Method and ai-enabled device for pest management

Abstract

The invention relates to a pest management device (300) designed for sustainable agricultural pest control is disclosed. The device incorporates an acoustic sensor (206) and an ultrasonic sensor (205) to detect insect communication signals and incidental noises in real-time. An artificial intelligence (AI) module analyzes the detected sounds and ultrasonic signals to identify pest species based on their unique acoustic and ultrasonic signal signatures. The system generates species-specific acoustic, ultrasonic, vibratory, -optical, and info-chemical signals to modify the behavior of identified insects, attracting harmful species toward the device. An extermination mechanism, comprising a high-voltage electrocution grid, eliminates the attracted pests. Additionally, a protective alarm signal system repels beneficial insects, such as pollinators, parasitoids, and predators, ensuring their safety. This device offers an eco-friendly alternative to chemical pesticides, promoting crop protection while maintaining ecological balance.

Description

TITLE OF THE INVENTIONMETHOD AND AI-ENABLED DEVICE FOR PEST MANAGEMENTFIELD OF THE INVENTION

[0001] The present invention relates to techniques for sustainable pest management in agriculture. More particularly, the invention relates to a system and method for detecting and analyzing insect communication signals in real-time using artificial intelligence (Al) and sensor technologies, to selectively attract and exterminate harmful insect pest species including herbivorous and omnivorous insects while protecting and dispersing beneficial insect species including carnivorous insects, parasitoids and nectar-pollen feeding bees.BACKGROUND OF THE INVENTION

[0002] Agricultural practices have historically relied on chemical pesticides for pest management, which has led to several significant challenges. The widespread use of chemical agents to control harmful insect species has resulted in environmental degradation, contamination of water bodies, and the destruction of beneficial organisms that are crucial for maintaining ecological balance. Pesticides often leave harmful residues on crops, leading to potential health risks for consumers. The persistence of these chemicals in the soil and water has raised concerns about longterm ecological impacts, affecting both biodiversity and agricultural sustainability.

[0003] One of the major problems associated with chemical / microbial / biological / biochemical pesticide use is the development of pesticide resistance in insect populations. Over time, many insect species have adapted to pesticides treatments, rendering these pesticides less effective. This has created an arms race between pesticide manufacturers and evolving pests, leading to the need for stronger and more toxic substances to achieve the same level of control. Such practices further exacerbate environmental problems, including the decline of pollinator populations, degradation of soil health, and the accumulation of toxic chemicals in ecosystems.

[0004] Traditional pest control devices, particularly those using electrocution to kill insects, suffer from a lack of selectivity. These devices are incapable of distinguishing between harmful pests and beneficial insects such as pollinators, parasitoids, and predatory insects. The electrocution mechanism, while effective in killing insects on contact, indiscriminately eliminates any insect that comes into contact with the device, including species that are essential for pollination andnatural pest control. This lack of precision results in a disruption of ecological balance, as beneficial insects are vital for sustaining agricultural ecosystems.

[0005] Another major issue with conventional electrocution devices is their environmental impact. The physical trapping and killing of insects result in a build-up of insect remains, which need to be periodically cleaned from the device. This accumulation not only reduces the effectiveness of the device but also creates additional maintenance burdens for farmers. The need for constant maintenance to ensure proper functioning is a significant drawback, particularly in large-scale agricultural operations where hundreds of such devices may be deployed.

[0006] Devices that rely on ultrasonic waves for pest control have been introduced as an alternative to pesticides, but they too have notable limitations. Ultrasonic devices emit high-frequency sound waves to repel pests, but these waves can be obstructed by physical barriers such as plant foliage, trees, or soil. This reduces their effectiveness in large or densely planted agricultural fields. Furthermore, ultrasonic waves are not species-specific and may inadvertently affect non-target organisms, including beneficial insects. This non-selective approach can cause unintended harm to the environment.

[0007] In addition to limited area coverage, ultrasonic wave-based devices are highly sensitive to environmental conditions. Factors such as wind, humidity, and temperature can alter the propagation of sound waves, diminishing their effectiveness in repelling or attracting pests. As a result, these devices often require careful positioning and frequent adjustment to achieve optimal results, adding to the operational complexity for farmers. Moreover, these systems do not offer adaptive control based on real-time conditions, which limits their utility in dynamic agricultural environments.

[0008] Another significant issue with traditional pest management technologies is their energy consumption. Electrocution and ultrasonic devices typically require a continuous power supply to operate effectively, which can lead to high energy costs, especially in large-scale operations. In many cases, these devices are not energy-efficient and require constant maintenance to keep them operational. The lack of energy-efficient solutions is a major limitation, particularly for farmers in regions where energy access is limited or expensive. Furthermore, the high energy demands of such systems make them less sustainable in the long term.

[0009] In terms of effectiveness, traditional pest control systems are often restricted to the immediate vicinity of the device. For instance, electrocution devices only eliminate pests that physically come into contact with the device, limiting their overall efficacy in larger agricultural fields.3As pests must be lured or directed towards the device, the limited area of influence poses a challenge for comprehensive pest management across large or dispersed plots of land. This leaves significant portions of crops unprotected and may necessitate the deployment of multiple devices, further increasing costs and energy consumption.

[0010] Existing technologies also lack adaptability to evolving pest behaviors and changing environmental conditions. Pest populations can vary significantly based on climate, geography, and crop type, requiring flexible and dynamic solutions. However, most traditional pest control systems are static in nature and unable to adjust their operations in response to real-time data. This results in suboptimal pest management, as devices may continue to operate inefficiently or ineffectively in changing pest populations or under fluctuating environmental conditions.

[0011] In particular, current electrocution and ultrasonic devices are unable to account for emerging pest threats or the seasonal variations in pest populations. Without the ability to dynamically adapt to the behavior and type of pests present, these systems often become less effective over time. This lack of real-time adaptability is a major drawback for long-term pest management, as it requires manual intervention to recalibrate or replace the devices based on periodic monitoring.

[0012] Given these limitations, there is an urgent need for an advanced pest management solution that overcomes the shortcomings of traditional technologies. Such a solution would need to offer precise targeting of harmful pests while safeguarding beneficial insects, operate efficiently across large areas with minimal energy consumption, and provide real-time adaptability to changing environmental conditions and pest behaviors. A sustainable, scalable, and ecologically responsible system is critical for ensuring effective pest control while promoting agricultural productivity and biodiversity.OBJECT AND SUMMARY OF THE INVENTION

[0013] To address the foregoing problems, in whole or in part, and / or other problems that may have been observed by persons skilled in the art, the present disclosure provides system and methods as described by way of example as set forth below.

[0014] The principal object of the present invention is to provide a bi-directional insect communication system capable of altering the behaviour of insects, thereby causing the insect pests harmful to the crops and plants to aggregate near the insect communication signal source of the Artificially intelligent (Al) insect communication system.4

[0015] Another object of the invention is to provide the insect communication system to selectively protecting and dispersing beneficial insect species including carnivorous insects, parasitoids and nectar-pollen feeding bees.

[0016] Yet another object of the invention is to provide the insect communication system to lure and aggregate 2000 plus species of herbivorous and omnivorous insects and further it can be upgradable to 40,000 plus species on the go from below mentioned taxonomic orders.

[0017] Below mentioned is the Taxonomic order of herbivorous and omnivorous insects:• Blattodea (Termites),• Coleoptera (Beetles),• Dermaptera (Earwigs):• Hemiptera (True Bugs),• Hymenoptera (Sawflies),• Lepidoptera (Moths and Butterflies),• Orthoptera (Grasshoppers, Crickets, Locusts),• Phasmatodea (Stick Insects),• Thysanoptera (Thrips), Diptera (Flies),Taxonomic order of, Carnivorous Insects, Parasitoid Insects and Nectar-Pollen Feeding Bees. Carnivorous Insects:• Coleoptera (Beetles) Viz. Lady beetles (Coccinellidae), Ground beetles (Carabidae)• Diptera (Flies) Viz. Robber flies (Asilidae), Tachinid flies (Tachinidae)• Hemiptera (True Bugs) Viz. Assassin bugs (Reduviidae), Pirate bugs (Anthocoridae)• Hymenoptera (Bees, Wasps, Ants) Viz. Some ants (Formicidae), Wasps (Vespidae)• Neuroptera (Lacewings and Antlions)Viz. Green lacewings (Chrysopidae), Antlions (Myrmeleontidae)Parasitoid Insects:• Coleoptera (Beetles) Viz. Rove beetles (Staphylinidae), Some types of parasitic beetles in other families• Diptera (Flies) Viz. Tachinid flies (Tachinidae)• Hymenoptera (Bees, Wasps, Ants) Viz. Parasitic wasps (Braconidae, Ichneumonidae, Chalcididae)Nectar-Pollen Feeding Bees:• Hymenoptera (Bees, Wasps, Ants) Viz. Honey bees (Apidae), Bumblebees (Apidae), Carpenter bees (Apidae), Leafcutter bees (Megachilidae)

[0018] Yet another object of the inventon is to provide an electronic device based on the bidirectional insect communication system to exterminate the insect pests by electrocution.

[0019] Yet another object of the invention is to integrate a high-voltage electrocution grid within the device for the safe and effective elimination of harmful insect species without the need for pesticides.

[0020] Yet another object of the invention is to ensure the device’s energy efficiency by incorporating sustainable power sources such as solar and wind energy, minimizing operational costs and environmental impact.

[0021] Yet another object of the invention is to offer real-time monitoring and continuous pest management coverage across large agricultural areas, while maintaining low maintenance requirements through automated systems.

[0022] In view of the foregoing, the present invention provides a pest management device. The device comprises an acoustic sensors and an ultrasonic sensors configured to detect insect communication signals and incidental noises in real-time. Further, the device comprises an artificial intelligence (Al) module configured to analyze the detected sounds and identify pest species based on their unique acoustic and ultrasonic signatures, and a signal emission system configured to generate and emit species-specific acoustic, ultrasonic, vibratory (ultrasonic signals to cause substrate vibrations), optical, and info chemical signals to alter the behavior of detected pest species. The pest management device further comprises an extermination mechanism which comprises a high-voltage electrocution grid configured to eliminate identified harmful insect species attracted by the generated signals and a protective low volume alarm signal system configured to repel beneficial insects 2-3 meter away from the pest management device. This ensures the safety of beneficial insects and their presence in farm / crop area.

[0023] In another aspect of the present invention, the self-autonomous Al module is trained using machine learning algorithms to continuously update insect identification accuracy based on new acoustic and ultrasonic signatures data.

[0024] In another aspect of the present invention, the signal emission system is configured to generate specific optical patterns that attract nocturnal herbivorous and omnivorous insect species.

[0025] In another aspect of the present invention, the self-autonomous Al module is further configured to detect diurnal, nocturnal, and crepuscular insect species.

[0026] In another aspect of the present invention, the protective alarm signal system releases modulated optical, acoustic, ultrasonic signals to disperse and protect beneficial insects from the extermination mechanism.

[0027] In another aspect of the invention, the invention comprises a data storage module configured to store historical insect detection data for analysis and future pest management predictions.

[0028] In another aspect of the present invention, the invention provides a method for pest management. The method comprises detecting insect communication signals and incidental noises in real-time by an acoustic sensor and ultrasonic sensor, analysing the detected sounds using an artificial intelligence (Al) module to identify insect species based on their unique acoustic and ultrasonic signatures by an artificial intelligence (Al) module, and generating and emitting speciesspecific acoustic, vibratory, optical and info-chemical signals to alter the behavior of the identified pest species by a signal emission system. The method further comprises attracting identified harmful insect species to a designated location using the generated signals, exterminating the attracted harmful insect species by a high-voltage electrocution grid, and repelling beneficial insects away from the pest management device by emitting protective alarm signals.

[0029] Additional features of the invention will be or will become apparent to one with skill in the art upon examination of the following figures and detailed description. It is intended that all such additional features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims.BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Having thus described the subject matter of the present invention in general terms, reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:

[0031] Figure 1 illustrates an Al algorithm flowchart for detecting insect species based on sound and ultrasonic signatures, in accordance with an embodiment of the present invention;

[0032] Figure 2 illustrates a block diagram of the pest management device, in accordance with an embodiment of the present invention;

[0033] Figure 3 illustrates a schematic view of the pest management device, in accordance with an embodiment of the present invention;7

[0034] Skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.DETAILED DESCRIPTION OF THE INVENTION

[0035] The subject matter of the present invention now will be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the subject matter of the present invention are shown. Like numbers refer to like elements throughout. The subject matter of the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. Indeed, many modifications and other embodiments of the subject matter of the present invention set forth herein will come to mind to one skilled in the art to which the subject matter of the present invention pertains having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. All illustrations of the drawings are for the purpose of describing selected versions of the present invention and are not intended to limit the scope of the present invention. Therefore, it is to be understood that the subject matter of the present invention is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims.

[0036] As a preliminary matter, it will readily be understood by one having ordinary skill in the relevant art that the present disclosure has broad utility and application. As should be understood, any embodiment may incorporate only one or a plurality of the above-disclosed aspects of the disclosure and may further incorporate only one or a plurality of the above-disclosed features. Furthermore, any embodiment discussed and identified as being “preferred” is considered to be part of a best mode contemplated for carrying out the embodiments of the present disclosure. Other embodiments also may be discussed for additional illustrative purposes in providing a full and enabling disclosure. Moreover, many embodiments, such as adaptations, variations, modifications,and equivalent arrangements, will be implicitly disclosed by the embodiments described herein and fall within the scope of the present disclosure.

[0037] Accordingly, while embodiments are described herein in detail in relation to one or more embodiments, it is to be understood that this disclosure is illustrative and example of the present disclosure and are made merely for the purposes of providing a full and enabling disclosure. The detailed disclosure herein of one or more embodiments is not intended, nor is to be construed, to limit the scope of patent protection afforded in any claim of a patent issuing here from, which scope is to be defined by the claims and the equivalents thereof. It is not intended that the scope of patent protection be defined by reading into any claim a limitation found herein that does not explicitly appear in the claim itself.

[0038] Thus, for example, any sequence(s) and / or temporal order of steps of various processes or methods that are described herein are illustrative and not restrictive. Accordingly, it should be understood that, although steps of various processes or methods may be shown and described as being in a sequence or temporal order, the steps of any such processes or methods are not limited to being carried out in any particular sequence or order, absent an indication otherwise. Indeed, the steps in such processes or methods generally may be carried out in various different sequences and orders while still falling within the scope of the present invention. Accordingly, it is intended that the scope of patent protection is to be defined by the issued claim(s) rather than the description set forth herein.

[0039] Additionally, it is important to note that each term used herein refers to that which an ordinary artisan would understand such term to mean based on the contextual use of such term herein. To the extent that the meaning of a term used herein - as understood by the ordinary artisan based on the contextual use of such term - differs in any way from any particular dictionary definition of such term, it is intended that the meaning of the term as understood by the ordinary artisan should prevail.

[0040] Furthermore, it is important to note that, as used herein, “a” and “an” each generally denotes “at least one”, but does not exclude a plurality unless the contextual use dictates otherwise. When used herein to join a list of items, “or” denotes “at least one of the items”, but does not exclude a plurality of items of the list. Finally, when used herein to join a list of items, “and” denotes “all of the items of the list”.

[0041] The present invention relates to an advanced insect pest control device capable of attracting and trapping a wide range of diurnal, nocturnal, and crepuscular agricultural insect pests.9This sustainable pest management technology employs Al-enabled solutions, acoustic and ultrasonic waves, real-time insect identification, and detection systems to precisely modify insect behavior. By exploiting these behavioral changes, the system specifically attracts harmful herbivorous and omnivorous insects for extermination through electrocution, while simultaneously dispersing beneficial carnivorous insects, parasitoids, and nectar-pollen feeding bees, such as honey bees, carpenter bees, and bumblebees. This approach significantly reduces the need for pesticide use and promotes ecological balance.

[0042] The system utilizes a sophisticated bi-directional insect communication framework that detects and analyzes ambient sounds and ultrasonic signals in the agricultural environment. Cutting-edge Al algorithms enable the system to accurately identify various insect species based on their unique acoustic and ultrasonic signatures. Upon identifying harmful species, the system deploys targeted acoustic, ultrasonic, substrate vibratory, and modulated optical signals specifically designed to attract and eliminate these pests.

[0043] A key feature of this technology is its ability to selectively target only harmful insect species, such as herbivorous and omnivorous insects that -damages crops. At the same time, it releases alarm signals to threaten and disperse beneficial insects, including carnivorous insects, parasitoids, and pollinators like bees. This selective targeting helps maintain the ecological balance while ensuring effective crop protection.

[0044] In addition to its advanced communication capabilities, the technology incorporates an innovative electronic device that exterminates insect pests through electrocution. This method is not only effective but also environmentally friendly, as it eliminates the need for chemical pesticides and reduces risks to human health and the environment.

[0045] By integrating Al and sensor technologies, the invention provides a sustainable and eco- friendly solution for insect pest management. It enhances crop protection, improves the quality and yield of produce, and supports sustainable agricultural practices. The invention exemplifies a commitment to both innovation and environmental stewardship, offering a forward-thinking approach to modern agricultural challenges.

[0046] The disclosed insect communication system to release multimodal signals capable of communicating with most of the insects from following taxonomic orders:• Blattodea (Isoptera: Termites, Winged reproductive termites)• Coleoptera (Beetles): White Grubs, Stem borers, Scarab, Longicorn, , Flea beetle, Snout beetle, Coccinellidae, Carabidae, Staphylinidae,etc.10• Diptera: Culicidae (Mosquitoes), Muscidae (Houseflies), Tachinidae (Tachinid Flies), Syrphidae (Hoverflies), Calliphoridae (Blowflies), etc. Dermaptera: earwigs• Hemiptera: Aphids (Aphidoidea), Whiteflies (Aleyrodidae), Stink Bugs (Pentatomidae), Lygaeidae (Seed Bugs), Cydnidae (Burrowing Bugs), - Coreoidea (Leaf-footed Bugs and Allies), Pyrrhocoridae (Red Bugs or Cotton Stainers), Cicadas (Cicadidae), , , Leafhoppers (Cicadellidae), Treehoppers (Membracidae), Planthoppers (Fulgoroidea), Froghoppers (Cercopidae), Assassin Bugs (Reduviidae), Nabidae (Damsel bugs), , Miridae (plant bugs) , Anthocoridae (minute pirate bugs), etc.• Hymenoptera: Agaonidae, Aphelinidae, Apidae (Bees) Honey bee, Bumble bee, carpenter bee, Argidae, Braconidae, Chalcididae, Cimbicidae, > Cynipidae, Diapriidae, Dryinidae, Encyrtidae, Eulophidae, Eupelmidae, Eurytomidae, Formicidae (ants), Gasteruptiidae, Halictidae, Ichneu- monidae, Leucospidae, Megachilidae, Mymaridae, Mutillidae, Ormyridae, Pelecinidae, Per- ilampidae, Pompilidae, Proctotrupidae, Pteromalidae, Rhopalosomatidae, Scelionidae, Scoliidae, Sphecidae, Tenthredinidae (Sawflies), Torymidae, Trichogrammatidae, Vespidae (wasps, hornets), Xiphydriidae, etc.• Lepidoptera (Moths and butterflies): Alucitidae, Autostichidae, Bombycidae, Brahmaeidae, Carposinidae, Choreutidae, Crambidae, Drepanidae, Elachistidae, Eriocottidae, Gelechiidae, Ge- ometridae, Gracillariidae, Hepialidae, Lasiocampidae, Lecithoceridae, Lymantriidae, Micropter- igidae, Nepticulidae, Noctuidae, Nolidae , Notodontidae, Oecophoridae, Pterophoridae, Pyrali- dae, Satumiidae, Satyridae, Sesiidae, Sphingidae, Thyrididae, Tineidae, Tortricidae, Yponome- utidae (Ermine Moths), Zygaenidae, etc.• Neuroptera: Lacewings, Antlions, Mantidflies, Owlflies, etc.• Orthoptera (Crickets & Grass Hoppers): Crickets, Mole Crickets, Grass Hoppers, Katydid, Locust etc.• Phasmatodea (stick insects)• Thysanoptera (Thrips): Thripidae, Common thrips Viz western flower thrips (Franklin- iella occidentalis), onion thrips (Thrips tabaci), and melon thrips, etc and Aeolothripidae- banded thrips (predatory thrips) Viz. Aeolothrips intermedius, Aeolothrips fasciatus, Aeolothrips tenuicornis, etc.

[0047] The present invention provides a comprehensive solution for advanced pest management through the integration of Al, high-sensitivity acoustic sensors, ultrasonic sensors, and a precise electrocution mechanism. This system is designed to detect a wide range of pest species byanalyzing their unique acoustic and ultrasonic signatures. Utilizing these advanced sensors in combination with Al algorithms, the invention provides accurate and real-time pest identification, offering a broad-spectrum solution for pest detection and extermination. The system’s capability to recognize various pest types allows for effective and focused pest control, which is further enhanced by its electrocution mechanism, ensuring that harmful insect species are exterminated efficiently.

[0048] One of the key aspects of the invention is its ability to precisely target harmful herbivorus and omnivorous insect species while safeguarding beneficial (Carnivorous, parasitoids and nectarpollen feeding bees) ones. The Al-enabled system continuously processes real-time data to identify pest species and selectively deploys control measures. This ensures that only harmful species, such as herbivorous and omnivorous insects that damages crops, are targeted. The technology is designed to emit species-specific signals that attract these insect pests while releasing alarm signals to repel beneficial insects, such as pollinators, parasitoids, and carnivorous insects. By focusing interventions where they are most needed, this system minimizes the impact on non-target species and maintains ecological balance.

[0049] The disclosed system is highly adaptable to various agricultural settings due to its ability to provide comprehensive area coverage. It is equipped with sensors that can monitor and manage pest populations over large areas, including regions beneath plant canopies and close to the soil. This ensures that pest control is thorough, reaching areas that might otherwise remain untreated. The multi-sensor approach allows for effective pest management across the entire field, regardless of the terrain or crop density, ensuring that no area is left vulnerable to pest infestations.

[0050] Further, the invention is its adaptability to changing environmental conditions. The system utilizes data-driven insights to adjust pest control strategies based on factors such as weather patterns, crop type, and other ecological conditions. This flexibility allows the system to perform optimally across a range of environmental contexts, ensuring that pest control measures are continuously effective. By analyzing and responding to environmental data in real-time, the system ensures precision in its pest management approach, regardless of external variables like wind or humidity.

[0051] The disclosed invention is also energy-efficient and designed for sustainability. The system is powered by a combination of renewable energy sources, including solar panels and wind turbines, which ensure a continuous and reliable energy supply. This design not only reduces the system’s reliance on external power but also makes it more cost-effective for long-term use.12Additionally, the system requires minimal maintenance due to its automated processes and robust construction, further lowering the operational costs for farmers. By optimizing energy consumption and minimizing upkeep, the system supports sustainable agricultural practices while remaining efficient in pest control.

[0052] In scenarios where, renewable energy sources like sunlight or wind are insufficient — such as in controlled environments like greenhouses, polyhouses, or indoor farms — the system seamlessly transitions to grid power. This hybrid energy approach ensures continuous operation while prioritizing eco-friendly sources when available, thus optimizing energy usage in various agricultural or protected farm setups.

[0053] In accordance with an embodiment of the present invention, Figure 1 illustrates an Al algorithm flowchart for detecting insect species based on sound and ultrasonic signatures. This figure illustrates a comprehensive Al algorithm flowchart 100 designed for detecting insect species based on sound ultrasonic signatures. The process begins at step 102, marking the initiation of the system, which sets off a real-time monitoring and detection procedure. In step 104, ambient sounds and ultrasonic signals are captured using a combination of acoustic and ultrasonic sensors. These sensors are finely tuned to detect insect communication signals as well as incidental environmental noises, ensuring comprehensive sound and ultrasonic signal data collection.

[0054] Once the sounds and ultrasonic signals are captured, step 106 involves pre-processing of the sound and ultrasonic signal data. This stage eliminates unnecessary noise and trims the data, isolating the meaningful sound and ultrasonic signal segments that are crucial for the subsequent analysis. After pre-processing, the system proceeds to step 108, where it performs feature extraction. This involves applying advanced techniques such as Mel-frequency cepstral coefficients (MFCCs), chroma features, and spectral analysis to extract unique patterns from the sound and ultrasonic signal data, which are essential for distinguishing different insect species. Then, in step 110, the system loads a pre-trained Al model specifically designed for insect species identification. This model has been developed using a vast database of insect sound and ultrasonic signal signatures. Further, in step 112, where the Al model analyzes the extracted sound and ultrasonic signal features and compares them with its internal database to accurately identify the insect species based on their sound and ultrasonic signatures. Once the species is identified, the system moves to step 114, where it generates specific signals tailored to attract or repel the identified insect species. These signals may include acoustic waves, ultrasonic waves, substrate vibrations caused by ultrasonic waves, info chemical signals or modulated light patterns, 13depending on the behavior and susceptibility of the species in question. Finally, in step 116, the process concludes with a loop that ensures continuous monitoring of the environment, allowing the system to adapt in real time as new sounds and ultrasonic signals and insect species are detected.

[0055] In accordance with an embodiment of the present invention, Figure 2 illustrates a block diagram of the pest management device. The device comprises power generation components, where a solar panel 201 and wind turbine 202 may be provided to supply renewable energy. The hybrid power is managed by the solar and wind hybrid charge controller 203, which regulates the input from both sources and stores it in a battery 204, ensuring consistent power availability for the device. Alternatively, device can be powered using grid power 85VAC-305VAC 50Hz / 60Hz.

[0056] The device’s sensory components include an ultrasonic receiver sensor 205 and an acoustic sensor 206, both of which are responsible for capturing real-time environmental and insect-related data. These sensors relay their signals to the acoustic and ultrasonic signal receptor module 207, which processes and prepares the data for analysis. The device also includes various output mechanisms, such as a lamp 208, piezoelectric transducer 209, and acoustic transducer 210, ultrasonic transmitter 211, info chemical signal generator 225 which can be activated to influence pest behavior. All of these components are controlled by a single-board computer 213, which serves as the central processing unit for the device. The computer manages the data flow and decision-making processes, supported by storage memory 214 for data retention and analysis.

[0057] Signal conversion is also a critical part of the system, with multiple converters in place, including a DA converter 215, UHF DA converter 216, and AD converter 217. These converters ensure that the signals from various sensors and outputs are appropriately processed, converted, and relayed throughout the system. A low-power high-voltage converter 218 adjusts the energy for use by electrocution grid, while a modulator 219 alters and transmits signals to influence pest activity.

[0058] All of these components are housed in an enclosure 220, which protects the electronic systems from environmental factors while enabling the seamless operation of the pest management device. This system leverages multiple technologies and energy-efficient designs to provide a sustainable, intelligent solution for pest control.

[0059] The info-chemical signal generator module 225 is an important component of the pest management device, designed to release targeted info-chemicals that influence insect behavior. This module includes an info-chemical storage tank 224, which holds a reservoir of these 14specialized chemicals. The release of these chemicals is carefully controlled and initiated based on signals received from the Al module through the central processing unit CPU 213.

[0060] When the Al module determines that the release of info-chemicals is necessary, it sends instructions to the CPU 213. Upon receiving these instructions, the CPU activates the precision flow rate pump 221, which plays a vital role in regulating the flow of the info-chemicals. The precision flow rate pump ensures that the pre-determined amount of chemicals is delivered from the storage tank 224 to the info-chemical dispersion tank 222, preventing any waste or excessive use of info-chemicals.

[0061] Once the info-chemicals are transferred into the info-chemical dispersion tank 222, a dispersion fan 223 is engaged to distribute the info-chemicals evenly. The fan disperses the infochemicals in all directions, utilizing airflow to ensure that the info-chemicals reach the desired area effectively. This uniform distribution of info-chemicals enables the device to influence insect behavior over a wide coverage area, enhancing the overall effectiveness of the pest control system.

[0062] The combination of precise info-chemical release and controlled dispersion through the flow rate pump 221 and dispersion fan 223 ensures that the info-chemical signal generator module operates efficiently, targeting pest insects without wasting resources. This system offers an intelligent and environmentally friendly approach to pest control by using natural insect signals and cues to alter their behavior, instead of relying solely on physical extermination methods.

[0063] In accordance with an embodiment of the present invention, Figure 3 illustrates a schematic view of the pest management device 300. The main body of the device 301 houses its core components and provides structural integrity This solar panel is complemented by an auxiliary solar panel 305, which further enhances the device’s energy efficiency by generating additional solar power. The electronic system that controls the functionality of the pest management device 300 is enclosed within a protective enclosure 303, which shields the delicate electronics 304 from environmental factors while ensuring optimal operation. This enclosure contains the Al-enabled systems and other control modules necessary for the functioning of the device.

[0064] An optical source 306 is strategically placed within the device to attract insects. Insects are guided towards the electrocution grid 308, which is designed to eliminate pests through electrical discharge. The selection and guidance of insects toward the grid is aided by an insect selection bowl 307, which funnels insects to the appropriate areas for pest control.

[0065] Additionally, a wind turbine 309 is integrated into the device to harness wind energy, further supplementing the power requirements of the system, particularly in conditions where solar 15power may be less efficient. Together, the solar panels and the wind turbine allow for continuous and sustainable operation of the pest management device. Alternatively, grid power operation is optionally available.

[0066] In an embodiment, the system features a simple interface and automated processes, allowing farmers to manage pest control measures without the need for technical expertise. Once deployed, the system operates autonomously, using real-time data to adjust its interventions as needed. This makes the system accessible to a wide range of users, including those in remote or underserved regions where technical resources may be limited. Its ease of use ensures that farmers can implement effective pest management strategies without extensive training or manual adjustments.

[0067] In terms of long-term sustainability, the system is designed to continuously improve its performance. The self-autonomous Al module learns from the data it collects, allowing the system to refine its algorithms over time when connected to cloud server. This prevents pests from developing resistance or habituation to the control measures, ensuring long-term efficacy. By adapting to changing pest behaviors and environmental conditions, the system ensures that pest management remains effective over extended periods.

[0068] The disclosed system is designed to be scalable, making it suitable for a wide range of agricultural settings, from small farms to large-scale operations. Its Al and sensor technologies can be tailored to different crop types and farming scales, enhancing its utility across diverse agricultural environments. The flexibility of the system allows it to meet the specific needs of various regions and crop types, offering a universal solution for pest management. This scalability ensures that farmers of all scales can benefit from advanced, eco-friendly pest control methods.

[0069] Additionally, the invention simplifies pest management for farmers by leveraging realtime data processing and Al-driven decisions. The system provides immediate responses to pest threats, ensuring quick and accurate interventions. It operates as a stand-alone system that does not require constant network connectivity, making it ideal for use in remote areas. By functioning independently of external communication systems, the invention ensures reliable pest control in even the most challenging agricultural environments, providing consistent protection without the need for internet access.

[0070] In an embodiment, it combines prediction, prevention, and intervention, all driven by Al to ensure balanced and sustainable pest management. By predicting pest infestations, preventing them before they occur, and intervening only when necessary, the system reduces the reliance on 16pesticides. This not only protects crops but also ensures the conservation of beneficial insect species and supports biodiversity. The targeted interventions contribute to a healthier environment and promote long-term agricultural sustainability, aligning with modern eco-friendly farming practices.

[0071] In an embodiment, the Al Enabled Sustainable Insect-Pest Management Technology uses an advanced Al algorithm that detects insect species based on their unique acoustic and ultrasonic waves signatures. The system continuously listens to ambient sounds and ultrasonic signals within the agricultural environment using high-sensitivity acoustic and ultrasonic sensors. Once sound and ultrasonic signals are detected, the Al algorithm processes the data to extract relevant features such as frequency, amplitude, and pattern. These features are then compared against a pre-trained model within the system to accurately identify specific insect species. The entire process follows a systematic flowchart, starting from sound and ultrasonic signal capture, moving through feature extraction, and culminating in the generation of targeted responses based on the identified pest species. This structured approach ensures high accuracy in pest identification and enables realtime adjustments to pest management strategies.

[0072] In an embodiment, the device is designed to manage over 2000 species and further it can be upgraded to manage 40,000 plus agricultural pests, making it highly versatile for use in diverse farming environments. The system is capable of detecting and controlling a wide variety of insect species across multiple taxonomic orders, including herbivorous and omnivorous pests that are harmful to crops. This broad-spectrum management capability ensures that farmers can protect their crops from a range of insect threats without the need for multiple pest control systems. By using a single, comprehensive device, farmers can manage pest populations effectively and efficiently, thereby improving crop yields and reducing crop damage.

[0073] The invention is designed to not only control pests but also promote overall agricultural sustainability. By reducing the reliance on pesticides, the system helps maintain soil quality, as pesticide residues that can degrade soil health over time are minimized. Healthier soils, in turn, support stronger plant growth and enhance the crop's natural resistance to diseases. Additionally, the reduction of pest pressure leads to improved crop yields, as plants are less susceptible to damage from herbivorous and omnivorous insects. Farmers using this technology can expect higher productivity, healthier crops, and a more resilient agricultural ecosystem.

[0074] Below mentioned are some of the non-limiting experimental data for the present invention:Experiment 1 :

[0075] In an experiment, the crop / plants are citrus- sweet lime and mandarin and honey bee hive box kept in the citrus grove for pollination. Observations on the number and species of insect pests trapped / killed in the device were taken weekly. After the observations, the collection chamber was cleaned for the next observations. Table 1 shown below shows a result of the experiment to attract and trap insect pests.

[0076] Table 1 :

[0077] The data on insect pests collected in the electronic device deployed in sweet lime and mandarin farm revealed that the nocturnal and diurnal insect pests viz., Grasshoppers, Sugarcane Pyrilla, Semi loopers, Sugarcane White grub, Cutworms, Water beetles, Early shoot borer, Bark eating caterpillar, Helicoverpa, Spodoptera, Lemon butterfly and the like were trapped in the electronic device. The data in the table revealed that there was increasing and a decreasing trend in the insect pest population and trap catches. None of the honey bee or other predators / parasites was recorded in the trap.Experiment 2:18

[0078] In an experiment, the crop / plants are cotton. Observations on the number and species of insect pests trapped / killed in the device were taken weekly. After the observations, the collection chamber was cleaned for the next observations. Table 2 shows a result of the experiment, that is insects attracted and trapped in device.

[0079] Table 2:192021

[0080] Therefore, the insect communication system and an electronic device of the present invention are highly efficient and effective tool for monitoring and mass trapping of both the sexes of adult insect pests (crepuscular, diurnal and nocturnal). The trapped multiple insect pests in the collection chamber belonged to the herbivorous and omnivorous; nocturnal and diurnal. The beneficial insects such as honey bee, predators and parasites escaped out and thus maintained the balance of the ecosystem.

[0081] Some of the non-limiting advantages of the present invention are:• Selectivity and Precision: The Al-driven system specifically identifies and targets harmful pest species, minimizing the impact on beneficial insects like pollinators and predators, thus supporting ecological balance.• Enhanced Safety: The system eliminates risks associated with traditional electrocution devices, using Al-based monitoring and intervention strategies that pose no danger to operators, wildlife, or the environment.• Eco-Friendly Operation: By reducing reliance on chemical pesticides and minimizing waste, the system integrates seamlessly into natural ecosystems, promoting sustainable pest management without harmful residues.• Energy Efficiency: The Al-powered system optimizes energy consumption through efficient data processing, offering lower energy use compared to conventional electrocution devices.• Wide Coverage and Effectiveness: The system provides continuous monitoring and pest control across larger areas (up to 1 hectare or more radial distance over 195 ft), ensuring comprehensive pest management beyond the immediate vicinity of the device.• Technological Adaptability: The system continuously updates its detection and intervention strategies based on real-time data, allowing it to respond to changing pest behaviors and emerging threats more effectively.

[0082] Terms and phrases used in this document, and variations thereof, unless otherwise expressly stated, should be construed as open-ended as opposed to limiting. As examples of the foregoing: the term “including” should be read as mean “including, without limitation” or the like; the term “example” is used to provide exemplary instances of the item in discussion, not an exhaustive or limiting list thereof; and adjectives such as “conventional,” “traditional,” “standard,” “known” and terms of similar meaning should not be construed as limiting the item described to a given time period or to an item available as of a given time, but instead should be read to encompass conventional, traditional, normal, or standard technologies that may be available or known now or at any time in the future. Likewise, a group of items linked with the conjunction “and” should not be read as requiring that each and every one of those items be present in the grouping, but rather should be read as “and / or” unless expressly stated otherwise. Similarly, a group of items linked with the conjunction “or” should not be read as requiring mutual exclusivity among that group, but rather should also be read as “and / or” unless expressly stated otherwise. Furthermore, although item, elements or components of the disclosure may be described or claimed in the singular, the plural is contemplated to be within the scope thereof unless limitation to the singular is explicitly stated. The presence of broadening words and phrases such as “one or more,” “at least,” “but not limited to” or other like phrases in some instances shall not be read to mean that the narrower case is intended or required in instances where such broadening phrases may be absent.

[0083] For the purposes of this specification and appended claims, unless otherwise indicated, all numbers expressing amounts, sizes, dimensions, proportions, shapes, formulations, parameters, percentages, quantities, characteristics, and other numerical values used in the specification and claims, are to be understood as being modified in all instances by the term “about” even though the term “about” may not expressly appear with the value, amount, or range. Accordingly, unless indicated to the contrary, the numerical parameters set forth in the following specification and 23attached claims are not and need not be exact, but may be approximate and / or larger or smaller as desired, reflecting tolerances, conversion factors, rounding off, measurement error and the like, and other factors known to those of skill in the art depending on the desired properties sought to be obtained by the subject matter of the present invention. For example, the term “about,” when referring to a value can be meant to encompass variations of, in some embodiments ± 100%, in some embodiments ± 50%, in some embodiments ± 20%, in some embodiments ± 10%, in some embodiments ± 5%, in some embodiments ± 1%, in some embodiments ± 0.5%, and in some embodiments ± 0.1% from the specified amount, as such variations are appropriate to perform the disclosed methods or employ the disclosed compositions.

[0084] Further, the term “about” when used in connection with one or more numbers or numerical ranges, should be understood to refer to all such numbers, including all numbers in a range and modifies that range by extending the boundaries above and below the numerical values set forth. The recitation of numerical ranges by endpoints includes all numbers, e.g., whole integers, including fractions thereof, subsumed within that range (for example, the recitation of 1 to 5 includes 1, 2, 3, 4, and 5, as well as fractions thereof, e.g., 1.5, 2.25, 3.75, 4.1, and the like) and any range within that range.

[0085] All publications, patent applications, patents, and other references mentioned in the specification are indicative of the level of those skilled in the art to which the presently disclosed subject matter pertains. All publications, patent applications, patents, and other references are herein incorporated by reference to the same extent as if each individual publication, patent application, patent, and other reference was specifically and individually indicated to be incorporated by reference. It will be understood that, although a number of patent applications, patents, and other references are referred to herein, such reference does not constitute an admission that any of these documents forms part of the common general knowledge in the art. Although the foregoing subject matter has been described in some detail by way of illustration and example for purposes of clarity of understanding, it will be understood by those skilled in the art that certain changes and modifications can be practiced within the scope of the appended claims.

Claims

I / We Claim:

1. A pest management device (300), comprising: an acoustic sensor (206) and an ultrasonic sensor (205) configured to detect insect communication signals and incidental noises in real-time; an artificial intelligence (Al) module configured to analyze the detected sounds and identify pest species based on their unique acoustic and ultrasonic signatures; a signal emission system configured to generate and emit species -specific acoustic, ultrasonic, vibratory, info-chemical and optical signals to alter the behavior of detected pest species; an info-chemical signal generator module 225 designed to release targeted info-chemicals that influence insect behavior, comprising an info-chemical storage tank 224 to hold a reservoir of specialized chemicals, an info-chemical dispersion tank 222 to disperse the chemicals, a dispersion fan 223 to distribute the chemicals evenly in the dispersion tank 222, a precision flow rate pump to ensure that the pre-determined amount of info-chemicals is delivered from the storage tank 224 to the info-chemical dispersion tank 222, preventing any waste or excessive use of info-chemicals; an extermination mechanism comprising a high-voltage electrocution grid configured to eliminate identified harmful insect species attracted by the generated signals; and a protective alarm signal system configured to repel beneficial insects away from the pest management device.

2. The device as claimed in claim 1, wherein the self-autonomous Al module is trained using machine learning algorithms to continuously update insect identification accuracy based on new sound and ultrasonic signal data.

3. The device as claimed in claim 1, wherein the signal emission system is configured to generate specific optical patterns that attract nocturnal insect species.

4. The device as claimed in claim 1 , wherein the self-autonomous Al module is further configured to differentiate between herbivorous, omnivorous, carnivorous, parasitoids, and nectar-pollen feeding bees.

5. The device as claimed in claim 1, wherein the extermination mechanism utilizes low-power, high-voltage electronics to ensure energy-efficient operation and safety for humans, animals, and birds.

6. The device as claimed in claim 1 , wherein the protective alarm signal system releases modulated optical, acoustic, ultrasonic signals, and info-chemical signals to disperse and protect beneficial insects from the extermination mechanism.

7. The device as claimed in claim 1, wherein the device is configured to monitor and manage insect populations in an agricultural environment spanning an area of at least one hectare.

8. The device as claimed in claim 1, further comprising a data storage module configured to store historical insect detection data for analysis and future pest management predictions.

9. The device as claimed in claim 1 , wherein the self-autonomous Al module is configured to predict pest infestation levels based on current and historical sound data.

10. The device as claimed in claim 1, further comprising a network communication module configured to transmit insect detection and extermination data to a central monitoring system on need basis.

11. The device as claimed in claim 1, wherein the Al module can be remotely updated with new algorithms for improved insect identification and pest management strategies.

12. The device as claimed in claim 1, further comprising an automatic recalibration system that adjusts signal frequencies based on changing environmental conditions, such as temperature or humidity.

13. The device as claimed in claim 1, wherein the extermination mechanism is equipped with a safety feature that deactivates the high-voltage grid during adverse weather conditions to prevent damage.

14. The device as claimed in claim 1, wherein the signal emission system is capable of generating multi-modal signals.

15. The device as claimed in claim 1, wherein the self-autonomous Al module adjust the timing and intensity of signal emissions based on environmental conditions such as rainfall or wind speed.

16. A method for pest management, comprising: detecting, by an acoustic sensor (206) and ultrasonic sensor (205), insect communication signals and incidental noises in real-time;analysing, by an artificial intelligence (Al) module, the detected sounds and ultrasonic signals using an artificial intelligence self-autonomous (Al) module to identify insect species based on their unique acoustic and ultrasonic signatures; generating and emitting, by a signal emission system, species-specific acoustic, ultrasonic, vibratory, info-chemical and optical signals to alter the behavior of the identified pest species; attracting identified harmful insect species to a designated location using the generated signals; exterminating, high-voltage electrocution grid, the attracted harmful insect species; and repelling beneficial insects away from the pest management device by emitting protective alarm signals.

17. The method for pest management as claimed in claim 16, wherein info-chemicals signals are generated by an info-chemical signal generator module 225 releasing targeted info-chemicals from an info-chemical storage tank 224 to an info-chemical dispersion tank 222 to disperse the chemicals, a dispersion fan 223 evenly disperses the chemicals in the dispersion tank 222, a precision flow rate pump to ensure the delivery of pre-determined amount of chemicals from the storage tank 224 to the info-chemical dispersion tank 222, thereby preventing any waste or excessive use of chemicals.

Images