Description:FIELD OF DISCLOSURE
[0001] The present disclosure relates generally relates to agricultural automation and pest management systems. More specifically, it pertains to a robotic pest repellents system for enhanced polyhouse protection.
BACKGROUND OF THE DISCLOSURE
[0002] In the evolving landscape of agriculture, polyhouse farming has emerged as a transformative approach, offering controlled environments that enhance crop yield and quality.
[0003] Polyhouses, with their ability to regulate temperature, humidity, and other climatic factors, provide optimal conditions for plant growth, leading to increased productivity and resource efficiency.
[0004] However, despite these advantages, polyhouse cultivation faces significant challenges, particularly in pest management. The enclosed nature of polyhouses, while beneficial for crop protection against external elements, can inadvertently create ideal conditions for pest proliferation.
[0005] Traditional pest control methods, predominantly reliant on chemical pesticides, pose risks to human health, environmental sustainability, and can lead to pest resistance over time.
[0006] Integrated Pest Management (IPM) has been advocated as a sustainable alternative, combining biological, cultural, physical, and chemical tools to manage pest populations.
[0007] While IPM offers a holistic approach, its implementation in polyhouses is often labor-intensive and requires continuous monitoring, making it less feasible for large-scale or resource-constrained operations.
[0008] The need for an efficient, automated, and environmentally friendly pest control solution in polyhouse farming is evident.
[0009] Advancements in robotics, artificial intelligence (AI), and sensor technologies present an opportunity to revolutionize pest management in polyhouses.
[0010] Robotic systems, equipped with AI and machine learning algorithms, can autonomously monitor, detect, and respond to pest infestations with precision and minimal human intervention.
[0011] These systems can be designed to navigate the polyhouse environment, identify pest presence through visual or acoustic sensors, and deploy targeted deterrents or treatments.
[0012] Such an approach not only reduces reliance on chemical pesticides but also ensures timely and accurate pest control, enhancing crop health and yield.
[0013] The integration of robotics into pest management aligns with the broader trend of automation in agriculture, aiming to increase efficiency, reduce labor dependency, and promote sustainable practices.
[0014] In polyhouse settings, where environmental conditions are already controlled, the addition of robotic pest repellent systems complements the existing infrastructure, leading to a more resilient and productive agricultural model.
[0015] Polyhouse farming, also known as greenhouse farming, is a widely adopted agricultural practice that enables controlled cultivation of crops under protected environmental conditions.
[0016] This method provides farmers with the ability to regulate temperature, humidity, light, and other environmental factors, leading to improved yields and reduced susceptibility to adverse climatic variations.
[0017] However, despite the protective barriers of polyhouses, pest infestations remain a persistent challenge. Pests such as aphids, whiteflies, thrips, and mites can infiltrate polyhouses through small openings or get introduced via contaminated planting materials, leading to significant crop damage and economic losses.
[0018] Conventional methods of pest control within polyhouses primarily rely on manual spraying of pesticides or installing stationary pest traps. These approaches pose several limitations, including uneven pesticide distribution, excessive chemical use, labor intensiveness, and health risks to workers due to pesticide exposure.
[0019] Moreover, static pest control measures often lack adaptability and fail to provide comprehensive coverage, especially in large or complex polyhouse structures.
[0020] In recent years, there has been growing emphasis on minimizing chemical pesticide use to promote sustainable agriculture and reduce environmental contamination.
[0021] Accordingly, there is an unmet need for more effective, automated, and precise pest control solutions tailored for polyhouse environments.
[0022] Advancements in robotics and artificial intelligence have enabled the development of autonomous agricultural robots capable of performing various tasks such as seeding, harvesting, and spraying.
[0023] However, their application in targeted pest repellent systems within confined polyhouse settings remains underexplored. Integrating mobile robotic platforms with intelligent pest detection and repellent mechanisms offers the potential for dynamic, localized pest management, thereby reducing chemical dependency and improving crop health.
[0024] Furthermore, combining such robotic systems with sensors and IoT-enabled monitoring can facilitate real-time pest surveillance and automated response, enhancing overall polyhouse protection.
[0025] First, the initial cost of implementation can be significantly high, as integrating robotics, sensors, and intelligent control mechanisms requires advanced technology and infrastructure investment.
[0026] Additionally, the system may demand regular maintenance and technical expertise to ensure smooth functioning, posing challenges for farmers or growers without technical backgrounds.
[0027] There’s also a risk of limited adaptability to diverse pest types or new pest variants, which could reduce its long-term effectiveness unless frequent software or hardware upgrades are made.
[0028] Moreover, relying heavily on robotic repellents could lead to over-dependence on automation, potentially neglecting natural or integrated pest management practices that are more sustainable.
[0029] In case of system malfunctions or power failures, the polyhouse might become vulnerable to pest attacks, leading to crop damage without immediate manual intervention.
[0030] Lastly, issues related to robot navigation in complex or crowded polyhouse environments might arise, especially where plant density or layout hinders smooth robotic movement, limiting coverage or efficiency.
[0031] One of the foremost disadvantages of the robotic pest repellent system is its high initial cost of investment. Deploying robotics in agriculture, especially in specialized environments like polyhouses, demands significant capital expenditure.
[0032] The cost includes not only the purchase of the robotic units themselves but also expenses associated with integration of various sensors, cameras, software development, custom engineering, and installation.
[0033] Small-scale farmers or farmers operating in developing countries may find it economically unviable to invest such large sums up front, creating a barrier to adoption. Moreover, the cost of ongoing maintenance, software updates, and repairs further compounds the financial burden over time.
[0034] Closely related to the cost is the issue of technical complexity and maintenance requirements. A robotic pest repellent system relies on a suite of interconnected technologies, including autonomous navigation, pest detection algorithms, data analytics, artificial intelligence, and potentially Internet of Things (IoT) integration for remote monitoring.
[0035] While such technological sophistication enables high precision and automation, it also increases system complexity. In the event of a technical failure, system breakdown, or software glitch, specialized expertise will be required to troubleshoot and repair the system.
[0036] Polyhouse operators may not have access to such expertise locally, leading to delays, increased costs, and potential disruption in pest control activities.
[0037] Another disadvantage is the system’s dependence on stable power supply and connectivity infrastructure. The robotic units may need continuous or periodic charging to operate autonomously within the polyhouse.
[0038] In regions where electricity supply is inconsistent or unreliable, ensuring uninterrupted operation may necessitate the installation of backup power solutions, such as solar panels or generators, adding to the operational cost and infrastructure burden.
[0039] Furthermore, if the system depends on cloud-based data processing or remote monitoring via internet connectivity, areas with poor network coverage may experience degraded system performance or even inoperability.
[0040] The risk of system malfunction or failure poses another significant disadvantage. Agricultural environments are inherently dynamic and challenging, characterized by fluctuating temperatures, humidity levels, dust, soil particles, and plant debris.
[0041] These factors can negatively affect the mechanical and electronic components of the robotic system. For instance, sensors and cameras may become obstructed by dust or condensation, leading to inaccurate pest detection or navigation errors.
[0042] Mechanical parts such as wheels or arms may wear out or jam due to uneven terrain, plant entanglement, or debris accumulation. A malfunctioning robot may fail to repel pests effectively, thereby jeopardizing crop health and leading to potential yield losses.
[0043] Additionally, the robot’s pest detection accuracy and specificity may be limited in complex agricultural settings.
[0044] Detecting pests in real-time with high precision requires sophisticated image processing and machine learning models trained on large and diverse datasets.
[0045] However, variations in lighting conditions, plant morphology, overlapping foliage, and the presence of beneficial insects can confound detection algorithms.
[0046] False positives (misidentifying harmless insects as pests) and false negatives (failing to detect actual pests) may occur, undermining the effectiveness of the pest repellent action.
[0047] Inaccurate detection may lead to unnecessary pesticide applications or missed opportunities for timely intervention, negating the ecological and economic benefits intended by the system.
[0048] Another disadvantage arises from the restricted mobility and coverage limitations of robotic systems within polyhouses. Polyhouses are often densely packed with rows of plants, trellises, irrigation lines, and structural supports that can impede robot navigation.
[0049] Designing a robot that can maneuver efficiently in such confined spaces without damaging crops or infrastructure is a major engineering challenge. If the robot’s mobility is restricted or if certain areas are inaccessible, pests residing in those zones may proliferate unchecked, creating pest hotspots and undermining the holistic protection of the polyhouse environment.
[0050] The system’s potential environmental impact and energy consumption also warrant consideration. While the robotic pest repellent system may reduce the use of chemical pesticides, it introduces a new form of energy consumption associated with robot operation, charging cycles, and electronic waste.
[0051] Over time, the disposal of worn-out batteries, electronic components, and sensors may contribute to environmental pollution if not managed responsibly.
[0052] Moreover, if the robot relies on ultrasonic, electromagnetic, or other non-chemical repellence methods, the long-term ecological effects of such modalities on non-target organisms, pollinators, or the micro-ecosystem within the polyhouse remain insufficiently studied and could present unintended consequences.
[0053] User training and acceptance barriers represent another disadvantage. Operating and maintaining a robotic pest repellent system requires a certain level of technical literacy, including familiarity with software interfaces, troubleshooting protocols, and routine maintenance practices.
[0054] Farmers or workers who are accustomed to traditional pest management methods may resist adopting a highly automated system, perceiving it as overly complex or intimidating.
[0055] Resistance to change, coupled with a lack of training resources or support infrastructure, can limit user acceptance and hinder widespread adoption of the technology.
[0056] The robotic pest repellent system may also face regulatory and safety challenges. Depending on the region and country, the deployment of autonomous robots in agricultural environments may be subject to regulatory approvals, safety certifications, and compliance with occupational health standards.
[0057] Ensuring that the robotic system operates safely in proximity to humans, without posing risks of collision, injury, or interference with other machinery, requires robust safety mechanisms and rigorous testing.
[0058] Meeting these regulatory requirements can increase development timelines and costs while imposing additional administrative burdens.
[0059] From a business continuity and reliability perspective, the system’s dependence on proprietary technologies, software licenses, and vendor support introduces potential vulnerabilities.
[0060] If the system’s manufacturer discontinues support, ceases operations, or increases licensing fees, users may find themselves locked into a technology with limited upgrade paths or escalating costs.
[0061] Additionally, data privacy concerns may arise if the system collects, stores, or transmits data on crop health, environmental parameters, or pest occurrences to cloud servers controlled by third parties. Farmers may be apprehensive about data ownership, misuse, or breaches, especially if sensitive production information is involved.
[0062] Another significant disadvantage is the lack of flexibility and adaptability to changing pest dynamics or cropping systems. Pest populations and species composition in agricultural systems are dynamic and may shift over time due to climatic factors, introduction of invasive species, or changes in cropping patterns.
[0063] A robotic pest repellent system optimized for a specific pest profile may require costly reprogramming, retraining of machine learning models, or hardware modifications to address new or evolving pest threats.
[0064] This limits the system’s adaptability and may necessitate frequent updates to remain effective, adding to the long-term operational cost and complexity.
[0065] In polyhouse environments where integrated pest management (IPM) practices are employed, reliance on a robotic pest repellent system may inadvertently undermine other pest control strategies.
[0066] For example, the use of natural predators, biological control agents, or pheromone traps could be disrupted if the robot inadvertently targets beneficial organisms or alters environmental cues critical for biological control efficacy.
[0067] Balancing the robot’s automated interventions with broader ecosystem-based pest management approaches may require intricate system integration and coordination that is challenging to achieve.
[0068] Finally, there is a potential psychological and social impact on farm labor dynamics. Automation through robotics can displace or reduce the need for manual pest monitoring and control activities traditionally performed by farm workers. While automation may alleviate labor shortages, it can also lead to job displacement, loss of traditional knowledge, and reduced employment opportunities in rural communities.
[0069] The social implications of such technological disruptions need to be considered within the broader context of agricultural livelihoods, rural development, and equitable access to innovation.
[0070] Thus, in light of the above-stated discussion, there exists a need for a robotic pest repellents system for enhanced polyhouse protection.
SUMMARY OF THE DISCLOSURE
[0071] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0072] According to illustrative embodiments, the present disclosure focuses on a robotic pest repellents system for enhanced polyhouse protection which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0073] An objective of the present disclosure is to design and develop a system for robotic pest repellents capable of autonomously navigating a polyhouse environment to protect crops from insect and rodent attacks without relying on chemical pesticides.
[0074] Another objective of the present disclosure is to integrate ultrasonic speaker technology into mobile robotic platforms to emit high-frequency sounds that effectively repel, injure, or eliminate harmful pests while preserving beneficial organisms within the polyhouse ecosystem.
[0075] Another objective of the present disclosure is to provide an eco-friendly and non-toxic alternative to traditional chemical-based pest control methods, reducing environmental risks and minimizing adverse effects on human health and the surrounding biodiversity.
[0076] Another objective of the present disclosure is to enhance the efficiency and precision of pest control in polyhouses by enabling robots to deliver targeted ultrasonic pest repellent measures directly to affected areas, reducing the need for blanket applications of pesticides.
[0077] Another objective of the present disclosure is to develop an eco-friendly pest repellent system that minimizes the use of chemical pesticides in polyhouses through the deployment of robotic units.
[0078] Another objective of the present disclosure is to optimize the movement and coverage patterns of ultrasonic robots in polyhouses to achieve uniform and effective pest repelling across the entire protected cultivation area.
[0079] Another objective of the present disclosure is to automate pest control operations in polyhouses to reduce manual labor, improve operational efficiency, and ensure continuous pest surveillance and repelling.
[0080] Another objective of the present disclosure is to protect human health and consumer safety by eliminating the risk of chemical pesticide exposure through the use of robotic ultrasonic pest repellents.
[0081] Another objective of the present disclosure is to improve the overall safety, productivity, and profitability of polyhouse farming by reducing crop losses due to pest infestations through continuous, automated, and intelligent pest repellent operations.
[0082] Yet another objective of the present disclosure is to ensure the sustainability of pest management by mitigating the risk of pests developing resistance, a common drawback associated with repeated chemical pesticide use, thereby promoting long-term crop protection.
[0083] In light of the above, a robotic pest repellents system for enhanced polyhouse protection comprises a mobile robotic unit configured to autonomously navigate within a polyhouse environment. The system also includes at least one ultrasonic emission module configured to emit high-frequency sound waves within a predetermined ultrasonic range effective to repel or neutralize pests without harming plants, beneficial organisms, or humans. The system also includes a sensor module integrated with the robotic unit for detecting pest presence, crop conditions, and environmental parameters in real time. The system also includes a control unit operatively configured to process sensor data and dynamically adjust the movement pattern and ultrasonic emission parameters of the robotic unit to achieve targeted pest repellent action. The system also includes an autonomous robotic platform equipped with an ultrasonic pest repellent module and integrated sensing for dynamic, targeted pest control in a polyhouse, eliminating reliance on chemical pesticides and enabling sustainable, eco-friendly protection with comprehensive automated coverage.
[0084] In one embodiment, the mobile robotic unit comprises a sensor module configured to detect pest presence, crop health, and environmental parameters in real time to enhance the accuracy of pest repellent actions.
[0085] In one embodiment, the ultrasonic emission module is configured to emit variable frequency ultrasonic sound waves within a predetermined ultrasonic range to target specific types of pests while minimizing disturbance to beneficial organisms.
[0086] In one embodiment, the robotic unit comprises a control unit operatively configured to process data from the sensor module and dynamically adjust the robotic unit’s navigation path and ultrasonic emission parameters based on detected pest activity and environmental conditions.
[0087] In one embodiment, the mobile robotic unit is configured to autonomously navigate using a predefined map, real-time environmental feedback, or a combination thereof to ensure comprehensive and adaptive coverage of the polyhouse environment.
[0088] In one embodiment, the ultrasonic emission module and the sensor module are integrated within an autonomous robotic platform configured to continuously monitor and respond to pest presence without human intervention.
[0089] In one embodiment, the control unit is further configured to enable dynamic, localized emission of ultrasonic sound at varying intensities or frequencies based on pest density or species detected in different polyhouse zones.
[0090] In one embodiment, the robotic unit further comprises an energy management module configured to autonomously return to a charging station when power levels fall below a threshold, ensuring uninterrupted pest repellent operation.
[0091] In one embodiment, the system further comprises a communication interface configured to transmit operational data, sensor readings, and pest activity reports to a remote user interface for monitoring and adjustment purposes.
[0092] In one embodiment, a method for robotic pest repellents for enhanced polyhouse protection, the method comprises deploying one or more mobile robotic units within a polyhouse, each robotic unit configured with an ultrasonic speaker for emitting high-frequency sound waves. The method also includes autonomously navigating the robotic units across the polyhouse environment to ensure comprehensive spatial coverage. The method also includes detecting pest-prone zones or areas requiring targeted pest repelling based on pre-programmed routes or integrated sensors. The method also includes activating the ultrasonic speaker to emit ultrasonic frequencies effective to disrupt the nervous systems of pests including insects and rodents. The method also includes continuously or periodically repeating the autonomous navigation and ultrasonic emission cycles to maintain pest-free conditions in the polyhouse environment.
[0093] These and other advantages will be apparent from the present application of the embodiments described herein.
[0094] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0095] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0096] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0097] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0098] FIG. 1 illustrates a flowchart outlining sequential step involved in a robotic pest repellents system for enhanced polyhouse protection, in accordance with an exemplary embodiment of the present disclosure;
[0099] FIG. 2 illustrates the architectural block diagram of the robotic pest repellents for polyhouse protection, in accordance with an exemplary embodiment of the present disclosure.
[0100] Like reference, numerals refer to like parts throughout the description of several views of the drawing;
[0101] The system for robotic pest repellents for enhanced polyhouse protection, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0102] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0103] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0104] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0105] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0106] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0107] Referring now to FIG. 1 to FIG. 2 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a flowchart outlining sequential step involved in a robotic pest repellents system for enhanced polyhouse protection, in accordance with an exemplary embodiment of the present disclosure.
[0108] A robotic pest repellents system for enhanced polyhouse protection 100 comprises a mobile robotic unit 102 configured to autonomously navigate within a polyhouse environment. The mobile robotic unit 102 comprises a sensor module configured to detect pest presence, crop health, and environmental parameters in real time to enhance the accuracy of pest repellent actions. The robotic unit 102 comprises a control unit operatively configured to process data from the sensor module and dynamically adjust the robotic unit’s navigation path and ultrasonic emission parameters based on detected pest activity and environmental conditions. The mobile robotic unit 102 is configured to autonomously navigate using a predefined map, real-time environmental feedback, or a combination thereof to ensure comprehensive and adaptive coverage of the polyhouse environment. The robotic unit 102 further comprises an energy management module configured to autonomously return to a charging station when power levels fall below a threshold, ensuring uninterrupted pest repellent operation.
[0109] The system also includes at least one ultrasonic emission module 104 configured to emit high-frequency sound waves within a predetermined ultrasonic range effective to repel or neutralize pests without harming plants, beneficial organisms, or humans. The ultrasonic emission module 104 is configured to emit variable frequency ultrasonic sound waves within a predetermined ultrasonic range to target specific types of pests while minimizing disturbance to beneficial organisms.
[0110] The system also includes a sensor module 106 integrated with the robotic unit for detecting pest presence, crop conditions, and environmental parameters in real time. The ultrasonic emission module 104 and the sensor module 106 are integrated within an autonomous robotic platform configured to continuously monitor and respond to pest presence without human intervention.
[0111] The system also includes a control unit 108 operatively configured to process sensor data and dynamically adjust the movement pattern and ultrasonic emission parameters of the robotic unit to achieve targeted pest repellent action. The control unit 108 is further configured to enable dynamic, localized emission of ultrasonic sound at varying intensities or frequencies based on pest density or species detected in different polyhouse zones.
[0112] The system also includes an autonomous robotic platform 110 equipped with an ultrasonic pest repellent module and integrated sensing for dynamic, targeted pest control in a polyhouse, eliminating reliance on chemical pesticides and enabling sustainable, eco-friendly protection with comprehensive automated coverage.
[0113] The system also includes a communication interface configured to transmit operational data, sensor readings, and pest activity reports to a remote user interface for monitoring and adjustment purposes.
[0114] FIG. 1 illustrates a flowchart outlining sequential step involved in A robotic pest repellents system for enhanced polyhouse protection.
[0115] At 102, the operation commences with the activation of the mobile robotic unit, which is engineered to navigate autonomously within the polyhouse environment. Equipped with advanced navigation algorithms and sensors, the robot maps the layout of the polyhouse, identifying rows of crops, structural elements, and potential obstacles. This mapping enables the robot to plan efficient paths for coverage, ensuring that all areas are monitored and treated as necessary. The autonomous navigation capability is crucial for consistent and thorough pest monitoring and control, especially in large or complex polyhouse structures.
[0116] At 106, as the robot traverses the polyhouse, it continuously collects data through its integrated sensor module. This module comprises various sensors, including visual cameras, infrared detectors, and environmental sensors that monitor parameters such as temperature and humidity. The primary function of these sensors is to detect the presence of pests and assess crop conditions in real-time. Advanced image processing and pattern recognition algorithms analyze the sensor data to identify pest infestations accurately. Early detection is vital for effective pest management, allowing for prompt intervention before infestations can cause significant damage.
[0117] The collected sensor data is transmitted to the robot's control unit, which serves as the central processing hub. Utilizing sophisticated algorithms and machine learning models, the control unit interprets the data to determine the severity and location of pest infestations. It assesses factors such as pest type, population density, and potential impact on crops. Based on this analysis, the control unit makes informed decisions regarding the deployment of pest repellent measures. The decision-making process is dynamic, adapting to changing conditions within the polyhouse to optimize pest control strategies.
[0118] At 104, upon identifying areas requiring intervention, the control unit activates the ultrasonic emission module. This module emits high-frequency sound waves within a predetermined ultrasonic range that is effective in repelling or neutralizing pests. The ultrasonic frequencies are carefully selected to target specific pests while ensuring they do not harm plants, beneficial organisms, or humans. The emission parameters, such as frequency and duration, are dynamically adjusted based on the severity of the infestation and the specific pest species detected. This targeted approach minimizes disruption to the polyhouse ecosystem and reduces the reliance on chemical pesticides.
[0119] At 108, throughout its operation, the robotic system maintains detailed logs of its activities, including navigation paths, sensor readings, pest detection instances, and repellent deployments. This data is invaluable for tracking pest trends, assessing the effectiveness of control measures, and informing future pest management strategies. The system can generate comprehensive reports for polyhouse managers, providing insights into pest dynamics and the performance of the robotic interventions. These reports support data-driven decision-making and facilitate continuous improvement in pest management practices.
[0120] Regular maintenance and system optimization are integral to the sustained performance of the robotic pest repellent system. The robot's hardware components, such as sensors and ultrasonic emitters, require periodic inspection and calibration to ensure accuracy and functionality. Software updates may be necessary to enhance algorithms, incorporate new pest detection capabilities, or improve navigation efficiency. Ongoing training of the machine learning models with updated data sets ensures that the system adapts to emerging pest threats and changing environmental conditions within the polyhouse.
[0121] At 110, following the deployment of ultrasonic repellents, the robot continues to monitor the treated areas to evaluate the effectiveness of the intervention. The sensor module collects post-treatment data, which the control unit analyzes to determine if pest activity has decreased. If pests persist, the system can adjust its strategy, such as modifying ultrasonic frequencies or increasing emission durations. This adaptive response ensures that pest control measures remain effective over time and can respond to evolving pest behaviors or resistance patterns.
[0122] FIG. 2 illustrates the architectural block diagram of the robotic pest repellents for polyhouse protection.
[0123] At 202, the foundation of this system is the polyhouse itself—a greenhouse-like structure designed to regulate environmental conditions such as temperature, humidity, and light. This controlled setting not only promotes healthy plant growth but also provides a defined space for the robotic system to operate efficiently. The polyhouse's layout, including the arrangement of plant rows and aisles, is mapped and stored within the system to facilitate precise navigation and coverage.
[0124] At 204, once the polyhouse environment is established, the next step involves deploying one or more mobile robotic units within the space. These robots are equipped with ultrasonic emission modules and a suite of sensors, enabling them to perform their tasks autonomously. The deployment process includes initializing the robots' systems, calibrating their sensors, and ensuring they are ready to navigate the polyhouse environment without human intervention.
[0125] At 206, upon deployment, the robots commence autonomous navigation throughout the polyhouse. Utilizing pre-programmed routes or real-time navigation algorithms, the robots traverse the aisles and rows, systematically covering the entire area. Their navigation systems are designed to adapt to dynamic changes within the environment, such as obstacles or alterations in the layout, ensuring uninterrupted operation and comprehensive coverage.
[0126] At 208, as the robots navigate the polyhouse, they continuously monitor their surroundings using integrated sensor modules. These sensors detect various indicators of pest presence, including motion, heat signatures, or other environmental cues. The data collected is processed in real-time, allowing the robots to identify zones with active or potential pest infestations accurately.
[0127] At 210, upon detecting pests, the robots activate their ultrasonic emission modules. These modules emit high-frequency sound waves specifically calibrated to disrupt the nervous systems of pests such as insects and rodents. The ultrasonic frequencies are carefully selected to ensure they are effective against pests while remaining harmless to plants, beneficial insects, and humans. The emission is targeted, focusing on identified pest-infested zones to maximize efficiency and minimize energy consumption.
[0128] At 212, after emitting ultrasonic frequencies, the robots enter a coverage verification phase. This step involves assessing whether the entire polyhouse has been effectively treated, ensuring no areas are left unaddressed. Simultaneously, the robots record data on crop health and pest activity, storing valuable insights that can inform future operations. This continuous monitoring enables the system to adapt dynamically, refining its pest control strategies based on environmental changes and pest behavior over time.
[0129] At 214, the robotic pest repellent system is designed for continuous operation, allowing the robots to function over extended periods without manual intervention. However, to maintain effectiveness and longevity, the robots undergo periodic maintenance. This includes recharging their power supplies, updating software, and adjusting operational parameters as needed. Regular maintenance ensures the robots remain functional, accurate, and capable of adapting to evolving pest threats and environmental conditions.
[0130] At 216, following maintenance, the robots are reintroduced into continuous operation, creating a cyclical workflow encompassing navigation, detection, pest control, coverage verification, data recording, and system upkeep. This cycle ensures the polyhouse remains consistently protected without relying on chemical pesticides, promoting sustainable and eco-friendly agricultural practices.
[0131] At 218, repeating the autonomous navigation and ultrasonic emission cycles continuously or periodically to maintain pest-free conditions within the polyhouse environment.
[0132] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0133] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0134] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0135] Disjunctive language such as the phrase “at least one of X, Y, Z,” unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0136] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A robotic pest repellents system for enhanced polyhouse protection (100) comprising:
a mobile robotic unit (102) configured to autonomously navigate within a polyhouse environment;
at least one ultrasonic emission module (104) configured to emit high-frequency sound waves within a predetermined ultrasonic range effective to repel or neutralize pests without harming plants, beneficial organisms, or humans;
a sensor module (106) integrated with the robotic unit for detecting pest presence, crop conditions, and environmental parameters in real time;
a control unit (108) operatively configured to process sensor data and dynamically adjust the movement pattern and ultrasonic emission parameters of the robotic unit to achieve targeted pest repellent action;
an autonomous robotic platform (110) equipped with an ultrasonic pest repellent module and integrated sensing for dynamic, targeted pest control in a polyhouse, eliminating reliance on chemical pesticides and enabling sustainable, eco-friendly protection with comprehensive automated coverage.
2. The system (100) as claimed in claim 1, wherein the mobile robotic unit 102 comprises a sensor module configured to detect pest presence, crop health, and environmental parameters in real time to enhance the accuracy of pest repellent actions.
3. The system (100) as claimed in claim 1, wherein the ultrasonic emission module 104 is configured to emit variable frequency ultrasonic sound waves within a predetermined ultrasonic range to target specific types of pests while minimizing disturbance to beneficial organisms.
4. The system (100) as claimed in claim 1, wherein the robotic unit 102 comprises a control unit operatively configured to process data from the sensor module and dynamically adjust the robotic unit’s navigation path and ultrasonic emission parameters based on detected pest activity and environmental conditions.
5. The system (100) as claimed in claim 1, wherein the mobile robotic unit 102 is configured to autonomously navigate using a predefined map, real-time environmental feedback, or a combination thereof to ensure comprehensive and adaptive coverage of the polyhouse environment.
6. The system (100) as claimed in claim 1, wherein the ultrasonic emission module 104 and the sensor module 106 are integrated within an autonomous robotic platform configured to continuously monitor and respond to pest presence without human intervention.
7. The system (100) as claimed in claim 1, wherein the control unit 108 is further configured to enable dynamic, localized emission of ultrasonic sound at varying intensities or frequencies based on pest density or species detected in different polyhouse zones.
8. The system (100) as claimed in claim 1, wherein the robotic unit 102 further comprises an energy management module configured to autonomously return to a charging station when power levels fall below a threshold, ensuring uninterrupted pest repellent operation.
9. The system (100) as claimed in claim 1, wherein the system further comprises a communication interface configured to transmit operational data, sensor readings, and pest activity reports to a remote user interface for monitoring and adjustment purposes.
10. A method for robotic pest repellents for enhanced polyhouse protection, the method comprising:
deploying one or more mobile robotic units within a polyhouse, each robotic unit configured with an ultrasonic speaker for emitting high-frequency sound waves;
autonomously navigating the robotic units across the polyhouse environment to ensure comprehensive spatial coverage;
detecting pest-prone zones or areas requiring targeted pest repelling based on pre-programmed routes or integrated sensors;
activating the ultrasonic speaker to emit ultrasonic frequencies effective to disrupt the nervous systems of pests including insects and rodents;
continuously or periodically repeating the autonomous navigation and ultrasonic emission cycles to maintain pest-free conditions in the polyhouse environment.