• Insect pest monitoring instrument
  • Insect pest monitoring instrument
  • Insect pest monitoring instrument
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Insect pest monitoring instrument

Insect forecasting instruments integrate intelligent recognition, automation, broad monitoring capabilities, environmental sustainability, and data support for research and education, offering a comprehensive and efficient solution for agricultural pest monitoring.

 Insect Monitoring Equipment List:

1. R2 Insect Monitor

   - Specifications:

     - 500W Camera, Mains Power Supply

     - 500W Camera, Solar Power Supply

     - 240W Solar Panel + 200AH Gel Battery

2. R3 Insect Monitor (Stainless Steel Casing)

   - Specifications:

     - 500W Camera

     - 800W Camera

     - 1200W Camera

3. Solar Power System

   - Specifications:

     - Solar Power Supply (240W/200Ah)

4. R4 Insect Monitor

   - Specifications:

     - 500W Camera, Mains Power Supply

     - 500W Camera, Solar Power Supply

     - 800W Camera, Mains Power Supply

     - 800W Camera, Solar Power Supply

     - 1200W Camera, Mains Power Supply

     - 1200W Camera, Solar Power Supply

     - 2000W Camera, Mains Power Supply

     - 2000W Camera, Solar Power Supply

5. Solar Power System

   - Specifications:

     - Solar Power Supply (240W/200Ah)


Insect forecasting instruments, as intelligent agricultural pest monitoring devices, possess several notable characteristics that make them play a crucial role in agricultural pest monitoring and prevention. The following is a summary of these characteristics:

1. Intelligent Recognition and Analysis

  • Image Recognition Technology: Insect forecasting instruments utilize high-definition cameras to capture insect images in farmland and employ image processing and recognition algorithms to automatically analyze key information such as insect species, quantity, and activity status. This intelligent recognition method significantly enhances monitoring accuracy and efficiency.

  • Artificial Intelligence Algorithms: Combined with machine learning algorithms, these instruments continually optimize their recognition capabilities, enabling precise classification and counting of insects.

2. Real-time Monitoring and Early Warning

  • Real-time Data Transmission: Equipped with wireless communication technology, insect forecasting instruments transmit monitored data in real-time to remote cloud servers or mobile devices. This allows users to access insect information anytime, anywhere.

  • Warning Mechanism: By comparing known insect features or utilizing image recognition technology, the system immediately triggers an alarm mechanism and sends corresponding early warning information to users once abnormalities or preset thresholds are exceeded.

3. High Degree of Automation

  • Automatic Trapping and Killing: Insect forecasting instruments incorporate built-in insect-attracting lights and killing devices, automating the process of insect trapping and eradication, reducing manual intervention and potential misoperations.

  • Automated Workflow: From insect trapping to insect processing, photography, transmission, and collection, these instruments handle all steps automatically, enhancing monitoring efficiency and accuracy.

4. Broad Monitoring Range

  • Diverse Insect-attracting Lights: Utilizing various insect-attracting lights, these instruments can lure different insect species, ensuring a wide monitoring range that covers farmland, orchards, vegetable bases, and more.

  • Adjustable Settings: Users can tailor light sources, sensing ranges, and thresholds based on specific field environments and crop needs, achieving more precise monitoring.

5. Environmental Protection and Sustainability

  • Physical Trapping and Killing Methods: Insect forecasting instruments rely on physical methods for trapping and killing insects, eliminating the use of chemical pesticides and minimizing environmental impact, aligning with sustainable development goals.

  • Green Agriculture: By reducing unnecessary pesticide use, these instruments help lower control costs, improve control effectiveness, and mitigate pesticide pollution, fostering green and sustainable agricultural practices.

6. Data Support and Research Education

  • Big Data Analysis: These instruments collect vast amounts of insect data, storing it on cloud servers for analysis. Comprehensive analysis of historical data enables the system to predict insect trends and patterns, providing a scientific basis for agricultural production.

  • Research and Educational Tool: Insect forecasting instruments offer critical data support for agricultural research, allowing scientists to study insect occurrence patterns and control techniques. Additionally, they serve as valuable educational tools, helping students gain a hands-on understanding of insect hazards and control methods.


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