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AUTOMATED NUTRITIONAL DELIVERY SYSTEM

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AUTOMATED NUTRITIONAL DELIVERY SYSTEM

ORDINARY APPLICATION

Published

date

Filed on 6 November 2024

Abstract

This invention provides an AI-enabled nutritional delivery system for livestock, using IoT sensors to continuously monitor health metrics and dynamically adjust feeding schedules. By optimizing feed delivery based on real-time data, the system enhances animal health, reduces waste, and supports sustainable farming practices.

Patent Information

Application ID202411084870
Invention FieldMECHANICAL ENGINEERING
Date of Application06/11/2024
Publication Number46/2024

Inventors

NameAddressCountryNationality
ANKITLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia
DR. ROBIN PRAKASH MATHURLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia
DR. ARUN MAILKLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI G.T. ROAD, PHAGWARA, PUNJAB-144 411, INDIA.IndiaIndia

Specification

Description:FIELD OF THE INVENTION
This invention relates to precision agriculture and livestock management technology, focusing on an automated nutritional delivery system. Leveraging AI and IoT, the system autonomously adjusts feeding schedules and portion sizes based on real-time health data of each animal, enhancing productivity, health, and operational efficiency in livestock farming.
BACKGROUND OF THE INVENTION
Traditional livestock feeding practices are often static, relying on set schedules and portion quantities. This approach can lead to issues like overfeeding or underfeeding, impacting animal health and farm productivity. Additionally, manual feeding is labor-intensive and less responsive to the specific needs of each animal. Current systems lack the capability to continuously monitor health indicators or adjust nutrition dynamically based on real-time data. This invention addresses these challenges by introducing an AI-enabled automated nutritional delivery system that optimizes feeding practices according to individual animal health metrics, such as weight, activity level, and vital signs. Using IoT sensors, the system provides real-time monitoring and personalized feeding adjustments, promoting animal health and enhancing farm profitability through reduced waste and labor costs.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The invention provides an AI-enabled automated nutritional delivery system for livestock, utilizing IoT sensors to continuously monitor vital signs, feed consumption, and activity levels. By analyzing this data in real-time, the system dynamically adjusts feeding schedules and portion sizes to meet each animal's specific nutritional needs. Key components include a vital signs monitor, which tracks temperature, pulse, respiration, and blood pressure, and feed consumption sensors that estimate feed intake and monitor feed levels. This autonomous, responsive approach improves animal health and minimizes feed wastage, making it a cost-effective solution for sustainable livestock management.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: ILLUSTRATES THE SENSOR PLACEMENT ON ANIMALS FOR TRACKING VITAL SIGNS, WEIGHT, AND ACTIVITY LEVEL.
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein 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 scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The Automated Nutritional Delivery System introduces a data-driven approach to livestock feeding, ensuring precise and optimized nutrition delivery based on real-time health metrics. The system utilizes advanced IoT sensors to monitor key parameters, including weight, activity level, and essential health indicators like temperature, pulse, respiration, and blood pressure. The collected data is analyzed using AI algorithms, which determine optimal feeding schedules and portion sizes tailored to each animal's unique requirements.
A vital component of the system is the feed consumption sensor, which accurately monitors feed levels and individual intake patterns. By evaluating feed consumption and vital signs together, the system provides a comprehensive understanding of each animal's health status, enabling proactive adjustments in feeding. For example, if an animal's activity level or weight suggests reduced nutritional requirements, the system will automatically reduce feed portions to prevent overfeeding. Conversely, if an animal shows increased activity or signs of growth, the system can increase portions accordingly.
The system includes an intuitive interface that allows farmers to monitor animal health and adjust settings remotely, making it especially valuable for large-scale operations. Data is accessible through a centralized dashboard, which offers insights into each animal's health and feeding history, supporting informed decision-making and long-term health tracking. The autonomous adjustments facilitated by AI contribute to enhanced animal welfare, reduced labor costs, and minimized feed wastage, aligning with sustainable farming practices.
, Claims:1. An automated nutritional delivery system for livestock, comprising IoT sensors for monitoring vital signs, feed consumption, and activity levels, designed to optimize feeding schedules based on real-time health data.
2. The system as claimed in Claim 1, wherein a vital signs monitor tracks temperature, pulse, respiration, and blood pressure, enabling health-responsive adjustments in feeding.
3. The system as claimed in Claim 1, wherein feed consumption sensors monitor feed intake and feed levels, allowing for precise estimation of feeding needs for each animal.
4. The system as claimed in Claim 1, wherein AI algorithms analyze data from IoT sensors to dynamically adjust feeding schedules and portion sizes, enhancing animal health and productivity.
5. The system as claimed in Claim 1, further comprising a user interface for remote monitoring and control, enabling farmers to oversee animal health and feeding status in real-time.
6. A method for autonomous livestock feeding as claimed in Claim 1, involving continuous monitoring of vital signs and feeding metrics to optimize nutrition delivery.
7. The system as claimed in Claim 1, designed to minimize feed wastage and labor costs by providing personalized nutrition adjustments for each animal based on real-time data.
8. The system as claimed in Claim 1, supporting sustainable farming practices by optimizing resource use and reducing environmental impact through precision feeding.

Documents

NameDate
202411084870-COMPLETE SPECIFICATION [06-11-2024(online)].pdf06/11/2024
202411084870-DECLARATION OF INVENTORSHIP (FORM 5) [06-11-2024(online)].pdf06/11/2024
202411084870-DRAWINGS [06-11-2024(online)].pdf06/11/2024
202411084870-EDUCATIONAL INSTITUTION(S) [06-11-2024(online)].pdf06/11/2024
202411084870-EVIDENCE FOR REGISTRATION UNDER SSI [06-11-2024(online)].pdf06/11/2024
202411084870-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [06-11-2024(online)].pdf06/11/2024
202411084870-FORM 1 [06-11-2024(online)].pdf06/11/2024
202411084870-FORM FOR SMALL ENTITY(FORM-28) [06-11-2024(online)].pdf06/11/2024
202411084870-FORM-9 [06-11-2024(online)].pdf06/11/2024
202411084870-POWER OF AUTHORITY [06-11-2024(online)].pdf06/11/2024
202411084870-REQUEST FOR EARLY PUBLICATION(FORM-9) [06-11-2024(online)].pdf06/11/2024

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