AI ENHANCED AQUA DRONE BASED ON FISH FEEDING

Abstract

The present invention relates to an AI-enhanced Aqua Drone Based on Fish Feeding. The present invention comprises a drone body made of lightweight and durable materials, a food dispenser mechanism attached to the drone body, the dispenser comprising a container for storing fish feed and a mechanism for releasing the feed in controlled and a pre-programmed feeding schedule, the dispenser further configured to prevent overfeeding and reduce feed waste; a GPS navigation system configured to guide the drone along predefined feeding routes across a water body, ensuring uniform distribution of food, wherein the feeding routes are input or modified by users via a mobile or web-based app; a control system, operatively connected to the drone, that allows users to set feeding schedules, adjust routes, monitor drone performance, the control system is configured to send alerts and notifications regarding battery life, maintenance needs, and detected environmental anomalies. Accompanied Drawing [FIG. 1]

Specification

Description:[001] The present disclosure, in general, relates to the technical field of artificial intelligence (AI). More specifically, the present invention relates to an AI-Enhanced Aqua Drone Based on Fish Feeding.
BACKGROUND OF THE INVENTION
[002] The following description provides the information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[003] In the aquaculture industry, proper fish feeding is crucial to maintaining healthy fish populations, ensuring efficient growth, and maximizing productivity. Traditionally, fish feeding has been done manually or through automated stationary feeders, but these methods have limitations in terms of precision, feed distribution, and adaptability. Manual feeding is labour-intensive and prone to human error, while stationary feeders may lead to uneven food distribution and overfeeding, which in turn causes water contamination and poor water quality.
[004] With the rise of precision farming and the need for sustainable practices, aquaculture has seen a shift towards more efficient, automated systems for fish feeding. Effective feed management not only optimizes fish growth but also reduces costs, minimizes environmental impact, and improves overall water health by preventing the accumulation of uneaten feed. However, traditional automated systems often lack the intelligence and flexibility needed to adapt feeding strategies based on real-time environmental conditions, fish behaviour, and changing farm dynamics.
[005] In large-scale aquaculture, fish feeding is inefficient, and prone to inconsistencies, leading to overfeeding, underfeeding, and feed wastage. These challenges result in poor fish growth, increased operational costs, and deteriorating water quality. Additionally, monitoring key environmental factors like water temperature and oxygen levels is difficult, affecting the overall health of the fish. Recent advancements in artificial intelligence (AI), drone technology, and environmental monitoring sensors provide new solutions for fish feeding in aquaculture.
[006] Accordingly, to overcome the prior art limitations based on aforesaid facts. The present invention provides an AI-Enhanced Aqua Drone Based on Fish Feeding. Therefore, it would be useful and desirable to have a system, method and apparatus to meet the above-mentioned needs.

SUMMARY OF THE PRESENT INVENTION
[007] The Fish Feeding Drone is an innovative solution designed to automate and optimize the process of feeding fish in large-scale aquaculture farms, lakes, or remote water bodies. The primary goal is to increase efficiency, reduce manual labour, and ensure consistent feeding schedules, which in turn improves the overall health and growth rate of the fish.
[008] Equipped with a GPS-based navigation system, the drone autonomously flies over designated water areas, dispersing food at pre-set intervals and quantities based on fish species and farm requirements. The system can be controlled via a mobile application, which allows farmers to monitor feeding activity in real time, adjust feeding schedules, and track drone performance.
[009] A fish feeding drone provides an automated, precise solution for aquaculture by dispersing food at scheduled intervals, reducing labour and feed wastage. To prevent fish deaths caused by a lack of food, we are utilizing drone technology to automate and optimize the feeding process. By using sensors, we can continuously monitor critical aspects of the pond environment, including water quality, temperature, and oxygen levels.
[010] The Drones equipped with AI algorithms can offer a more dynamic, accurate, and efficient approach to feeding fish. These drones can cover large water bodies, distribute food evenly, and monitor both the fish and the environment, adjusting feeding patterns in real time based on data from sensors and cameras. They enable remote monitoring and control, automate repetitive tasks, and provide valuable insights into fish health and water quality. Additionally, integrating GPS navigation allows the drones to follow pre-programmed routes for consistent feeding coverage, while on board environmental sensors can track key water parameters such as temperature, oxygen levels, and pH.
[011] In this respect, before explaining at least one object of the invention in detail, it is to be understood that the invention is not limited in its application to the details of the set of rules and to the arrangements of the various models set forth in the following description or illustrated in the drawings. The invention is capable of other objects and of being practiced and carried out in various ways, according to the need of that industry. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[013] The invention will be better understood and objects other than those set forth above will become apparent when consideration is given to the following detailed description thereof. Such description makes reference to the annexed drawings wherein:
[014] FIG. 1, illustrates a , in accordance with an embodiment of the present invention.
[015] FIG. 2, demonstrate an AI-enhanced fish feeding drone, in accordance with an embodiment of the present invention.

DETAILED DESCRIPTION OF THE INVENTION
[016] While the present invention is described herein by way of example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the embodiments of drawing or drawings described and are not intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout this description, the word "may" is used in a permissive sense (i.e. meaning having the potential to), rather than the mandatory sense, (i.e. meaning must). Further, the words "a" or "an" mean "at least one" and the word "plurality" means "one or more" unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope. Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like is included in the specification solely for the purpose of providing a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or are common general knowledge in the field relevant to the present invention.
[017] In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same composition, element or group of elements with transitional phrases "consisting of", "consisting", "selected from the group of consisting of, "including", or "is" preceding the recitation of the composition, element or group of elements and vice versa.
[018] The present invention is described hereinafter by various embodiments with reference to the accompanying drawings, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the scope of the invention.
[019] The development of AI-enhanced aqua drones addresses the growing need for intelligent, automated fish-feeding systems that not only improve feed efficiency but also contribute to the overall health and sustainability of aquaculture operations. The Fish Feeding Drone is an automated aerial system designed specifically for the aquaculture industry to assist in feeding fish in large ponds, lakes, or fish farms. It eliminates the need for manual feeding, providing a more efficient, precise, and scalable feeding solution that enhances fish health and reduces feed wastage. The drone can operate in both freshwater and marine environments, and its smart technology ensures that feeding schedules are optimized based on real-time data and environmental conditions.
[020] In accordance with an embodiment of the present invention, the key Components include the Drone Body which is Built with lightweight and durable materials, the drone is designed to withstand various environmental conditions, including wind and rain. It is equipped with waterproof components to ensure functionality in wet environments near water bodies. A Food Dispenser Mechanism, where a specially designed container that holds fish feed (pellets or flakes) is attached to the drone. The dispenser releases food in controlled amounts, depending on the fish's nutritional needs and the pre-programmed feeding schedule. The dispensing mechanism prevents overfeeding, reducing feed waste and maintaining water quality.
[021] In accordance with another embodiment of the present invention, the GPS Navigation System where the drone uses a GPS system to navigate predefined feeding routes across the pond or farm, ensuring uniform distribution of food across the designated area. Farmers can input or modify these routes via a mobile app or a desktop interface, ensuring coverage of the entire water body. Equipped with cameras, the drone can capture real-time footage of the fish and the water surface. Additionally, it uses environmental sensors to measure water parameters such as temperature, pH levels, and oxygen concentration, ensuring the feed is delivered under optimal conditions.
[022] In accordance with another embodiment for the present invention, the Mobile and Web Application: The fish feeding drone is controlled and monitored through a mobile or web-based app. Users can set feeding schedules, adjust routes, monitor drone performance, and track historical data on feeding patterns. The app also allows farmers to receive alerts and notifications regarding battery life, maintenance needs, and environmental anomalies. The drone is powered by high-capacity batteries that support multiple feeding sessions on a single charge. Additionally, solar panels can be integrated for charging, especially in remote or off-grid fish farms, extending the drone's operational time.
[023] In accordance with another embodiment for the present invention, the AI-enhanced drones equipped with cameras can visually monitor fish behaviour, identifying signs of hunger or stress. This data can be used to adjust the feeding amount and timing, leading to improved feed utilization and healthier fish populations. By employing AI algorithms, the drone can learn from the feeding patterns and behaviour of the fish, further refining its operations over time for better outcomes. Energy efficiency is also a key consideration for these drones. High-capacity batteries support multiple feeding sessions on a single charge, while solar panel integration allows for extended operational time, particularly in remote or off-grid locations. This ensures that the drone can operate sustainably without constant human intervention or reliance on external power sources.
[024] In accordance with another embodiment for the present invention, the advantages are such as Automated drones ensure regular feeding schedules, preventing underfeeding or overfeeding, which leads to better fish growth and reduced waste. Drones reduce the need for manual labour, lowering operational costs and allowing for more efficient farm management. The drone dispenses food in controlled amounts, minimizing feed wastage and improving food utilization. Sensors provide continuous data on water quality, temperature, and oxygen levels, allowing for proactive management of the pond environment. With better feeding practices and optimal environmental conditions, fish are healthier and less prone to diseases. The system is scalable for large or remote fish farms, making it suitable for a wide range of aquaculture operations. The integration of AI and machine learning allows for informed decision-making, optimizing feeding patterns and pond conditions for maximum efficiency.
[025] Fish-feeding drones are innovative tools designed to automate the feeding of fish in aquaculture. Drones can deliver feed more quickly and accurately than manual feeding methods, reducing labour costs and time. They can target specific areas, ensuring that feed is distributed evenly and minimizing waste. Many drones are equipped with cameras and sensors that allow farmers to monitor fish behaviour and health in real time. Drones can gather data on water quality and fish growth, helping to optimize feeding schedules and improve overall farm management. By reducing feed waste and minimizing the impact on water quality, drones can contribute to more sustainable aquaculture practices. Drones can access hard-to-reach areas, making them useful for farms with irregular shapes or those located in remote locations. Over time, the initial investment in a drone can lead to savings in feed costs and labour.
[026] It is to be understood that the above description is intended to be illustrative, and not restrictive. For example, the above-discussed embodiments may be used in combination with each other. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description.
[027] The benefits and advantages which may be provided by the present invention have been described above with regard to specific embodiments. These benefits and advantages, and any elements or limitations that may cause them to occur or to become more pronounced are not to be construed as critical, required, or essential features of any or all of the embodiments.
[028] While the present invention has been described with reference to particular embodiments, it should be understood that the embodiments are illustrative and that the scope of the invention is not limited to these embodiments. Many variations, modifications, additions and improvements to the embodiments described above are possible. It is contemplated that these variations, modifications, additions and improvements fall within the scope of the invention.
, Claims:1. An AI-enhanced aqua drone system for fish feeding, comprising:
a drone body made of lightweight and durable materials, the drone being designed to withstand environmental conditions such as wind and rain, and is equipped with waterproof components to ensure functionality near water bodies;
a food dispenser mechanism attached to the drone body, the dispenser comprising a container for storing fish feed and a mechanism for releasing the feed in controlled amounts based on the nutritional needs of the fish and a pre-programmed feeding schedule, the dispenser further configured to prevent overfeeding and reduce feed waste;
a GPS navigation system configured to guide the drone along predefined feeding routes across a water body, ensuring uniform distribution of food, wherein the feeding routes are input or modified by users via a mobile or web-based app;
at least one camera mounted on the drone, configured to capture real-time footage of the fish and the water surface, and environmental sensors integrated into the drone for measuring water parameters including temperature, pH levels, and oxygen concentration, to ensure feeding occurs under optimal conditions;
a control system, operatively connected to the drone, that allows users to set feeding schedules, adjust routes, monitor drone performance, and track historical data on feeding patterns via a mobile or web-based application, the control system is configured to send alerts and notifications regarding battery life, maintenance needs, and detected environmental anomalies;
a power supply comprising high-capacity batteries capable of supporting multiple feeding sessions on a single charge, with optional integration of solar panels for recharging, enabling extended operational time in remote or off-grid environments.

2. The aqua drone system as claimed in claim 1, wherein the food dispenser mechanism is further equipped with sensors to detect the amount of feed left in the container and automatically notify the user when the feed level is low.

3. The aqua drone system as claimed in claim 1, wherein the GPS navigation system is programmed to calculate the most efficient feeding route based on water body size, fish population, and feeding patterns, and dynamically adjust routes in real-time as needed.

4. The aqua drone system as claimed in claim 1, wherein the mobile or web-based application provides users with visual and statistical data, including real-time drone footage, historical feeding patterns, water quality metrics, and operational status of the drone.

5. The aqua drone system as claimed in claim 1, wherein the GPS allows for geo-fencing, enables the drone to operate only within predefined areas of the water body and prevents it from exceeding set boundaries.

6. The aqua drone system as claimed in claim 1, wherein the feeding schedule is optimized based on real-time data collected from the environmental sensors and cameras, allows for adaptive feeding patterns based on changing conditions such as fish activity, water quality, and time of day.

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