Forestry pest control system

Abstract

The invention relates to the technical field of forestry pest control, in particular to a forestry pest control system which comprises the following steps that S1, an unmanned aerial vehicle is started to work through a wireless remote controller, a motor is installed at the bottom of the unmanned aerial vehicle, and an infrared camera is installed at the output shaft end of the motor; the wireless remote controller starts the unmanned aerial vehicle to work, the infrared camera is combined with ground monitoring equipment, comprehensive coverage and real-time monitoring of forest diseases and insect pests are achieved, automatic recognition, real-time detection and accurate geographic positioning of the diseases and insect pests are achieved, the types of the diseases and insect pests are quickly recognized, and the number is counted; the system can immediately trigger an alarm, use a biological control method and release natural enemy insects of diseases and pests, when the diseases and pests are difficult to eliminate, the unmanned aerial vehicle and the spray head are started through the controller to spray pesticides to the diseases and pests on the forest, so that the deinsectization effect is achieved, and finally the ventilation and light transmission conditions in the forest are improved through intermediate cutting, pruning, forest thinning and other modes. And diseases and insect pests are reduced.

Description

Technical Field

[0001] The invention relates to the technical field of forest pest control, and in particular to a forest pest control system. Background Art

[0002] The existing technology is not accurate and efficient enough in the identification and analysis results of forest pests and diseases. It is unable to effectively locate the location of pests and diseases in a timely manner. When the pests and diseases reach the dangerous threshold, it is unable to timely alarm and cannot carry out pest control operations in a timely manner. Therefore, the effect of forest pest and disease control is poor. For this reason, we propose a forestry pest and disease control system to solve the above problems. Summary of the invention

[0003] The purpose of the present invention is to provide a forestry pest control system to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a forestry pest control system, comprising the following steps:

[0005] S1. Start the UAV through the wireless remote control. A motor is installed at the bottom of the UAV, and an infrared camera is installed at the output shaft end of the motor. The infrared camera is combined with ground monitoring equipment to achieve comprehensive coverage and real-time monitoring of forest pests and diseases;

[0006] S2. Integrate multiple data sources through a big data algorithm platform to achieve automatic identification, real-time detection and precise geographic positioning of pests and diseases;

[0007] S3, based on artificial intelligence algorithms, intelligently analyze the captured spores or pest images to quickly identify the types of pests and diseases and count their numbers;

[0008] S4. Once the pests and diseases are detected to reach the dangerous threshold, the system will immediately trigger the alarm, the alarm will start the alarm operation, and send early warning information to relevant personnel through various communication methods;

[0009] S5. Use biological control methods, release natural enemies of pests and diseases, and eliminate them through insects. Release 3,000 to 5,000 natural enemies per acre of forest.

[0010] S6. When the pests and diseases are difficult to eliminate, the drone is started through the controller. The drone is equipped with a spray device, which consists of a storage box, a nozzle, a water pump and a motor. The storage box can store 300 to 500 kilograms of medicine. The water pump extracts the medicine, and the motor drives the nozzle to rotate. The nozzle sprays the medicine on the pests and diseases on the trees, thereby achieving the effect of eliminating pests.

[0011] S7. Finally, improve the ventilation and light conditions in the forest through thinning, pruning, and thinning, and reduce the occurrence of diseases and insect pests.

[0012] Further preferably, the S1 mid-infrared camera can be used to monitor diseases and pests on trees. In smart agriculture, the insect monitoring lamp device that integrates the Internet of Things and intelligent sensing technology has a built-in high-definition camera. The camera can collect insect photos in real time and upload them to the Internet of Things cloud platform for automatic identification and counting, thereby analyzing and predicting the occurrence of insect pests.

[0013] Further preferably, the big data platform in S2 can automatically analyze images and data and identify signs of pests and diseases. For example, by analyzing the color changes, morphological distortions and other characteristics of leaves, the platform can quickly detect areas affected by pests and diseases. Real-time detection technology ensures the instant updating of monitoring data, allowing managers to respond to outbreaks of pests and diseases in a timely manner.

[0014] Further preferably, the artificial intelligence algorithms in S3, especially deep learning technology, play an important role in agricultural pest management. By training models to identify specific pest images, these algorithms can quickly and accurately analyze captured spores or pest images, thereby realizing the identification and quantity statistics of pest types.

[0015] Further preferably, the alarm in S4 is powered by a battery, and photovoltaic panels are installed in the forest area. The photovoltaic panels convert light energy into electrical energy and store it in the battery, thereby achieving the purpose of saving electricity.

[0016] Further preferably, the motor in S5 drives the nozzle to rotate, and the nozzle rotates at an angle of 20 to 180 degrees, so that pests and diseases at different positions in the forest can be eliminated, thereby improving practicality.

[0017] Further preferably, the spraying of the agent by the spray device in S5 has the advantages of uniform agent spraying, precise target, high operation efficiency, etc.

[0018] Further preferably, the natural enemy insects of the pests and diseases in S6 include: trichogrammatids, aphid midges, beneficial bugs, caterpillars and aphid wasps. Trichogrammatids are a kind of parasitic natural enemy insects widely used in biological control. They specialize in parasitizing in the eggs of lepidopteran pests, lay eggs in the pest eggs, consume the nutrients in the eggs, and thus prevent the development of the pests. Aphid midges are predatory natural enemies of aphids, which can effectively control the number of various aphids and help reduce the risk of aphids spreading viruses. Beneficial bugs and caterpillars can prey on a variety of agricultural and forestry pests, which is helpful for long-term prevention and control of pests and diseases. Aphid wasps are parasitic natural enemies of aphids, which limit the number of aphids by parasitizing in the aphids.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows: the wireless remote control of the present invention starts the operation of the drone, and the infrared camera is combined with the ground monitoring equipment to fully cover and monitor forest pests and diseases in real time, realize automatic identification, real-time detection and precise geographic positioning of pests and diseases, quickly identify the types of pests and diseases and count their numbers. Once the pests and diseases are monitored to reach a dangerous threshold, the system will immediately trigger an alarm, use biological control methods, release the natural enemy insects of the pests and diseases, and when the pests and diseases are difficult to eliminate, the drone is immediately started through the controller, and the nozzle sprays pesticides on the pests and diseases on the trees, thereby achieving the effect of pest control. Finally, thinning, pruning, and thinning the forest are used to improve the ventilation and light conditions in the forest and reduce the occurrence of pests and diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flow chart of the steps of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Embodiment 1

[0023] See also Figure 1 The present invention provides a technical solution: a forestry pest control system, comprising the following steps:

[0024] S1. Start the UAV through the wireless remote control. A motor is installed at the bottom of the UAV, and an infrared camera is installed at the output shaft end of the motor. The infrared camera is combined with ground monitoring equipment to achieve comprehensive coverage and real-time monitoring of forest pests and diseases;

[0025] S2. Integrate multiple data sources through a big data algorithm platform to achieve automatic identification, real-time detection and precise geographic positioning of pests and diseases;

[0026] S3, based on artificial intelligence algorithms, intelligently analyze the captured spores or pest images to quickly identify the types of pests and diseases and count their numbers;

[0027] S4. Once the pests and diseases are detected to reach the dangerous threshold, the system will immediately trigger the alarm, the alarm will start the alarm operation, and send early warning information to relevant personnel through various communication methods;

[0028] S5. Use biological control methods, release natural enemy insects of pests and diseases, and eliminate pests and diseases through insects. Release 3,000 natural enemy insects per acre of forest;

[0029] S6. When the pests and diseases are difficult to eliminate, the drone is started through the controller. The drone is equipped with a spray device, which consists of a storage box, a nozzle, a water pump and a motor. The storage box can store 300 kg of medicine. The water pump extracts the medicine, and the motor drives the nozzle to rotate. The nozzle sprays the medicine on the pests and diseases on the trees, thereby achieving the effect of eliminating pests.

[0030] S7. Finally, improve the ventilation and light conditions in the forest through thinning, pruning, and thinning, and reduce the occurrence of diseases and insect pests.

[0031] In this embodiment, specifically: S1 mid-infrared camera can be used to monitor pests and diseases on trees. In smart agriculture, the insect monitoring lamp device that integrates the Internet of Things and intelligent sensing technology has a built-in high-definition camera. The camera can collect insect photos in real time and upload them to the Internet of Things cloud platform for automatic identification and counting, so as to analyze and predict the occurrence of insect pests;

[0032] In this embodiment, specifically: the big data platform in S2 can automatically analyze images and data to identify signs of pests and diseases. For example, by analyzing the color changes and morphological distortions of leaves, the platform can quickly detect areas affected by pests and diseases. Real-time detection technology ensures the instant update of monitoring data, allowing managers to respond to the outbreak of pests and diseases in a timely manner;

[0033] In this embodiment, specifically: artificial intelligence algorithms in S3, especially deep learning technology, play an important role in agricultural pest management. By training models to identify specific pest images, these algorithms can quickly and accurately analyze captured spores or pest images, thereby realizing the identification and quantity statistics of pest types;

[0034] In this embodiment, specifically: the alarm in S4 is powered by a battery, and photovoltaic panels are installed in the forest area. The photovoltaic panels convert light energy into electrical energy and store it in the battery, thereby achieving the purpose of saving electrical energy;

[0035] In this embodiment, specifically: in S5, the motor drives the nozzle to rotate, and the nozzle rotates at an angle of 20 to 180 degrees, so that pests and diseases at different positions in the forest can be eliminated, thereby improving practicality;

[0036] In this embodiment, specifically: spraying the agent by the spray device in S5 has the advantages of uniform agent spraying, precise target, high operation efficiency, etc.

[0037] In this embodiment, specifically: the natural enemy insects of the pests and diseases in S6 include: trichogrammatids, aphid midges, beneficial bugs, caterpillars and aphid wasps. Trichogrammatids are a parasitic natural enemy insect widely used in biological control. They specialize in parasitizing the eggs of lepidopteran pests, lay eggs in the pest eggs, consume the nutrients in the eggs, and thus prevent the development of the pests. Aphid midges are predatory natural enemies of aphids, which can effectively control the number of various aphids and help reduce the risk of aphids spreading viruses. Beneficial bugs and caterpillars can prey on a variety of agricultural and forestry pests, which is helpful for long-term prevention and control of pests and diseases. Aphid wasps are parasitic natural enemies of aphids, which limit the number of aphids by parasitizing in the aphids.

[0038] Embodiment 2

[0039] See also Figure 1 The present invention provides a technical solution: a forestry pest control system, comprising the following steps:

[0040] S1. Start the UAV through the wireless remote control. A motor is installed at the bottom of the UAV, and an infrared camera is installed at the output shaft end of the motor. The infrared camera is combined with ground monitoring equipment to achieve comprehensive coverage and real-time monitoring of forest pests and diseases;

[0041] S2. Integrate multiple data sources through a big data algorithm platform to achieve automatic identification, real-time detection and precise geographic positioning of pests and diseases;

[0042] S3, based on artificial intelligence algorithms, intelligently analyze the captured spores or pest images to quickly identify the types of pests and diseases and count their numbers;

[0043] S4. Once the pests and diseases are detected to reach the dangerous threshold, the system will immediately trigger the alarm, the alarm will start the alarm operation, and send early warning information to relevant personnel through various communication methods;

[0044] S5. Use biological control methods, release natural enemy insects of pests and diseases, and eliminate pests and diseases through insects. Release 4,000 natural enemy insects per acre of forest;

[0045] S6. When the pests and diseases are difficult to eliminate, the drone is started through the controller. The drone is equipped with a spray device, which consists of a storage box, a nozzle, a water pump and a motor. The storage box can store 400 kg of medicine. The water pump extracts the medicine, and the motor drives the nozzle to rotate. The nozzle sprays the medicine on the pests and diseases on the trees, thereby achieving the effect of eliminating pests.

[0046] S7. Finally, improve the ventilation and light conditions in the forest through thinning, pruning, and thinning, and reduce the occurrence of diseases and insect pests.

[0047] In this embodiment, specifically: S1 mid-infrared camera can be used to monitor pests and diseases on trees. In smart agriculture, the insect monitoring lamp device that integrates the Internet of Things and intelligent sensing technology has a built-in high-definition camera. The camera can collect insect photos in real time and upload them to the Internet of Things cloud platform for automatic identification and counting, so as to analyze and predict the occurrence of insect pests;

[0048] In this embodiment, specifically: the big data platform in S2 can automatically analyze images and data to identify signs of pests and diseases. For example, by analyzing the color changes and morphological distortions of leaves, the platform can quickly detect areas affected by pests and diseases. Real-time detection technology ensures the instant update of monitoring data, allowing managers to respond to the outbreak of pests and diseases in a timely manner;

[0049] In this embodiment, specifically: artificial intelligence algorithms in S3, especially deep learning technology, play an important role in agricultural pest management. By training models to identify specific pest images, these algorithms can quickly and accurately analyze captured spores or pest images, thereby realizing the identification and quantity statistics of pest types;

[0050] In this embodiment, specifically: the alarm in S4 is powered by a battery, and photovoltaic panels are installed in the forest area. The photovoltaic panels convert light energy into electrical energy and store it in the battery, thereby achieving the purpose of saving electrical energy;

[0051] In this embodiment, specifically: in S5, the motor drives the nozzle to rotate, and the nozzle rotates at an angle of 20 to 180 degrees, so that pests and diseases at different positions in the forest can be eliminated, thereby improving practicality;

[0052] In this embodiment, specifically: spraying the agent by the spray device in S5 has the advantages of uniform agent spraying, precise target, high operation efficiency, etc.

[0053] In this embodiment, specifically: the natural enemy insects of the pests and diseases in S6 include: trichogrammatids, aphid midges, beneficial bugs, caterpillars and aphid wasps. Trichogrammatids are a parasitic natural enemy insect widely used in biological control. They specialize in parasitizing the eggs of lepidopteran pests, lay eggs in the pest eggs, consume the nutrients in the eggs, and thus prevent the development of the pests. Aphid midges are predatory natural enemies of aphids, which can effectively control the number of various aphids and help reduce the risk of aphids spreading viruses. Beneficial bugs and caterpillars can prey on a variety of agricultural and forestry pests, which is helpful for long-term prevention and control of pests and diseases. Aphid wasps are parasitic natural enemies of aphids, which limit the number of aphids by parasitizing in the aphids.

[0054] Embodiment 3

[0055] See also Figure 1 The present invention provides a technical solution: a forestry pest control system, comprising the following steps:

[0056] S1. Start the UAV through the wireless remote control. A motor is installed at the bottom of the UAV, and an infrared camera is installed at the output shaft end of the motor. The infrared camera is combined with ground monitoring equipment to achieve comprehensive coverage and real-time monitoring of forest pests and diseases;

[0057] S2. Integrate multiple data sources through a big data algorithm platform to achieve automatic identification, real-time detection and precise geographic positioning of pests and diseases;

[0058] S3, based on artificial intelligence algorithms, intelligently analyze the captured spores or pest images to quickly identify the types of pests and diseases and count their numbers;

[0059] S4. Once the pests and diseases are detected to reach the dangerous threshold, the system will immediately trigger the alarm, the alarm will start the alarm operation, and send early warning information to relevant personnel through various communication methods;

[0060] S5. Use biological control methods, release natural enemy insects of pests and diseases, and eliminate pests and diseases through insects. Release 5,000 natural enemy insects per acre of forest;

[0061] S6. When the pests and diseases are difficult to eliminate, the drone is started through the controller. The drone is equipped with a spray device, which consists of a storage box, a nozzle, a water pump and a motor. The storage box can store 500 kg of medicine. The water pump extracts the medicine, and the motor drives the nozzle to rotate. The nozzle sprays the medicine on the pests and diseases on the trees, thereby achieving the effect of eliminating pests.

[0062] S7. Finally, improve the ventilation and light conditions in the forest through thinning, pruning, and thinning, and reduce the occurrence of diseases and insect pests.

[0063] In this embodiment, specifically: S1 mid-infrared camera can be used to monitor pests and diseases on trees. In smart agriculture, the insect monitoring lamp device that integrates the Internet of Things and intelligent sensing technology has a built-in high-definition camera. The camera can collect insect photos in real time and upload them to the Internet of Things cloud platform for automatic identification and counting, so as to analyze and predict the occurrence of insect pests;

[0064] In this embodiment, specifically: the big data platform in S2 can automatically analyze images and data to identify signs of pests and diseases. For example, by analyzing the color changes and morphological distortions of leaves, the platform can quickly detect areas affected by pests and diseases. Real-time detection technology ensures the instant update of monitoring data, allowing managers to respond to the outbreak of pests and diseases in a timely manner;

[0065] In this embodiment, specifically: artificial intelligence algorithms in S3, especially deep learning technology, play an important role in agricultural pest management. By training models to identify specific pest images, these algorithms can quickly and accurately analyze captured spores or pest images, thereby realizing the identification and quantity statistics of pest types;

[0066] In this embodiment, specifically: the alarm in S4 is powered by a battery, and photovoltaic panels are installed in the forest area. The photovoltaic panels convert light energy into electrical energy and store it in the battery, thereby achieving the purpose of saving electrical energy;

[0067] In this embodiment, specifically: in S5, the motor drives the nozzle to rotate, and the nozzle rotates at an angle of 20 to 180 degrees, so that pests and diseases at different positions in the forest can be eliminated, thereby improving practicality;

[0068] In this embodiment, specifically: spraying the agent by the spray device in S5 has the advantages of uniform agent spraying, precise target, high operation efficiency, etc.

[0069] In this embodiment, specifically: the natural enemy insects of the pests and diseases in S6 include: trichogrammatids, aphid midges, beneficial bugs, caterpillars and aphid wasps. Trichogrammatids are a parasitic natural enemy insect widely used in biological control. They specialize in parasitizing the eggs of lepidopteran pests, lay eggs in the pest eggs, consume the nutrients in the eggs, and thus prevent the development of the pests. Aphid midges are predatory natural enemies of aphids, which can effectively control the number of various aphids and help reduce the risk of aphids spreading viruses. Beneficial bugs and caterpillars can prey on a variety of agricultural and forestry pests, which is helpful for long-term prevention and control of pests and diseases. Aphid wasps are parasitic natural enemies of aphids, which limit the number of aphids by parasitizing in the aphids.

[0070] In this embodiment, specifically: the UAV is started by a wireless remote control, a motor is installed at the bottom of the UAV, an infrared camera is installed at the output shaft end of the motor, and the infrared camera is combined with ground monitoring equipment to achieve comprehensive coverage and real-time monitoring of forest pests and diseases. A variety of data sources are integrated through a big data algorithm platform to achieve automatic identification, real-time detection and precise geographic positioning of pests and diseases. Based on artificial intelligence algorithms, intelligent analysis is performed on captured spores or pest images to quickly identify the types of pests and diseases and count their numbers. Once the pests and diseases are detected to reach a dangerous threshold, the system will immediately trigger an alarm, and the alarm will be used to alarm, and through a variety of communication methods Send early warning information to relevant personnel, use biological control methods, release natural enemy insects of pests and diseases, and eliminate pests and diseases through insects. Release 3,000 to 5,000 natural enemy insects for one acre of forest. When the pests and diseases are difficult to eliminate, start the drone through the controller. The drone is equipped with a spray device, which consists of a storage box, a nozzle, a water pump and a motor. The storage box can store 300 to 500 kilograms of medicine. The water pump draws out the medicine, and the motor drives the nozzle to rotate. The nozzle sprays the medicine on the pests and diseases on the trees, thereby achieving the effect of pest control. Finally, through thinning, pruning, and thinning, improve the ventilation and light conditions in the forest and reduce the occurrence of pests and diseases.

[0071] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A forestry pest control system, characterized in that: The following steps are involved: S1. Start the UAV through the wireless remote control. A motor is installed at the bottom of the UAV, and an infrared camera is installed at the output shaft end of the motor. The infrared camera is combined with ground monitoring equipment to achieve comprehensive coverage and real-time monitoring of forest pests and diseases; S2. Integrate multiple data sources through a big data algorithm platform to achieve automatic identification, real-time detection and precise geographic positioning of pests and diseases; S3, based on artificial intelligence algorithms, intelligently analyze the captured spores or pest images to quickly identify the types of pests and diseases and count their numbers; S4. Once the pests and diseases are detected to reach the dangerous threshold, the system will immediately trigger the alarm, the alarm will start the alarm operation, and send early warning information to relevant personnel through various communication methods; S5. Use biological control methods, release natural enemies of pests and diseases, and eliminate them through insects. Release 3,000 to 5,000 natural enemies per acre of forest. S6. When the pests and diseases are difficult to eliminate, the drone is started through the controller. The drone is equipped with a spray device, which consists of a storage box, a nozzle, a water pump and a motor. The storage box can store 300 to 500 kilograms of medicine. The water pump extracts the medicine, and the motor drives the nozzle to rotate. The nozzle sprays the medicine on the pests and diseases on the trees, thereby achieving the effect of eliminating pests. S7. Finally, improve the ventilation and light conditions in the forest through thinning, pruning, and thinning, and reduce the occurrence of diseases and insect pests.

2. A forestry pest control system according to claim 1, characterized in that: The S1 mid-infrared camera can be used to monitor pests and diseases on trees. In smart agriculture, the insect monitoring lamp device that integrates the Internet of Things and intelligent sensing technology has a built-in high-definition camera. The camera can collect insect photos in real time and upload them to the Internet of Things cloud platform for automatic identification and counting, thereby analyzing and predicting the occurrence of pests.

3. A forestry pest control system according to claim 2, characterized in that: The S2 big data platform can automatically analyze images and data to identify signs of pests and diseases. For example, by analyzing the color changes and morphological distortions of leaves, the platform can quickly detect areas affected by pests and diseases. Real-time detection technology ensures the instant updating of monitoring data, allowing managers to respond to pest and disease outbreaks in a timely manner.

4. A forestry pest control system according to claim 3, characterized in that: The artificial intelligence algorithms in the S3, especially deep learning technology, play an important role in agricultural pest management. By training models to identify specific pest images, these algorithms can quickly and accurately analyze captured spores or pest images, thereby realizing the identification and quantity counting of pest types.

5. A forestry pest control system according to claim 4, characterized in that: The alarm in S4 is powered by batteries. Photovoltaic panels are installed in the forest area. The photovoltaic panels convert light energy into electrical energy and store it in batteries, thereby achieving the purpose of saving electricity.

6. A forestry pest control system according to claim 5, characterized in that: The motor in S5 drives the nozzle to rotate, and the nozzle rotates at an angle of 20 to 180 degrees, so that pests and diseases at different positions in the trees can be eliminated, thereby improving practicality.

7. A forestry pest control system according to claim 6, characterized in that: The spraying of the medicine by the spray device in S5 has the advantages of uniform spraying of the medicine, precise target, high operation efficiency, etc.

8. A forestry pest control system according to claim 7, characterized in that: The natural enemy insects of the pests and diseases in S6 include: trichogrammatids, aphid midges, beneficial bugs, caterpillars and aphid wasps. Trichogrammatids are a kind of parasitic natural enemy insects widely used in biological control. They specialize in parasitizing the eggs of lepidopteran pests, lay eggs in the pest eggs, consume the nutrients in the eggs, and thus prevent the development of the pests. Aphid midges are predatory natural enemies of aphids, which can effectively control the number of various aphids and help reduce the risk of aphids spreading viruses. Beneficial bugs and caterpillars can prey on a variety of agricultural and forestry pests, which is helpful for long-term prevention and control of pests and diseases. Aphid wasps are parasitic natural enemies of aphids, which limit the number of aphids by parasitizing in the aphids.

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