Description:TECHNICAL FIELD
[0001] The present disclosure relates generally to field of warning system. More particularly, the present disclosure provides a pest detection and warning system for land, where the system facilitates in detecting and repelling the pests like locust, katydids, and grasshopper from the land.

BACKGROUND
[0002] Background description includes 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.
[0003] Locust damages crops, leaves, fruits and even flowers, and can cause large-scale agricultural damage within a few hours. Locusts have affected about 60 countries, including India and Pakistan. They are swarming short-horned grasshoppers, each two inches long with short, thick antennas. Grasshoppers don’t live in groups and keep chewing plants as lonely insects. But in some circumstances, they coalesce into large groups and migrate together in search of food. This process of gregariousness also induces changes in appearance, turning them from green to a shade of yellow-brown and strengthens their muscles.
[0004] Since the 1800, various countries are affected by the abnormal climate and changes in the agricultural ecological environment, new locust areas have been produced all over the world, and old locust areas have repeatedly appeared. The frequency of locusts has increased and the degree of damage has increased. According to the Food and Agriculture Organisation (FAO), locusts have been known to cross the Red Sea, a distance of 300 km. One particular swarm reportedly flew over 5,000 km, from West Africa to the Caribbean, in 10 days in 1988. One squared kilometer swarm of 40 million locusts eat as much as 35,000 people can in a day. India also experienced serious locust outbreaks in 1812, 1821, 1843-1844, 1863-1867, 1869-1873, 1876-1881, 1889-1898, 1900-1907 and 1912-1920, the last big infestation was in 2010. The locust plague is a devastating biological disaster. In the event of a locust plague, a large number of locusts will damages the fields, completely destroy the agricultural products and cause serious economic losses, leading to famine due to food shortages. Efforts have been made in the past to overcome problem associated with locust detection and warning. Locust repellent chemicals are commercially available, but spraying harmful chemicals in the field is harmful for the growth of crops as well as for the well being of consumers. Also, the farmers produce sounds using utensils to irritate the locust to repel from the ground, but at the time the farmer got information regarding the attack of locust in the field, a large part of crop has been damaged by the locust till then.
[0005] There is a need to overcome above mentioned problem of prior art by bringing a solution that facilitates in repelling the pests from the fields and protecting crop, vegetable, fruit and the likes without causing harm to the pests. The solution can help in avoiding agricultural loss and other damages caused by the pests, by repelling the pests from the field without using any chemicals, and the solution is cost effective.

OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] It is an object of the present disclosure to provide a system for detecting pests in a land, and notifying the framer to take necessary actions.
[0008] It is another object of the present disclosure to provide a system to facilitate in repelling pests from farm, garden, and the likes and helps in protecting crops, cereals, vegetables from damage.
[0009] It is another object of the present disclosure to provide a system that enables avoiding agricultural loss and other damages associated with land and helps in saving expenses caused due to crop loss from pests.
[0010] It is another object of the present disclosure to provide a system that is cost effective, reliable and easy to install in the land.
[0011] It is yet another object of the present disclosure to provide a system which is easy to implement in the land and not harmful for the growth of crops as well for human being consuming the crops.

SUMMARY
[0012] The present disclosure relates generally to field of warning system. More particularly, the present disclosure provides a pest detection and warning system for land, where the system facilitates in detecting and repelling the pests like locust, katydids, and grasshopper from the land.
[0013] An aspect of the present disclosure pertains to a pest detection and warning system including a set of image sensors configured at pre-determined position of a land, where the image sensors may be configured to capture one or more images of said land, and correspondingly generate a first set of signals, a first set of sensors may be configured to sense one or more sounds from the land, a controller may be operatively coupled to the image sensors and the set of sensors.
[0014] In an aspect, the controller may be including one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors may be configured to receive the first set of signals, extract a second set of signals from the first set of signals, where said second set of signals may pertain to visual characteristics of the one or more entities, match the visual characteristics of the one or more entities with a first dataset, the first dataset may include pre-stored images associated with the one or more entities, and transmit a first set of actuation signals to the first set of sensors when one or more entities found in the land, and the first set of actuation signals actuates said set of sensors to sense one or more sounds from the land, and correspondingly generate a third set of signals. In another aspect, the controller may be configured to receive the third set of signals, extract a fourth set of signals from the third set of signals, where said fourth set of signals pertain to one or more sound frequencies of the one or more entities, compare the one or more sound frequencies of the one or more entities with a second dataset, where the second dataset may includes pre-determined sound frequencies associated with the one or more entities, and transmit a second set of actuation signals to an alert unit when any of the one or more sound frequencies found beyond the pre- determined sound frequencies, and the second set of actuation signals may actuate the alert unit to generate an audio alert that facilitates in repelling the one or more entities from the land, also transmit a set of warning signals to one or more computing devices through a GSM module), when any of the one or more sound frequencies found beyond the pre-determined sound frequencies, where the set of warning signals may facilitate in alerting one or more subjects.
[0015] In an aspect, the visual characteristics may include any or a combination of height, width, skin color, associated with the one or more entities.
[0016] In an aspect, the one or more entities include any or a combination of a pest, grasshopper, katydid, and locust.
[0017] In an aspect, the land may include any or a combination of plot, farm, vineyard, and garden.
[0018] In an aspect, the set of image sensors may include any or a combination of camera, surveillance equipment, and the likes.
[0019] In an aspect, the alert unit may include any or a combination of buzzer, alarm and vibrator.
[0020] In an aspect, the audio alert may be generated by the alert unit that facilitates in repelling the one or more entities from the land.
[0021] In an aspect, the first set of sensors may include any or a combination of sound sensor, acoustic sensor, and heterodyne sound detector.
[0022] In an aspect, the system comprises a power source operatively coupled to the set of image sensors, the first set of sensors, the alert unit, the controller, wherein the power source facilitates in providing electric power to the system, and where the power source may include any or a combination of cell, battery, electric power line, inverter, capacitor bank, and inductor.
[0023] Another aspect of the present disclosure pertains to a method for detecting and repelling pests from a land, the method may be including steps of detecting, by a set of image sensors, one or more entities in a land, analyzing, by one or more processors, visual characteristics of the one or more entities with a first dataset comprising pre-stored images associated with the one or more entities, generating, by one or more processors, a first set of actuation signals to actuate a first set of sensors that facilitates in sensing one or more sound frequencies in the land, transmitting, by one or more processors, a second set of actuation signals to actuate an alert unit to generate an audio alert that facilitates in repelling the one or more entities from the land, and transmitting, by one or more processors, a set of warning signals to one or more computing devices through a GSM module where the set of warning signals facilitates in alerting one or more subjects.

BRIEF DESCRIPTION OF THE DRAWINGS
[0024] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0025] The diagrams are for illustration only, which thus is not a limitation of the present disclosure, and wherein:
[0026] FIG. 1 illustrates a block diagram of proposed pest detection and warning system for land, in accordance with an embodiment of the present disclosure.
[0027] FIG. 2 illustrates exemplary functional components of controller of the proposed pest detection and warning system for land, in accordance with an embodiment of the present disclosure.
[0028] FIG. 3 illustrates an exemplary flow diagram of a method of the proposed pest detection and warning system for land, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0029] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details.
[0030] The present disclosure relates generally to field of warning system. More particularly, the present disclosure provides a pest detection and warning system for land, where the system facilitates in detecting and repelling the pests like locust, katydids, and grasshopper from the land, and also transmits notification to owner of the land to take necessary actions.
[0031] FIG. 1 illustrates a block diagram of proposed pest detection and warning system for land, in accordance with an embodiment of the present disclosure.
[0032] As illustrated in FIG. 1, the proposed pest detection and warning system (100) (also referred to as system (100), herein) can include a set of image sensors (102), a first set of sensors (104), an alert unit (106), a GSM module (110), and a controller (108). The set of image sensors (102), the first set of sensors (104), the alert unit (106), and the GSM module (110) can be operatively coupled to the controller (108). The set of image sensors (102) can be operatively coupled to the first set of sensors (104). The system (100) can be a warning system for land, where the system (100) can facilitate inn repelling one or more entities from the land and helps in protecting crops, vegetables, fruits, and the likes. In another embodiment, the one or more entities can include any or a combination of pest, grasshopper, katydids locust, cricket, flying insect, and the likes.
[0033] In an embodiment, the set of image sensors (102) (collectively referred as image sensors (102), and individually referred as image sensor (102), hereinafter) can be configured at pre-determined position of the land the land, where the land can include any or a combination of plot, farm, vineyard, grange, garden, and the likes. The image sensors (102) can be configured to capture one or more images of the land and correspondingly generate a first set of signals, where the first set of signals can be in electrical form, and the first set of signals can be transmitted to the controller (108). In another embodiment, the image sensors (102) can be camera, surveillance equipment, and camcorder but not limited to the likes.
[0034] In an embodiment, the first set of sensors (104) can be configured at pre-determined position of the land to sense one or more sounds from the land. The first set of sensors (104) can be operatively coupled with the image sensors (102) and configured to sense one or more sounds from the land, and correspondingly generate a third set of signals which can be transmitted to the controller (108) in electric form. In another embodiment, the first set of sensors (104) can be sound sensor, acoustic sensor, and heterodyne sound detector but not limited to the likes.
[0035] In an embodiment, the alert unit (106) can be configured to generate an audio alert, where the audio alert facilitates in repelling the one or more entities from the land. In another embodiment, the alert unit (106) can include any or a combination of light emitting diode, buzzer, alarm and vibrator.
[0036] In an embodiment, the controller (108) can be configured to receive the first set of signals from the image sensors (102) in electrical form. The controller (108) can include one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors. The controller (108) can be configured to extract a second set of signals from the first set of signals, where second set of signals pertain to visual characteristics of the one or more entities, and match the visual characteristics of the one or more entities with a first dataset, where the first dataset can include pre-stored images associated with the one or more entities. In another embodiment, the visual characteristics can include any or a combination of height, width, skin color, body parameters, wings, and the likes associated with the one or more entities.
[0037] In an exemplary embodiment, the cameras (102) can be configured on various locations in the land on a pole or like to capture images and videos of the land. The one or more locust can be detected from the images by the controller (108), by their visual characteristics such as the locust having many legs, wings and green or brown color.
[0038] In an embodiment, the system (100) can include the GSM module (110), the GSM module (110) can facilitate in providing communication in between the system (100) and one or more computing devices associated with one or more subjects, where the one or more subjects can be owner, farmer, and the likes.
[0039] In an embodiment, when one or more entities found in the land, the controller (108) can transmit a first set of actuation signals to the first set of sensors (104) based on the received visual characteristics of the one or more entities. In another embodiment, the first set of sensors (104) can be configured to sense the one or more sounds from the land based on the received first set of actuation signals and correspondingly generate a third set of signals.
[0040] In an embodiment, the controller (108) can be configured to extract a fourth set of signals from the third set of signals, where the fourth set of signals pertain to one or more sound frequencies of the one or more entities. The controller (108) can be configured to compare the one or more sound frequencies of the one or more entities with a second dataset, where the second dataset includes pre-determined sound frequencies associated with the one or more entities. In another embodiment, when any of the one or more sound frequencies found beyond the pre-determined sound frequencies, the controller (108) can to transmit a second set of actuation signals to an alert unit (106), where the second set of actuation signals can actuate the alert unit (106) to generate an audio alert that facilitates in repelling the one or more entities from the land.
[0041] In an exemplary embodiment, when a group of locust attacks or crop to destroy the crop, body parts of the locust can be rubbed with each other, which produce a sound having frequencies in between one kilohertz to thirty kilohertz, which can be sensed by the heterodyne sound detector (104) and a buzzer can be actuated to produce a high frequency sound such as thirty five kilohertz to forty kilohertz, but not limited to the likes, upon hearing the high frequency sound locust can be repelled from the land due to irritation caused by the generated high frequency sound.
[0042] In an embodiment, the controller (108) can be configured to transmit a set of warning signals to one or more computing devices through the GSM module (110) when any of the one or more sound frequencies found beyond the pre- determined sound frequencies, where the set of warning signals can facilitate in alerting one or more subjects. In an exemplary embodiment, the subject can be an owner, farmer, care taker, and the likes. In another embodiment, the controller (108) can be any or a combination of microprocessor, microcontroller, Arduino Uno, At mega 328, other similar processing unit, and the likes.
[0043] In an exemplary embodiment, the controller (108) can be in communication with one or more mobile computing devices associated with one or more subjects through a communication module, where the communication module can include any or a combination of Wireless Fidelity (Wi-Fi) module, Bluetooth module, Li-Fi module, optical fiber, Wireless Local Area Network (WLAN), and ZigBee module and the likes. The one or more mobile computing devices can be configured to receive the set of warning signals, when one or more sound frequencies found beyond the pre- determined sound frequencies in the land, where the set of warning signals can facilitate alerting the one or more subjects.
[0044] In an embodiment, the set of warning signals can be transmitted in the form of text, and mail through the GSM module (110) or the communication module.
[0045] In an embodiment, the system (100) can include a power source operatively coupled to the image sensors (102), the first set of sensors (104), the alert unit (106), the controller (108), where the power source can facilitate in providing electric power to the system (100). In another embodiment, the power source can include any or a combination of cell, battery, electric power line, inverter, capacitor bank, inductor, and the likes.
[0046] FIG. 2 illustrates exemplary functional components of controller of the proposed pest detection and warning system for land, in accordance with an embodiment of the present disclosure.
[0047] As illustrated in an embodiment, the controller (108) can include one or more processor(s) (202). The one or more processor(s) (202) can be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) (202) can be configured to fetch and execute computer-readable instructions stored in a memory (204) of the controller (108). The memory (204) can store one or more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory (204) can include any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0048] In an embodiment, the controller (108) can also include an interface(s) 206. The interface(s) (206) can include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) (206) can facilitate communication of the controller (108) with various devices coupled to the controller (108). The interface(s) (206) can also provide a communication pathway for one or more components of controller (108). Examples of such components include, but are not limited to, processing engine(s) (208) and database (210).
[0049] In an embodiment, the processing engine(s) (208) can be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) (208). In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may include a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) (208). In such examples, the controller (108) can include the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to controller (108) and the processing resource. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry. A database (210) can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).
[0050] In an exemplary embodiment, the processing engine (208) can be further configured in the form of an Artificial Neural Network like the following but not limited to Convolutional Neural Network (CNN) and Deep Neural Network (DNN).
[0051] In an embodiment, the processing engine(s) (208) can include an extraction unit (212), a matching unit (214), a comparison unit (216), a signal generation unit (218), and other unit (s) (220). The other unit(s) (220) can implement functionalities that supplement applications or functions performed by the system (100) or the processing engine(s) (208).
[0052] The database (210) can include data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).
[0053] As illustrated in FIG. 2, the controller (108) can be configured to receive a first set of signals generated by a set of image sensors (102), where the image sensors (102) can be camera, surveillance equipment, and camcorder but not limited to the likes. Upon receiving the first set of signals, the controller (118) can extract a second set of signals from the first set of signals with help of the extraction unit (212), where the second set of signals can pertain to visual characteristics of the one or more entities, and the second set of signals in machine readable form or binary form to the matching unit (214). In another embodiment, the one or more entities can include any or a combination of pest, grasshopper, katydids locust, cricket, flying insect, and the likes.
[0054] In an embodiment, the matching unit (214) can be configured to receive the second set of signals in machine readable form or binary form, where the matching unit (214) can be configured to match the visual characteristics associated with the captured image of the one or more entities with a first dataset. The first dataset can include pre-stored images of the one or more entities, where the first dataset can be stored in the database (210). In another embodiment, the visual characteristics can include any or a combination of height, width, skin color, body parameters, wings, and the likes associated with the one or more entities.
[0055] In an embodiment, upon matching the visual characteristics of the one or more entities with the pre-stored images of the one or more entities, the controller (108) can generate a first set of actuation signals with help of the signal generation unit (218), and the generated first set of actuation signals can be transmitted to a first set of sensors (104) to sense the one or more sounds from the land. In another embodiment, the first set of sensors (104) can be sound sensor, acoustic sensor, and heterodyne sound detector but not limited to the likes.
[0056] In an embodiment, the controller (108) can be configured to receive a third set of signals from the first set of sensors (104), and with help of the extraction unit (212) a fourth set of signals can be extracted from the received third set of signals, where the fourth set of signals pertain to one or more sound frequencies of the one or more entities. In another embodiment, the extracted fourth set of signals can be transmitted to the comparison unit (216) for comparison. Upon receiving the extracted fourth set of signals in machine readable form or binary form, the comparison unit (216) can compare the one or more sound frequencies of the one or more entities with a second dataset. The second dataset can include pre-determined sound frequencies associated with the one or more entities, where the second dataset can be stored in the database (210). In another embodiment, when any of the one or more sound frequencies found beyond the pre-determined sound frequencies, the controller (108) can generate a second set of actuation signals with help of the signal generation unit (218) in an electric form, and the generated second set of actuation signals can be transmitted to an alert unit (106). In an exemplary embodiment, the pre-determined sound frequencies can be within the range of one kilohertz to thirty kilohertz, but not limited to the likes. In another embodiment, the second set of actuation signals can actuate the alert unit (106) to generate an audio alert that facilitates in repelling the one or more entities from the land, where the alert unit (106) can include any or a combination of light emitting diode, buzzer, alarm and vibrator.
[0057] In an embodiment, the when any of the one or more sound frequencies found beyond the pre-determined sound frequencies, the controller (108) can generate a set of warning signals with help of the signal generation unit (218), and the generate set of warning signals can be transmitted to one or more computing devices through a GSM module, where the set of warning signals can facilitate in alerting one or more subjects.
[0058] In an embodiment, the system (100) can facilitate in protecting crop, fruit, vegetable, cereals, and the likes associated with land like farm, garden, plot, and the likes from one or more entities, such as pests like locust, katydids, and grasshopper, but not limited to likes.
[0059] In an embodiment, the system (100) can facilitate in repelling the one or more entities from the land by generating an audio alert which produces high frequency sound that can help in irritating the one or more entities, and the one or more entities can be repelled from the land and does not cause harm to crop, vegetable, fruit, cereals, and the likes.
[0060] In an embodiment, the system (100) can facilitate in notifying one or more subjects, through a GSM module (110) or by the communication module such as wi-fi to take necessary action to repel the one or more entities from the land.
[0061] It would be appreciated that units being described are only exemplary units and any other unit or sub-unit may be included as part of the system (100). These units too may be merged or divided into super- units or sub-units as may be configured.
[0062] FIG. 3 illustrates an exemplary flow diagram of a method of the proposed pest detection and warning system for land, in accordance with an embodiment of the present disclosure.
[0063] Referring to FIG.3, the method 300 can be implemented using a controller (108), which can include one or more processors. At block 302, detecting by an image sensors (102), one or more entities in a land, where the set of image sensors (102) can be camera, surveillance equipment, and camcorder but not limited to the likes.
[0064] In an embodiment, at block 304, analyzing by one or more processors, visual characteristics of the one or more entities with a first dataset comprising pre-stored images associated with the one or more entities, where the visual characteristics can include any or a combination of height, width, skin color, body parameters, wings, and the likes associated with the one or more entities.
[0065] In an embodiment, at block 306, generating by one or more processors, a first set of actuation signals to actuate a first set of sensors (104) that facilitates in sensing one or more sound frequencies generated by the one or more entities in the land, where the first set of sensors (104) can include any or a combination of sound sensor, acoustic sensor, heterodyne sound detector, and the likes.
[0066] In an embodiment, at block 308, transmitting by one or more processors, a second set of actuation signals to actuate an alert unit (106) when the one or more sound frequencies found beyond the pre-determined sound frequencies, and upon actuation, the alert unit (106) generate an audio alert that irritates the one or more entities and due to irritation the one or more entities can be repelled from the land. The alert unit (106) can include any or a combination of light emitting diode, buzzer, alarm and vibrator.
[0067] In an embodiment, at block 308, transmitting by one or more processors, a set of warning signals to one or more computing devices through a GSM module (110), where the set of warning signals can facilitate in alerting one or more subjects to take necessary action to repel the one or more entities from the land, where the subject can be owner of land, farmer, care taker, but not limited to likes, and the one or more computing devices can be mobile, smart phone, tablet, computer, and the likes.
[0068] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0069] The present disclosure provides a system for detecting pests in a land, and notifying the framer to take necessary actions.
[0070] The present disclosure provides a system to facilitate in repelling pests from farm, garden, and the likes and helps in protecting crops, cereals, vegetables from damage.
[0071] The present disclosure provides a system that enables avoiding agricultural loss and other damages associated with land and helps in saving expenses caused due to crop loss from pests.
[0072] The present disclosure provides a system that is cost effective, reliable and easy to install in the land.
[0073] The present disclosure provides a system which is easy to implement in the land and not harmful for the growth of crops as well for human being consuming the crops.

We Claims:

1. A pest detection and warning system (100) comprising :
a set of image sensors (102) configured at pre-determined position of a land, wherein the image sensors configured to capture one or more images of said land, and correspondingly generate a first set of signals;
a first set of sensors (104) configured to sense one or more sounds from the land; and
a controller (108) operatively coupled to the image sensors (102) and the first set of sensors (104), wherein the controller (108) including one or more processors coupled with a memory, the memory storing instructions executable by the one or more processors configured to:
receive the first set of signals;
extract a second set of signals from the first set of signals, wherein said second set of signals pertain to visual characteristics of the one or more entities;
match the visual characteristics of the one or more entities with a first dataset, wherein the first dataset includes pre-stored images associated with the one or more entities; and
transmit a first set of actuation signals to the first set of sensors (104) when one or more entities found in the land, wherein the first set of actuation signals actuates said first set of sensors (104) to sense one or more sounds from the land, and correspondingly generate a third set of signals; and
wherein the controller (108) is configured to:
receive the third set of signals;
extract a fourth set of signals from the third set of signals, wherein said fourth set of signals pertain to one or more sound frequencies of the one or more entities;
compare the one or more sound frequencies of the one or more entities with a second dataset, wherein the second dataset includes pre-determined sound frequencies associated with the one or more entities; and
transmit a second set of actuation signals to an alert unit (106) when any of the one or more sound frequencies found beyond the pre- determined sound frequencies, wherein the second set of actuation signals actuate the alert unit (106) to generate an audio alert that facilitates in repelling the one or more entities from the land; and
transmit a set of warning signals to one or more computing devices through a GSM module (110), when any of the one or more sound frequencies found beyond the pre-determined sound frequencies, wherein the set of warning signals facilitates in alerting one or more subjects.
2. The system (100) as claimed in claim 1, wherein the visual characteristics include any or a combination of height, width, skin color, associated with the one or more entities.
3. The system (100) as claimed in claim 1, wherein the one or more entities include any or a combination of pest, grasshopper, katydid, and locust.
4. The system (100) as claimed in claim 1, wherein the land includes any or a combination of plot, farm, vineyard, and garden.
5. The system (100) as claimed in claim 1, wherein the set of image sensors (102) comprise any or a combination of camera, surveillance equipment, and the likes.
6. The system (100) as claimed in claim 1, wherein the alert unit (106) comprises any or a combination of buzzer, alarm and vibrator.
7. The system (100) as claimed in claim 1, wherein the audio alert generated by the alert (106) unit enables repelling the one or more entities from the land.
8. The system (100) as claimed in claim 1, wherein the first set of sensors (104) comprises any or a combination of sound sensor, acoustic sensor, and heterodyne sound detector.
9. The system (100) as claimed in claim 1, wherein the system (100) comprises a power source operatively coupled to the set of image sensors (102), the first set of sensors (104), the alert unit (106), the controller (108), wherein the power source facilitates in providing electric power to the system (100), and wherein the power source includes any or a combination of cell, battery, electric power line, inverter, capacitor bank, and inductor.
10. A method for detecting and repelling pests from a land, the method comprising:
detecting, by a set of image sensors (102), one or more entities in a land;
analyzing, by one or more processors, visual characteristics of the one or more entities with a first dataset comprising pre-stored images associated with the one or more entities;
generating, by one or more processors, a first set of actuation signals to actuate a first set of sensors (104) that facilitates in sensing one or more sound frequencies in the land;
transmitting, by one or more processors, a second set of actuation signals to actuate an alert unit (106) to generate an audio alert that facilitates in repelling the one or more entities from the land; and
transmitting, by one or more processors, a set of warning signals to one or more computing devices through a GSM module (110), wherein the set of warning signals facilitates in alerting one or more subjects.