrative embodiments, the present disclosure focuses on a livestock health monitoring system and method thereof which overcomes the above-mentioned disadvantages or provides the users with a useful or commercial choice.
[0011] An objective of the present disclosure is to ensure timely and continuous monitoring of livestock health conditions. This helps farmers stay updated about animal well-being at all times. It reduces the dependency on manual supervision. It supports more organized farm management.
[0012] An objective of the present disclosure is to help reduce the risks caused by delayed health detection in animals. It enables quick awareness of potential issues. This helps protect animals from prolonged suffering. It also lowers the chances of unexpected losses.
[0013] Another objective of the present disclosure is to improve overall productivity on livestock farms by minimizing health-related disruptions. It helps maintain consistent animal performance. It supports better planning for livestock care. It makes daily farm activities more efficient.
[0014] Another objective of the present disclosure is to support easy and fast access to important health-related insights. This reduces confusion about animal conditions. It allows quicker understanding of changes. It also helps reduce guesswork in decision-making.
[0015] Another objective of the present disclosure is to offer a reliable health awareness approach suitable for both small and large-scale farms. It ensures flexibility in farm usage. It promotes better animal care without high cost. It supports more farmers through simplicity.
[0016] Another objective of the present disclosure is to enhance animal safety by reducing the risks of unnoticed illnesses. It allows better response before conditions worsen. It encourages more confidence among farm caretakers. It makes animal care more predictable.
[0017] Another objective of the present disclosure is to encourage smarter livestock handling through meaningful insights. It brings awareness about changing conditions. It supports better judgment for next steps. It helps prevent problems before they spread.
[0018] Another objective of the present disclosure is to assist in reducing animal stress by promoting early actions for well-being. It supports more peaceful environments for livestock. It also helps maintain animal comfort. It improves the quality of care provided.
[0019] Another objective of the present disclosure is to simplify routine tasks associated with livestock health monitoring. It reduces time and effort for farm workers. It encourages better consistency in observation. It helps farmers focus on other priorities.
[0020] Yet another objective of the present disclosure is to promote a shift from reactive to preventive care practices in livestock management. It motivates a future-focused approach. It supports better outcomes over time. It strengthens animal support systems.
[0021] In light of the above, in one aspect of the present disclosure, a livestock health monitoring system is disclosed herein. The system comprises a plurality of wearable sensors configured to continuously measure vital parameters of a livestock animal. The system includes a central gateway device operatively connected to the plurality of wearable sensors and configured to collect real-time health data from the plurality of wearable sensors and format the health data into structured packets. The system also includes a communication network operatively connected to the central gateway device and configured to transmit the structured packets of health data. The system also includes a cloud-based processing unit operatively connected to the communication network configured to receive the structured packets of health data, analyse the structured packets using anomaly detection algorithms, and generate a health alert when a deviation is detected from predefined healthy parameter thresholds. The system also includes a user device operatively connected to the cloud-based processing unit via the communication network and configured to receive the health alert, and store the alert in a local log database. The system also includes a user interface inside the user device configured to display livestock-specific status information visualize real-time health metrics, generate graphical representations of historical data, and allow a user to configure livestock-specific alert thresholds and notification settings.
[0022] In one embodiment, the plurality of wearable sensors comprises a geolocation sensor configured to track movement patterns and pasture utilization of the livestock animal.
[0023] In one embodiment, the central gateway device comprises a microcontroller and local cache storage configured to temporarily retain sensor data during periods of communication network unavailability.
[0024] In one embodiment, the cloud-based processing unit comprises a machine learning engine trained on livestock physiological patterns to dynamically adapt anomaly detection parameters.
[0025] In one embodiment, the user device comprises an alert generation module configured to trigger escalated notifications based on severity levels determined by the cloud-based processing unit.
[0026] In one embodiment, the user device comprises a trend visualization module configured to display graphical summaries of health data trends for individual livestock animals.
[0027] In one embodiment, the cloud-based processing unit further comprises a predictive analysis module configured to forecast likely health events based on long-term monitoring data.
[0028] In one embodiment, the plurality of wearable sensors further comprises an ambient environment sensor configured to measure surrounding temperature and humidity affecting livestock health.
[0029] In one embodiment, the plurality of wearable sensors comprises an energy harvesting module configured to recharge operational power from ambient light or kinetic motion.
[0030] In light of the above, in one aspect of the present disclosure, a livestock health monitoring system is disclosed herein. The method comprises collecting real-time vital parameter data of a livestock animal using a plurality of wearable sensors. The method includes organizing the collected data into structured packets at a central gateway device operatively connected to the plurality of wearable sensors. The method also includes forwarding the structured packets from the central gateway device through a communication network to a cloud-based processing unit. The method also includes analysing the structured packets at the cloud-based processing unit using anomaly detection algorithms to detect deviations from predefined healthy parameter thresholds. The method also includes generating a health alert at the cloud-based processing unit upon identification of deviations from healthy parameter thresholds. The method also includes delivering the health alert to a user device operatively connected via the communication network. The method also includes logging the health alert and corresponding livestock health data into a local database of the user device. The method also includes displaying real-time livestock-specific health metrics, historical health trends, and alert notifications through a user interface inside the user device.
[0031] These and other advantages will be apparent from the present application of the embodiments described herein.
[0032] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0033] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0035] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0036] FIG. 1 illustrates a block diagram of a livestock health monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure;
[0037] FIG. 2 illustrates a flowchart of a livestock health monitoring system, in accordance with an exemplary embodiment of the present disclosure;
[0038] FIG. 3 illustrates a flowchart of a livestock health monitoring method, in accordance with an exemplary embodiment of the present disclosure;
[0039] FIG. 4 illustrates a flowchart of the working model of a livestock health monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure;
[0040] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0041] The livestock health monitoring system and method thereof is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0042] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0043] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0044] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0045] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0046] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0047] Referring now to FIG. 1 to FIG. 4 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a block diagram of a livestock health monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0048] The system 100 may include a plurality of wearable sensors 102 configured to continuously measure vital parameters of a livestock animal. The system 100 may also include a central gateway device 104 operatively connected to the plurality of wearable sensors 102 and configured to collect real-time health data from the plurality of wearable sensors 102 and format the health data into structured packets. The system 100 may also include a communication network 106 operatively connected to the central gateway device 104 and configured to transmit the structured packets of health data. The system 100 may also include a cloud-based processing unit 108 operatively connected to the communication network 106 configured to receive the structured packets of health data, analyse the structured packets using anomaly detection algorithms, and generate a health alert when a deviation is detected from predefined healthy parameter thresholds. The system 100 may also include a user device 110 operatively connected to the cloud-based processing unit 108 via the communication network 106 and configured to receive the health alert, and store the alert in a local log database. The system 100 may also include a user interface 112 inside the user device 110 configured to display livestock-specific status information visualize real-time health metrics, generate graphical representations of historical data, and allow a user to configure livestock-specific alert thresholds and notification settings.
[0049] The plurality of wearable sensors 102 comprises a geolocation sensor configured to track movement patterns and pasture utilization of the livestock animal.
[0050] The central gateway device 104 comprises a microcontroller and local cache storage configured to temporarily retain sensor data during periods of communication network 106 unavailability.
[0051] The cloud-based processing unit 108 comprises a machine learning engine trained on livestock physiological patterns to dynamically adapt anomaly detection parameters.
[0052] The user device 110 comprises an alert generation module configured to trigger escalated notifications based on severity levels determined by the cloud-based processing unit 108.
[0053] The user device 110 comprises a trend visualization module configured to display graphical summaries of health data trends for individual livestock animals.
[0054] The cloud-based processing unit 108 further comprises a predictive analysis module configured to forecast likely health events based on long-term monitoring data.
[0055] The plurality of wearable sensors 102 further comprises an ambient environment sensor configured to measure surrounding temperature and humidity affecting livestock health.
[0056] The plurality of wearable sensors 102 comprises an energy harvesting module configured to recharge operational power from ambient light or kinetic motion.
[0057] The method 100 may include collecting real-time vital parameter data of a livestock animal using a plurality of wearable sensors 102. The method 100 may also include organizing the collected data into structured packets at a central gateway device 104 operatively connected to the plurality of wearable sensors 102. The method 100 may also include forwarding the structured packets from the central gateway device 104 through a communication network 106 to a cloud-based processing unit 108. The method 100 may also include forwarding the structured packets from the central gateway device 104 through a communication network 106 to a cloud-based processing unit 108. The method 100 may also include analysing the structured packets at the cloud-based processing unit 108 using anomaly detection algorithms to detect deviations from predefined healthy parameter thresholds. The method 100 may also include generating a health alert at the cloud-based processing unit 108 upon identification of deviations from healthy parameter thresholds. The method 100 may also include delivering the health alert to a user device 110 operatively connected via the communication network 106. The method 100 may also include logging the health alert and corresponding livestock health data into a local database of the user device 110. The method 100 may also include displaying real-time livestock-specific health metrics, historical health trends, and alert notifications through a user interface 112 inside the user device 110.
[0058] The plurality of wearable sensors 102 functions as a continuous data acquisition unit configured to monitor the vital parameters of a livestock animal in real time. The plurality of wearable sensors 102 remains attached securely to the body of the livestock animal and measures key physiological indicators such as body temperature, heart rate, respiratory patterns, and movement dynamics without causing discomfort. The plurality of wearable sensors 102 incorporates miniaturized sensing elements fabricated using biocompatible materials to ensure safe and long-term use in diverse climatic and farm environments. The plurality of wearable sensors 102 periodically samples the physiological signals at predetermined intervals and pre-processes the collected signals using embedded signal conditioning circuits to eliminate noise and standardize signal characteristics. The plurality of wearable sensors 102 assigns a unique identification code to each livestock animal and encapsulates the sampled and pre-processed data along with the identification code into transmission packets. The plurality of wearable sensors 102 uses low-power wireless communication protocols to relay the structured packets to the central gateway device 104 without significant energy consumption. The plurality of wearable sensors 102 additionally comprises local buffering capabilities to temporarily store measurements during periods of temporary communication network 106 unavailability. The plurality of wearable sensors 102 operates using integrated energy harvesting modules and low-drift battery systems to enable long-duration autonomous operation. The plurality of wearable sensors 102 also includes environmental adaptation algorithms to maintain sensing accuracy despite external fluctuations such as rain, dust, and movement artefacts. The plurality of wearable sensors 102 thereby provides uninterrupted health monitoring capabilities and delivers vital parameter data necessary for downstream processing stages in the livestock health monitoring system 100.
[0059] The central gateway device 104 operates as a dedicated intermediate processing and aggregation hub configured to interface between the plurality of wearable sensors 102 and the communication network 106. The central gateway device 104 continuously listens for incoming data packets from the plurality of wearable sensors 102 and validates the packet integrity using embedded checksum verification mechanisms. The central gateway device 104 organizes the incoming data into structured storage formats using time stamping and indexing procedures to maintain data continuity and prevent duplication or loss. The central gateway device 104 formats the structured data into communication-compliant packets compatible with the requirements of the communication network 106 for transmission. The central gateway device 104 also buffers the incoming data in on board volatile memory when network availability is interrupted and resumes transmission once communication integrity is restored. The central gateway device 104 includes a local processing core embedded with lightweight algorithms to conduct basic anomaly screening on incoming data and prioritize transmission for critical health events. The central gateway device 104 manages power efficiently through a combination of duty-cycled operation and dynamic transmission power scaling based on distance and signal quality. The central gateway device 104 ensures end-to-end data traceability by preserving the original livestock identification metadata during the data transfer process. The central gateway device 104 supports over-the-air firmware upgrades to maintain compatibility with evolving network protocols and to introduce enhanced security features. The central gateway device 104 thereby plays a vital role in ensuring reliable data collection, pre-processing, and delivery to the cloud-based processing unit 108 through the communication network 106.
[0060] The communication network 106 enables secure, real-time transmission of structured livestock health data from the central gateway device 104 to the cloud-based processing unit 108 and back to the user device 110. The communication network 106 employs a combination of long-range wireless protocols and internet backhaul technologies to maintain low-latency and high-reliability connectivity between system components. The communication network 106 implements robust encryption standards to safeguard sensitive animal health data during transit and uses adaptive transmission strategies to minimize data packet loss under varying environmental conditions. The communication network 106 provides end-to-end acknowledgment mechanisms to ensure successful receipt and integrity verification of transmitted packets. The communication network 106 includes dynamic bandwidth management policies to prioritize health-critical alerts and minimize network congestion. The communication network 106 interfaces seamlessly with cloud infrastructure through standardized application programming interfaces, enabling direct ingestion of livestock health datasets into the cloud-based processing unit 108. The communication network 106 automatically triggers retransmission protocols upon detection of packet loss or transmission error to maintain data consistency. The communication network 106 also provides notification relay services, enabling real-time delivery of health alerts and analytical insights generated by the cloud-based processing unit 108 to the user device 110. The communication network 106 therefore ensures that data flows seamlessly, securely, and reliably between all elements of the livestock health monitoring system 100.
[0061] The cloud-based processing unit 108 serves as the intelligent analytical core of the livestock health monitoring system 100 by receiving structured health data packets from the communication network 106. The cloud-based processing unit 108 organizes incoming health data into livestock-specific databases and applies data cleansing routines to eliminate spurious measurements or corrupted records. The cloud-based processing unit 108 implements advanced anomaly detection algorithms based on supervised and unsupervised machine learning models trained on historical livestock health datasets. The cloud-based processing unit 108 dynamically updates detection models based on continuous learning from incoming real-time data to enhance diagnostic precision and responsiveness. The cloud-based processing unit 108 identifies health deviations early by detecting subtle variations from baseline physiological patterns rather than relying on threshold breaches alone. The cloud-based processing unit 108 generates structured health alerts encapsulating the type, severity, and recommended response for identified anomalies and queues the alerts for dispatch to the user device 110. The cloud-based processing unit 108 implements role-based access control mechanisms to maintain data security and to provide customized visibility to authorized users only. The cloud-based processing unit 108 leverages cloud scalability to handle large volumes of health data without performance degradation and supports historical trend analysis by preserving time-stamped livestock health histories. The cloud-based processing unit 108 enables the generation of predictive health forecasts based on longitudinal trends and anomaly patterns, supporting proactive herd health management.
[0062] The user device 110 acts as the visualization and interaction point for end-users by receiving health alerts, summaries, and reports generated by the cloud-based processing unit 108 through the communication network 106. The user device 110 continuously synchronizes with the cloud-based processing unit 108 to retrieve new health events and updated livestock metrics. The user device 110 stores incoming data in a secure local database to allow offline access to essential livestock information when internet connectivity is unavailable. The user device 110 categorizes incoming health alerts based on predefined severity levels and timestamps and displays them prominently for rapid identification by the end-user. The user device 110 supports customizable notification settings, enabling users to tailor alert preferences based on livestock type, individual animal profiles, or severity classifications. The user device 110 aggregates livestock health data into intuitive dashboards that summarize recent health status, historical trends, and system activity metrics. The user device 110 integrates interactive controls that allow users to annotate health alerts, dismiss false positives, and provide feedback on system predictions to support adaptive learning. The user device 110 provides secure authentication and role-based access to ensure that only authorized personnel can view or modify livestock health records. The user device 110 thereby empowers farmers, veterinarians, and livestock managers with immediate and actionable health intelligence to optimize animal welfare and operational productivity.
[0063] The user interface 112 inside the user device 110 provides a comprehensive visualization platform that organizes incoming livestock health data into accessible, user-friendly formats. The user interface 112 displays real-time physiological parameters such as heart rate, body temperature, and activity levels for each livestock animal monitored by the plurality of wearable sensors 102. The user interface 112 uses graphical elements such as color-coded charts, trend lines, and alert symbols to simplify the interpretation of livestock health status. The user interface 112 present’s predictive analytics insights generated by the cloud-based processing unit 108 in the form of probability forecasts, risk heat maps, and recommended interventions. The user interface 112 provides an interactive configuration panel that allows users to define custom alert thresholds, modify notification methods, and configure reporting schedules. The user interface 112 maintains historical livestock health records in a searchable archive accessible directly through dashboard navigation. The user interface 112 enables the export of livestock health reports in multiple formats such as PDF or CSV to facilitate regulatory compliance and veterinary collaboration. The user interface 112 incorporates Multilanguage support to accommodate users from diverse linguistic backgrounds and includes accessibility features such as adjustable font sizes and contrast settings. The user interface 112 is designed with responsive web technologies, ensuring consistent performance across smartphones, tablets, and desktop devices used for monitoring livestock through the livestock health monitoring system 100.
[0064] FIG. 2 illustrates a flowchart of a livestock health monitoring system, in accordance with an exemplary embodiment of the present disclosure.
[0065] At 202, sensing vital health parameters from livestock animals continuously through a plurality of wearable sensors.
[0066] At 204, aggregating and structuring the captured health data at the central gateway device.
[0067] At 206, relaying the organized health data packets over the communication network for further evaluation.
[0068] At 208, processing the incoming health data at the cloud-based processing unit using anomaly detection mechanisms.
[0069] At 210, triggering a health alert whenever irregularities in livestock parameters are identified.
[0070] At 212, forwarding the generated alert to a user device for local recording and future reference.
[0071] At 214, visualizing real-time livestock health insights and historical patterns via the user interface embedded within the user device.
[0072] FIG. 3 illustrates a flowchart of a livestock health monitoring method, in accordance with an exemplary embodiment of the present disclosure.
[0073] At 302, collecting real-time vital parameter data of a livestock animal using a plurality of wearable sensors.
[0074] At 304, organizing the collected data into structured packets at a central gateway device operatively connected to the plurality of wearable sensors.
[0075] At 306, forwarding the structured packets from the central gateway device through a communication network to a cloud-based processing unit.
[0076] At 308, analysing the structured packets at the cloud-based processing unit using anomaly detection algorithms to detect deviations from predefined healthy parameter thresholds.
[0077] At 310, generating a health alert at the cloud-based processing unit upon identification of deviations from healthy parameter thresholds.
[0078] At 312, delivering the health alert to a user device operatively connected via the communication network.
[0079] At 314, logging the health alert and corresponding livestock health data into a local database of the user device.
[0080] At 316, displaying real-time livestock-specific health metrics, historical health trends, and alert notifications through a user interface inside the user device.
[0081] FIG. 4 illustrates a flowchart of the working model of a livestock health monitoring system and method thereof, in accordance with an exemplary embodiment of the present disclosure.
[0082] At 402, cattle health tracker, the sensor collar monitors and collects data from individual animals.
[0083] At 404, gateway, data is sent to a local monitoring system for aggregation.
[0084] At 406, cloud data access system, data is uploaded to the cloud/loT system for remote access and scalability.
[0085] At 408, personal device/ desktop, dashboards and reports provide actionable insights for better decision-making.
[0086] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0087] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0088] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0089] Disjunctive language such as the phrase “at least one of X, Y, Z,” unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0090] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A livestock health monitoring system (100), the system (100) comprising:
a plurality of wearable sensors (102), configured to continuously measure vital parameters of a livestock animal;
a central gateway device (104), operatively connected to the plurality of wearable sensors (102), and configured to collect real-time health data from the plurality of wearable sensors (102), and format the health data into structured packets;
a communication network (106), operatively connected to the central gateway device (104), and configured to transmit the structured packets of health data;
a cloud-based processing unit (108), operatively connected to the communication network (106), configured to receive the structured packets of health data, analyse the structured packets using anomaly detection algorithms, and generate a health alert when a deviation is detected from predefined healthy parameter thresholds;
a user device (110), operatively connected to the cloud-based processing unit (108), via the communication network (106), and configured to receive the health alert, and store the alert in a local log database;
a user interface (112), inside the user device (110), configured to display livestock-specific status information visualize real-time health metrics, generate graphical representations of historical data, and allow a user to configure livestock-specific alert thresholds and notification settings;
2. The system (100) as claimed in claim 1, wherein the plurality of wearable sensors (102), comprises a geolocation sensor configured to track movement patterns and pasture utilization of the livestock animal.
3. The system (100) as claimed in claim 1, wherein the central gateway device (104), comprises a microcontroller and local cache storage configured to temporarily retain sensor data during periods of communication network (106), unavailability.
4. The system (100) as claimed in claim 1, wherein the cloud-based processing unit (108), comprises a machine learning engine trained on livestock physiological patterns to dynamically adapt anomaly detection parameters.
5. The system (100) as claimed in claim 1, wherein the user device (110), comprises an alert generation module configured to trigger escalated notifications based on severity levels determined by the cloud-based processing unit (108).
6. The system (100) as claimed in claim 1, wherein the user device (110), comprises a trend visualization module configured to display graphical summaries of health data trends for individual livestock animals.
7. The system (100) as claimed in claim 1, wherein the cloud-based processing unit (108), further comprises a predictive analysis module configured to forecast likely health events based on long-term monitoring data.
8. The system (100) claimed in claim 1, wherein the plurality of wearable sensors (102), further comprises an ambient environment sensor configured to measure surrounding temperature and humidity affecting livestock health.
9. The system (100) as claimed in claim 1, wherein the plurality of wearable sensors (102), comprises an energy harvesting module configured to recharge operational power from ambient light or kinetic motion.
10. A livestock health monitoring method (100) comprising:
collecting real-time vital parameter data of a livestock animal using a plurality of wearable sensors (102);
organizing the collected data into structured packets at a central gateway device (104), operatively connected to the plurality of wearable sensors (102);
forwarding the structured packets from the central gateway device (104), through a communication network (106), to a cloud-based processing unit (108);
analysing the structured packets at the cloud-based processing unit (108), using anomaly detection algorithms to detect deviations from predefined healthy parameter thresholds;
generating a health alert at the cloud-based processing unit (108), upon identification of deviations from healthy parameter thresholds;
delivering the health alert to a user device (110), operatively connected via the communication network (106);
logging the health alert and corresponding livestock health data into a local database of the user device (110);
displaying real-time livestock-specific health metrics, historical health trends, and alert notifications through a user interface (112), inside the user device (110).