INTELLIGENT CROP SECURITY SYSTEM USING DECENTRALIZED ANIMAL DETECTION AND DETERRENCE

Abstract

The present invention provides an intelligent crop security system using decentralized animal detection and deterrence. The Intelligent Crop Security System provides a more effective, environmentally conscious, and community-focused approach to crop protection. By combining IoT, AI, and block chain, it offers a flexible, adaptive, and collaborative solution, setting it apart from traditional methods in both functionality and sustainability. This system helps farmers protect crops while promoting coexistence with wildlife and enhancing trust in the data used for decision-making. Figure 1

Specification

Description:FIELD OF THE INVENTION
[001] The present invention relates to the field of crop security systems, and more particularly, the present invention relates to the intelligent crop security system using decentralized animal detection and deterrence.
BACKGROUND FOR THE INVENTION:
[002] The following discussion of the background to the invention is intended to facilitate an understanding of the present invention. However, it should be appreciated that the discussion is not an acknowledgment or admission that any of the material referred to was published, known, or part of the common general knowledge in any jurisdiction as of the priority date of the application. The details provided herein the background if belongs to any publication is taken only as a reference for describing the problems, in general terminologies or principles or both of science and technology in the associated prior art.
[003] Farmers worldwide face the constant challenge of protecting their crops from wild animals, which can cause significant damage by trampling, grazing, or digging up crops. This is especially difficult in regions near forests or wildlife habitats where wild animals like deer, boars, or monkeys frequently enter farmland. Traditional methods for protecting crops have limitations and drawbacks:
[004] Physical Barriers: Farmers often use fences or walls to keep animals out, but these can be expensive, and many animals eventually learn to bypass or jump over them. Physical barriers can also block animal movement, disrupting local ecosystems and wildlife paths.
[005] Chemical Deterrents: Some farmers use repellents or chemical sprays to deter animals. However, these can harm plants, soil, and beneficial insects, and may even enter the food supply. Over time, animals may also grow accustomed to these chemicals, reducing their effectiveness.
[006] Manual Scare Tactics: Many farmers use scarecrows, loud noises, or even guard dogs to frighten animals away. However, these tactics require constant human attention, can be labor-intensive, and may not be reliable, especially if animals return during the night when no one is around.
[007] Electric Fences: Electric fencing is effective in many cases but presents safety risks for humans, domestic animals, and wildlife. It can also be costly to install and maintain, especially for large farms.
[008] In light of the foregoing, there is a need for the intelligent crop security system using decentralized animal detection and deterrence that overcomes problems prevalent in the prior art.
OBJECTS OF THE INVENTION:
[009] Some of the objects of the present disclosure, which at least one embodiment herein satisfies, are as follows.
[010] The principal object of the present invention is to overcome the disadvantages of the prior art by providing the Intelligent crop security system using decentralized animal detection and deterrence.
[011] An object of the present invention is to provide the Intelligent crop security system using decentralized animal detection and deterrence that provides an innovative, safe, and cost-effective solution for crop protection
[012] Another object of the present invention is to provide the intelligent crop security system using decentralized animal detection and deterrence that uses sensors and cameras placed around the farm to detect when an animal approaches. It can identify the species of the animal using AI image recognition, allowing for customized deterrence. This means the system can respond appropriately without relying on harmful chemicals or electric shocks.
[013] Another object of the present invention is to provide the intelligent crop security system using decentralized animal detection and deterrence, wherein the system can activate specific deterrents, like lights or sounds that are known to repel that particular animal. For example, certain sounds or light patterns work better for deer than for birds. This tailored response makes the deterrent more effective and reduces the need for human involvement.
[014] Another object of the present invention is to provide the intelligent crop security system using decentralized animal detection and deterrence, wherein farms in the same area can connect to a decentralized network where they share real-time alerts. If an animal is detected on one farm, other nearby farms is warned in advance. This early-warning system allows farmers to prepare and implement preventive measures, creating a collective defence without requiring continuous personal monitoring.
[015] Another object of the present invention is to provide the intelligent crop security system using decentralized animal detection and deterrence, wherein all data on animal sightings and deterrence outcomes are securely stored in a decentralized system, which can be reviewed by farmers to understand wildlife patterns and refine deterrent methods. Over time, the system learns from this data, improving its accuracy and efficiency in predicting and deterring animals.
[016] Other objects and advantages of the present disclosure will be more apparent from the following description, which is not intended to limit the scope of the present disclosure.
SUMMARY OF THE INVENTION:
[017] The present invention provides intelligent crop security system using decentralized animal detection and deterrence that is designed to help farmers protect their crops from animals that might wander into farmland and cause damage. Imagine a system that acts as a "smart shield" around farms, detecting animals that come too close and guiding them away gently without harming them. This system uses small sensors placed around the farm to notice if any animal is approaching. Once an animal is detected, the system figures out what type of animal it is and decides on the best way to gently scare it away. For example, if it detects a deer, it might play sounds or flash lights that are known to make deer turn away.
[018] What makes this invention unique is that it isn't just for one farm. Instead, farms in the same area can connect to this system and help each other out. So, if an animal approaches one farm, nearby farms will also be alerted, and they can prepare to deter the animal if it gets closer to their crops. Think of it like a neighbourhood watch for farms, where everyone is looking out for each other's crops.
[019] This system also keeps track of all animal sightings and actions it takes. This information is safely stored so that farmers can look back and see patterns, like which animals visit most often or what times of day are most risky. Over time, the system learns which methods work best to keep animals away and can get better at protecting crops.
[020] For example, let's say a farmer in the area gets an alert that a wild boar is approaching. The system quickly sends messages to nearby farms, so they know to prepare. The system can then use a sound or light that it knows will turn the boar away, reducing the chance of crop damage.
[021] The novelty of this invention lies in its smart, community-based approach to crop protection, using advanced technology to provide safe, eco-friendly, and highly effective deterrents against wild animals. Here are the essential novel elements:
[022] Custom Deterrent Responses Based on Animal Type: Unlike typical methods that use a "one-size-fits-all" approach to deter animals (like generic sounds or fences), this system uses AI to recognize the specific type of animal approaching the farm. It then selects a tailored response for that animal. For example, if a deer is detected, the system may emit a particular sound frequency or flash specific light patterns that are especially effective for deterring deer, while it might use different signals for boars or monkeys. This precise approach improves the chances of effectively scaring animals away without needing strong physical barriers or harming the wildlife.
[023] Decentralized, Shared Alert System for Neighboring Farms: This invention goes beyond individual farm protection by creating a network where nearby farms can share alerts with each other. When an animal is detected on one farm, the system sends notifications to other farms in the vicinity, giving them time to prepare and activate their own deterrents if needed. This "neighborhood watch" system for farms is unique, as it allows multiple farms to collaborate on crop protection without constant manual monitoring. This is especially helpful in regions where wildlife moves frequently between neighboring fields.
[024] Learning System with Data Storage for Continuous Improvement: The invention includes a secure data storage system that records all interactions, including the types of animals detected and the deterrents used. Over time, the system analyzes this data to learn which deterrents are most effective for different animals, refining its responses based on actual field experience. For example, if it finds that a particular sound works better at night for deterring boars, it will adjust accordingly. This self-improving feature makes the system smarter and more efficient as it gains experience.
[025] Block chain-Based Transparency and Trust: By storing animal sightings and response actions on a block chain, this system ensures that data is securely shared and stored. Farmers and local wildlife agencies can access reliable records of animal activity and crop protection efforts, which can help in understanding wildlife patterns and developing further solutions. This aspect of transparency and data security is particularly novel for crop protection, as it allows for both individual and community use in a secure, trust-based way.
[026] Overall, this invention helps farmers keep their crops safe in a way that's friendly to animals, reduces costs by allowing farms to work together, and gives farmers valuable information for the future.

BRIEF DESCRIPTION OF DRAWINGS:
[027] Reference will be made to embodiments of the invention, examples of which may be illustrated in accompanying figures. These figures are intended to be illustrative, not limiting. Although the invention is generally described in the context of these embodiments, it should be understood that it is not intended to limit the scope of the invention to these particular embodiments.
[028] Figure 1 shows High Level Architecture;
[029] Figure 2 shows sensor placement and data flow;
[030] Figure 3 shows detection to deterrent process flowchart;
[031] Figure 4 shows interconnected farms sharing alerts; and
[032] Figure 5 shows feedback loop for AI learning.
DETAILED DESCRIPTION OF DRAWINGS:
[033] 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 the 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 claim.
[034] 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 are 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 are 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 these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.
[035] 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.
[036] The present invention is described hereinafter by various embodiments with reference to the accompanying drawing, 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, several 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.
[037] The present invention provides intelligent crop security system using decentralized animal detection and deterrence.
[038] Introduction: This invention, titled "Intelligent Crop Security System Using Decentralized Animal Detection and Deterrence", is designed to protect farmland from wildlife intrusion in a safe and eco-friendly way. By integrating IoT, AI, and block chain technologies, the system intelligently detects and identifies animals approaching the farm, selecting appropriate deterrents and notifying neighboring farms to form a community-wide defense. This approach avoids harmful barriers or chemicals, instead relying on adaptable deterrents based on specific animal behavior.
[039] The system consists of:
- IoT Sensors and Cameras: Placed around the farm perimeter to detect movement and capture images for identification.
- Central Control Unit (CCU): A hub processing sensor data, analyzing images through AI, and triggering deterrents.
- Deterrent Mechanisms: Includes lights, sounds, and scents configured to deter specific animals.
- Blockchain Network: Stores data from animal encounters and shares alerts with other connected farms.
- AI Module: Continuously learns from new data to enhance animal recognition and deterrent effectiveness.
[040] Component Descriptions:
- IoT Sensors and Detectors: Motion and infrared sensors detect animal movement, activating cameras to capture images for identification. These sensors are strategically placed to maximize coverage and avoid "blind spots."
- AI-Powered Animal Detection and Recognition Module: Images from sensors are analyzed by AI, which identifies the animal species. Based on the species, the AI selects deterrents effective for that animal. For instance, if a boar is detected, the AI might activate loud sounds and flashing lights.
- Custom Deterrent Mechanisms: Each deterrent is designed to target a specific animal type, ensuring minimal environmental disruption. Deterrents are non-lethal and eco-friendly, deterring animals without physical barriers.
- Blockchain for Data Storage and Alerts: A decentralized ledger stores encounter data securely, enabling transparency and cooperation between farms. Blockchain ensures that alerts and animal activity data are secure and trustworthy.
[041] System Operation Workflow:
[042] When an animal approaches the farm, the following steps occur:
- Detection: IoT sensors detect movement near the farm perimeter.
- Identification: Cameras capture images, which are processed by AI to identify the animal species.
- Deterrent Selection and Activation: Based on the animal type, the system activates a deterrent (e.g., lights for deer, sounds for boars).
- Alert Sharing: The encounter is recorded on the blockchain, and nearby farms are alerted.
[043] Inter-Farm Decentralized Alert Network: Multiple farms in a region connect via a decentralized network. When one farm detects an animal, it can notify other nearby farms, giving them time to prepare their deterrents. Each farm has its own settings and deterrent preferences, yet they benefit from early warnings.
[044] Data Logging and Continuous Learning: Data from each animal encounter is stored on the block chain, providing a secure record for analyzing animal behavior patterns over time. The AI uses this data to improve its understanding of animal responses to different deterrents, continuously learning and adapting.
[045] The Intelligent Crop Security System offers several advantages over existing crop protection technologies, combining IoT, AI, and block chain to create an innovative, adaptable, and community-based approach to farm security. Here are some key advantages:
[046] Eco-Friendly, Non-Invasive Approach:
- Existing Methods: Traditional solutions like electric fences, chemical repellents, or physical barriers can harm both wildlife and the environment. Electric fences pose risks to animals and humans, while chemicals can affect soil health and non-target species.
- Advantage: This system is non-invasive, using tailored, non-lethal deterrents (like lights, sounds, or scents) based on the detected animal species. It promotes harmony between farming and wildlife conservation.
[047] Adaptive, Intelligent Deterrents with AI:
- Existing Methods: Conventional deterrents are often one-size-fits-all, such as generic sounds or scarecrows. They can lose effectiveness over time as animals get accustomed to them.
- Advantage: The AI-driven system identifies the specific animal and selects deterrents most effective for that species. This targeted approach improves effectiveness and reduces the chance that animals will adapt to or ignore deterrents.
[048] Real-Time, Decentralized Alert Network for Neighboring Farms:
- Existing Methods: Current systems are often standalone, limited to a single farm's operations without regional connectivity, leaving farms isolated and unable to respond to threats collectively.
- Advantage: This system connects multiple farms in a decentralized network. When an animal is detected on one farm, alerts are automatically sent to neighboring farms, allowing them to prepare and act proactively. This collaborative "neighborhood watch" system enhances protection across a wider area.
[049] Data-Driven Learning and Continuous Improvement:
- Existing Methods: Traditional systems are often static and lack adaptability. Farmers may need to manually adjust deterrents, relying on trial and error without clear insights into what's working or why.
- Advantage: The system uses blockchain to securely store data on animal encounters and deterrent effectiveness. AI analyzes this data over time, learning from each encounter to improve the selection and timing of deterrents. This creates a self-improving system that grows more effective as it gathers data, reducing the need for manual adjustments.
[050] Transparency and Trust with Blockchain:
- Existing Methods: Conventional monitoring systems may not offer a reliable or tamper-proof way to store data, making it difficult for farmers to analyze historical data or share information with stakeholders.
- Advantage: By using blockchain for data storage, this system ensures transparent, tamper-proof records of animal activity and deterrent actions. Farmers and stakeholders can trust the data's integrity, making it easier to review patterns and understand the system's performance over time.
[051] Cost-Effective and Scalable Solution:
- Existing Methods: Physical barriers or electric fences can be costly to install and maintain, especially for large or irregularly shaped farms. They also require regular upkeep and replacement.
- Advantage: The IoT and AI-based system is cost-effective, using minimal hardware and leveraging software for adaptive responses. The decentralized network allows costs to be shared among farms, making it affordable for small and large farms alike. The system is easily scalable, with additional sensors and farms added to the network as needed.
[052] Supporting Biodiversity and Sustainable Farming:
- Existing Methods: Many traditional methods disrupt local ecosystems, such as preventing natural wildlife movement or introducing harmful chemicals that impact biodiversity.
- Advantage: This system respects animal behavior and habitats, creating a sustainable farming approach that minimizes impact on the ecosystem. The targeted, animal-specific deterrents ensure that wildlife is guided away without harm, supporting both agriculture and biodiversity.
[053] The disclosure has been described with reference to the accompanying embodiments herein and the various features and advantageous details thereof are explained with reference to the non-limiting embodiments in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein.
[054] The foregoing description of the specific embodiments so fully revealed the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the scope of the embodiments as described herein.
, Claims:1) An intelligent crop security system for detecting and deterring wildlife intrusion in farmland, the system comprising:
- a network of IoT sensors and cameras placed along the perimeter of the farmland to detect movement and capture images,
- a central control unit (CCU) that processes data from the sensors and cameras, identifying animal species through an AI module,
- a plurality of deterrent mechanisms configured to activate based on the identified animal species, and
- a block chain network for securely logging data on animal encounters and sharing alerts with connected farms in real time.
2) The system as claimed in Claim 1, wherein the IoT sensors include motion sensors and infrared detectors to maximize detection accuracy and minimize false alarms, and wherein the cameras are triggered by sensor data to capture real-time images of detected wildlife.
3) The system as claimed in Claim 1, wherein the AI module processes captured images to identify specific animal species, and selects a deterrent mechanism optimized for that species, such as lights, sounds, or scents, thereby reducing the likelihood of animals becoming habituated to the deterrents.
4) The system as claimed in Claim 1, wherein system further comprising a decentralized alert system configured to notify neighboring farms in response to wildlife detection, thereby enabling a community-wide deterrent network where each farm can independently configure deterrent settings.
5) The system as claimed in Claim 1, wherein the block chain network stores each animal encounter as an immutable record, ensuring data integrity and transparency, enabling farms to track animal activity patterns and adjust deterrent strategies over time.
6) The system as claimed in Claim 1, wherein the AI module continuously learns from new data recorded on the block chain to improve its animal identification accuracy and deterrent selection, creating an adaptive system that enhances deterrence effectiveness over time.
7) The system as claimed in Claim 1, wherein the deterrent mechanisms are customizable for each farm in the network, allowing farmers to select deterrent preferences based on the types of wildlife common to their area and ecological considerations.
8) The system as claimed in Claim 1, the system further comprising a user interface for monitoring real-time alerts, reviewing historical data stored on the blockchain, and modifying deterrent settings, enabling farmers to optimize and control the system based on changing wildlife patterns and farming needs.

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