Description:Field of Invention
The present invention system which is based on the Internet of Things to protect the crops from animals.

The Objectives of this Invention
Agriculture is the fundamental part in the improvement of horticultural nation. In India around 70% of masses depends on developing and 33% of the nation's capital starts from developing. In this paper we are giving a successful answer for agriculturists. Without any human interpretation the warding off the animals over their crop fields and orchards can be controlled, and the protection of the crop fields is done by using some consequently controlled ultrasonic creature repellent ringers, IR Sensor and Raspberry pi this system is been used.
Background of the Invention
In (US2017/109788731A), The current invention effectively pertains to agents used in agricultural in accordance with particular knowledge of applied agents and about utilized agents, some areas are prepared specially, and applied agents have applied to a map, and different components of the field provide guidance as to whether or not and when to use utilized individuals. According to (CN2018/109581924A), A type of worldwide safety management system with which intelligent farm machinery is outfitted is disclosed in the present invention. This system has a first central control device and a second main control unit, and the first central control unit is coupled to various signals expansion, rate regulation, and course changing control modules; The primary switch control module safe all remaining button components double security protection components, trouble-free service display unit, signal adapter, and anti-collision safety protective module are all connected to the second central control unit, accordingly; a signal adapter connects the distance sensor modules to the second central control unit; The signal conversion expander is connected to the laser identification module and the laptop security control unit+Safar, correspondingly. The sophisticated control modules connect the geographical navigation and signal-receiving modules to the laptop security control unit+Safar. The cropper's current system can complete high-efficient homework assignments like intelligent navigational positioning, planning of paths, prevention, and smart yield prediction. In addition to (CN2022/115511158A), The invention describes a crop knowledgeable reproduction evaluation technique and the system that utilizes big data, which acquires the pest situation of the current agricultural land area by acquiring the past photographic data of the electricity agricultural land area and analyzing and contrasting the archaeological image data and the big data pest data. The method also performs the initial screening on crops and further performs additional screening on the crops by analyzing the crop complications circumstance of the farmland area. The invention also matches and combines various methods of irrigation with the optimized crop types to acquire scheme knowledge of the optimized crops, allowing a grower to choose and cultivate crops while reducing the issue of low crop yield brought on by blind crop selection and further realizing the enhancement of the grower's financial situation. In the meantime, the invention increases agricultural production effectiveness by accurately supplying growers with crop species that fit the existing field conditions.
The (Balaji Bhanu, et al[2014 Eleventh International Conference on Wireless and Optical Communications Networks (WOCN)], "Agriculture Field Monitoring and Analysis using Wireless Sensor Networks for improving Crop Production"), The problems which are been faced by attack of the wild animals on to the agriculture fields i.e. farms damage is been a very big problem in many of the states, such as Himachal Pradesh, Haryana,Punjab and many more states. The crop validzation is caused mainly by eating off the flowers, plants and fruits of the farm and also by running over the farms. This is been done mostly by the animals like elephants, wild pigs, mainly cows and buffalo's. The birds also cause a lot of harm to the crop fields by eating all the seeds and all. It results to low yield of the crop. The attack of all these wild animals on the fruit and flower farms demolish all the fruits and flowers pf the plants. All these cases may results in lot of loss to their work and also to their financial status of the farmers and the crop field owners who works on these fields day and night for months. Due to this terrific trouble caused by the animals the farms leave the fields.
The [Joseph Haule,et al([2014] "Deployment of wireless sensor networks (WSN) in automated irrigation management and scheduling systems: a review", Science Computing and Telecommunications (PACT),] A very much financial loss is been caused to the farmers by the harm caused to the crop fields by the wild animals .Mostly this is caused by the group of monkeys attacking in places like Punjab and Himachal Pradesh as these are the boarded states. This is same in some of the places like shimal, where this place is famous for apple fields.

Summary of the Invention
The proposed invention will enable the agriculturists to guarantee their fields and ranches viably, with no human mediation, by evading the animals with consequently controlled ultrasonic animal anti-agents, by avoiding the creatures with automatically controlled ultrasonic creature repellent buzzers. It will likewise empower them to remotely screen their fields from wherever, thus eliminating the need of physical presence of a man in the fields.
Detailed Description of the Invention
This structure will enable the agriculturists to guarantee their fields and ranches viably, with no human mediation, by evading the animals with consequently controlled ultrasonic animal anti-agents, by avoiding the creatures with automatically controlled ultrasonic creature repellent buzzers. It will likewise empower them to remotely screen their fields from wherever, thus eliminating the need of physical presence of a man in the fields.
The IR Sensor and the other components are connected to the Raspberry pi which is turned on 24×7 for the entire day. IR sensor always works in the crop fields and provides count to the Raspberry pi. Raspberry pi as the mind of the framework, the Raspberry pi ceaselessly checks for the movement in the field or plantation. Whenever animal enter into the crop IR Sensor detects the animal that will be read by the processor, on that time camera captures the image. The system gives an email alert by sending image of the crop. GSM module alerts the farmer by sending messages. Otherwise, the person should go through the manual process. IR Sensor is associated with the raspberry pi 3 GPIO ping 3 and 5. Adapter is associated with the raspberry pi 3 in the power input port. Install OS in the SD card. Connect GSM module to Raspberry pi.
On the off chance that any sort of movement is distinguished in the field, the Raspberry pi checks for the nearness of creatures in the picture. Whenever animals entered into the crop IR Sensor detects the animal that will be read by the processor, on that time camera captures the image. The system gives an email alert by sending image of the crop. GSM module alerts the farmer by sending messages. Otherwise the person should go through the manual process. IR sensor detects the obstacle and sends signal to Raspberry Pi. The processor will process the system and it sends message to owner. By seeing that message the owner will get reacted. The he immediately warding the animals.the farmers are facing by the wild animals attacks on the crop fields is removed. Whenever animal attack on their field’s automatically the system captures the image send to the farmer. Obstacle founded in the field by IR sensor then it sends signal to Raspberry pi. Raspberry controls all the process and it sends message to authorised user and captures image and sends image to the Gmail.
Weather Sensors: These sensors collect data on temperature, humidity, rainfall, and other meteorological parameters. The information helps farmers make informed decisions based on weather patterns. Soil Moisture Sensors: Placed in the field, these sensors measure soil moisture levels, ensuring optimal irrigation and preventing over-watering or under-watering. Pest and Disease Detection Sensors: Deployed strategically, these sensors identify the presence of pests and diseases through various means, such as image recognition, chemical analysis, or biological indicators.
Wireless Sensor Networks (WSN): The system utilizes WSN for seamless communication between sensors, actuators, and the central control system. This ensures real-time data transmission and quick response to emerging threats. Internet Connectivity; The collected data is transmitted to a cloud-based platform via the internet, allowing farmers to access information remotely and make timely decisions.
Cloud-Based Platform: The data collected from the field is processed and stored on cloud servers. Advanced analytics and machine learning algorithms analyze this data to provide actionable insights. Decision Support System: The processed data is presented to farmers through a user-friendly interface, offering insights into crop health, environmental conditions, and recommended actions.
Automated Irrigation Systems: Connected to soil moisture sensors, these systems trigger irrigation based on real-time soil conditions, preventing water wastage and ensuring optimal hydration for crops. Precision Spraying Systems: Actuators connected to pest and disease detection sensors enable targeted spraying of pesticides, reducing chemical usage and minimizing environmental impact. Climate Control Systems: Automated mechanisms adjust greenhouse parameters based on weather and crop conditions to create an optimal growth environment. Farmers' Interface: The system includes a mobile application that allows farmers to monitor their crops, receive alerts, and control various aspects of the system remotely. It provides a user-friendly dashboard for real-time insights.
To mitigate the impact of animal intrusion on crops through the implementation of a Smart Crop Protection System leveraging IoT technologies.
Farmers in a rural area are facing challenges with wildlife intruding into their fields and damaging crops. Common culprits include deer, rabbits, and other animals. The goal is to develop a system that can detect and deter these animals, protecting the crops from significant losses. Deploy motion sensors, cameras, or infrared sensors at the perimeter of the fields. Sensors are programmed to detect the presence of animals based on movement and body heat. Establish a wireless sensor network for seamless communication between the animal detection sensors and the central control system. Utilize IoT protocols for efficient data transmission. Implement a centralized control system that receives real-time data from the animal detection sensors. Integrate a decision-making algorithm to analyze the data and differentiate between harmless wildlife and potential threats. Configure the system to send instant alerts to farmers' mobile devices or a central monitoring station when potentially harmful animals are detected. Alerts may include the type and number of animals detected. Integrate actuators such as sound emitters, flashing lights, or water sprayers to deter animals upon detection. The system activates the deterrent mechanisms selectively, targeting specific areas where intrusion is detected. Store historical data on animal intrusion patterns and system responses for future analysis. Implement machine learning algorithms to continuously improve the system's ability to distinguish between harmless and harmful animals. Develop a user-friendly interface accessible through a mobile application or a web portal. Allow farmers to remotely monitor the status of the system, receive alerts, and manually trigger deterrent mechanisms if needed.
This use case illustrates how a Smart Crop Protection System using IoT can effectively safeguard crops against animal intrusion, offering a proactive and intelligent solution for farmers to protect their livelihoods. The System/Method for Smart Protection of Crops Using IoT represents a significant advancement in agriculture, promoting sustainability, efficiency, and improved crop productivity.
4 Claims & 1 Figure
Brief description of Drawing
In the figure which are illustrate exemplary embodiments of the invention.
Figure 1, Architecture of the Proposed Invention , Claims:The scope of the invention is defined by the following claims:

Claim:
1. A system/method to the identification of various intruder affects the crops, said system/method comprising the steps of:
a) The system starts up, data is collected by the camera (1). The system (2) will be sent into the sensors and microcontrollers (3).
b) The developed system will analyze the intruder attacking the crops (4) or not. If attacking means it will sends an alert message into two ways, on is mobile SMS (5) another is mail alert (6) with intruder photos.
2. As mentioned in claim 1, the camera gathers data feed from the surroundings, whether the animals/intruder attacking or damaging the crops.
3. As per claim 1, all the captured data is sent to the micro controller, that will analyze it and sends an alert message to the farmer.
4. As mentioned in claim 1, if any animals attacking/damaging the crops means immediately microcontroller sends an alert message to the farmer via message as well as sends the animals/intruder photo to their Gmail message.