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Time:2026-02-16 10:42:04 Popularity:9
In the field of modern agricultural pest and disease control, “green” and “precise” have become the core pursuits of the industry. Traditional control methods that rely heavily on chemical pesticides not only easily cause pesticide residues in agricultural products and disrupt ecological balance but also struggle to precisely address the dynamic windows of pest outbreaks, resulting in low control efficiency and high costs.
As a smart agriculture hardware manufacturer, NiuBoL's independently developed insect forecasting instrument takes insect biological characteristics as the core, deeply integrates Internet of Things (IoT) and Artificial Intelligence (AI) technologies, building a new green plant protection path of “targeted trapping - intelligent recognition - scientific decision-making.” This is not only an upgrade of the equipment but also injects key momentum into the sustainable development of agriculture.

For a long time, pest and disease monitoring has faced multiple challenges, becoming a bottleneck restricting the development of green agriculture.
Insufficient monitoring accuracy, data distortion: Traditional manual patrols rely on experiential judgment, easily leading to lagged monitoring data due to “visual blind spots.” Ordinary trapping devices often trap non-target insects due to lack of specificity, making statistical data unreliable for control.
Heavy reliance on chemical agents, heavy ecological cost: Lack of precise early warning leads farmers to “spray when seeing pests” or “spray regularly,” forming a vicious cycle of increased pest resistance and environmental pollution.
High labor costs: Traditional monitoring requires regular manual field patrols and manual counting. In large-scale planting scenarios, it is extremely difficult to achieve real-time dynamic monitoring, easily missing the best control timing.

| Parameter Category | Specification/Value | Remarks/Value Description |
|---|---|---|
| Overall Structure | 304 stainless steel + galvanized spray-coated bracket | Corrosion-resistant, wind-resistant and rain-resistant, suitable for long-term outdoor deployment |
| Overall Structure | Overall Height :2.0–2.5 m | Insect-attracting port height 1.2–2.0 m adjustable, suitable for different crop canopies |
| Overall Structure | Protection Rating :IP65 | Fully sealed, dustproof and waterproof, adaptable to rainy and dusty environments |
| Insect Attraction System | Insect-Attracting Light Source: LED tube, wavelength 365–395 nm | Main wavelength targets the strongest phototaxis of most agricultural pests, high trapping efficiency |
| Insect Attraction System | Tube Power :≥8–18 W (typical 12–18 W) | Energy-saving and efficient, tube lifespan ≥20,000 hours |
| Insect Attraction System | Impact Screen :5 mm transparent glass plate, radial 4 pieces | Multi-path induction of light transmission/reflection/direct exposure, enhanced trapping effect |
| Insect Body Treatment | Treatment Method :Far-infrared lethal + 90℃ high-temperature baking | Insect body intact, dry and flat, convenient for AI identification and specimen preservation, no chemical residue |
| Insect Body Treatment | Lethal Time: 3–5 minutes after falling in | Natural death, preventing escape |
| Insect Body Treatment | Baking Time/Temperature :Default 15 minutes / 90℃ ±5℃ (adjustable) | Thorough drying, insect body not prone to mildew |
| Insect Body Treatment | Insect Clearing Method :Vibration flattening + automatic cleaning device | After photography, automatically falls into bottom drawer, reducing manual intervention |
| Camera & Identification | Image Sensor ≥12 megapixel industrial camera | Supports timed/quantitative photography, high-definition images for AI species identification and counting |
| Control & Intelligence | Control Method :Light control + time control (up to 4 periods) + rain control | Light control: automatic day/night; time control: custom periods; rain control: automatic drainage to prevent short circuit |
| Control & Intelligence | Communication Interface :RS485 / RS232 (Modbus RTU) + 4G / Ethernet | Supports connection to weather stations and cloud platforms for real-time data upload |
| Data Transmission | 4G | Remote viewing of insect situation curves, early warning push notifications |
| Power Supply System | Solar + lithium battery | Solar panel ≥60 W monocrystalline silicon; battery 12V 40Ah lithium iron phosphate |
| Power Supply System | Operating Power / Standby Power :≤15 W / ≤5 W | Ultra-low power consumption, ≥7–10 days endurance in continuous rainy days |
| Other | GB/T 24689.1-2009 | National standard for plant protection machinery insect forecasting lamps, full coverage of safety and technical requirements |
| Other | Operating Temperature Range :-20℃ ~ +60℃ | Adaptable to various climates in north and south |
| Other | Design Lifespan ≥5 years | Low maintenance cost |

The core breakthrough of NiuBoL insect forecasting instrument lies in the deep integration of “targeted specificity of insect sex pheromones” with “high efficiency of AI intelligence,” achieving “precise trapping, clear recognition, thorough analysis.”
1. Targeted Trapping: Specific Biological Detection
The device uses high-purity artificially synthesized insect sex pheromones as the attractant source. Leveraging the extremely strong tropism of male insects to female pheromones during the reproductive period, it achieves precise trapping of specific target pests (such as rice leaffolder, diamondback moth, fruit borers, etc.). This method is completely unaffected by environmental miscellaneous insects, ensuring the purity and specificity of front-end collected data.
2. AI Image Recognition: From Digitization to Intelligence
Equipped with a 12-megapixel industrial-grade high-definition camera, the device can perform panoramic photography of trapped insect bodies at timed intervals.
Intelligent Classification and Counting: Relying on AI deep learning algorithms, the system can automatically identify insect species and accurately count them, effectively eliminating interference from impurities such as dead leaves and dust.
Automated Insect Clearing Logic: Equipped with an automatic flipping insect clearing mechanism, it automatically clears residual insect bodies after completing photographic recording, ensuring the accuracy of the next monitoring and significantly reducing the frequency of on-site manual maintenance.
3. IoT Cloud Decision-Making
The device integrates 4G/5G wireless communication modules to upload real-time insect situation images and environmental data to the NiuBoL IoT platform. The platform automatically generates insect occurrence trend curves, helping plant protection personnel precisely determine the optimal control period, transforming “blind pesticide use” into “on-demand control.”
As an industrial-grade device deployed long-term in fields and woodlands, NiuBoL has undergone extreme optimization in hardware reliability.
Physical Architecture and Weather Resistance: The overall use of galvanized spray-coated material provides extremely strong UV resistance, rainproof, and dustproof functions. Overall height of 2 meters, with insect-attracting port height adjustable from 1.2-2.0 meters, adapting to different growth stages from low vegetables to tall crops.
Energy Self-Sufficiency System: Equipped with 60W solar panel and 12V 40AH lithium battery pack. Combined with ultra-low power design (standby power ≤6W), it ensures 24/7 stable operation even in remote farmlands without grid coverage.
High-Voltage Killing System: Built-in 4000V±500V high-voltage grid, with a suspended lower-end design to prevent insect body accumulation causing short circuits, ensuring killing efficiency and safety.
With its high flexibility, NiuBoL insect forecasting instrument has been widely applied in multiple professional fields:
1. Field Crops and Food Security
In contiguous planting areas of rice, corn, cotton, etc., the device serves as a “monitoring sentinel,” real-time grasping the migration dynamics of boring pests such as Chilo suppressalis and cotton bollworm. It provides digital support for regional unified prevention and control, effectively preventing pest outbreaks.
2. Economic Orchards and Quality Assurance
For fruit borers and leafrollers in apples, citrus, and tea gardens, the device guides growers to precisely control control nodes. It reduces the number of chemical pesticide applications, helping build green and organic brands and enhancing the added value of agricultural products.
3. Facility Agriculture and Research Institutions
In vegetable bases and greenhouses, it continuously monitors pests such as diamondback moth. At the same time, as a research tool for agricultural colleges and plant protection stations, it provides detailed underlying data for pest occurrence pattern research and efficacy evaluation.
4. Organic Certification and Smart Farm Integration
Fully compliant with organic agriculture certification standards, its physical trapping method produces no chemical residues. Through standard communication protocols, the device can easily access provincial and municipal smart agriculture cloud platforms, becoming a core component of the perception layer in digital farms.

The application value of NiuBoL lies not only in the device itself but also in its promotion of deep changes in plant protection models.
Ecological Protection: The physical trapping mode protects natural enemies of pests and maintains farmland biodiversity.
Cost Reduction and Efficiency Enhancement: Unattended operation reduces manual inspection costs by more than 80%, and precise pesticide use reduces pesticide expenditure by more than 30%.
Digital Transformation: Accumulated long-term data provides valuable assets for research on pest and disease evolution under climate change.

1. How to handle trapped insect bodies?
The device is equipped with an automatic insect clearing mechanism. After capturing insect situation images, the brush plate or flipping device automatically cleans the grid and insect collection box to prevent old insect bodies from interfering with subsequent counting.
2. How is the accuracy of AI recognition guaranteed?
NiuBoL's AI algorithm is trained on a massive image library, achieving over 90% recognition accuracy for specific target pests. The system also supports manual remote online verification to ensure data is foolproof.
3. How long can the device operate in continuous rainy weather?
With a 40AH large-capacity lithium battery and low-power management system, under full charge, even without direct sunlight, the system can maintain 5-7 days of normal monitoring and data upload.
4. Is the killing grid safe?
The device has comprehensive leakage protection, with insulation resistance ≥2.5MΩ. The high-voltage grid only functions when pests enter the trapping area, and a protective net is provided on the periphery to ensure personnel safety.
5. What protocols does data transmission support?
The system supports standard RS485 output and 4G wireless communication. Data can be uploaded to the NiuBoL cloud platform and also supports access to third-party privatized deployment platforms via MQTT or HTTP protocols.
6. Why is the trapping port height designed to be adjustable?
Different pests have different flight heights (e.g., diamondback moth flies close to the ground, while migratory pests are higher). Adjustable height ensures maximum trapping efficiency.
7. What is the service life of the device?
The whole machine is industrial-grade designed with a service life ≥5 years. Galvanized spray-coated material effectively prevents corrosion from chemical sprays in farmlands.

From utilizing the “natural wisdom” of biological instincts to integrating the “technological power” of AI and IoT, NiuBoL insect forecasting instrument is not only a plant protection device but also a technical benchmark for modern green agriculture.
By realizing the transition of pest and disease control from “experience-driven” to “data-driven,” we assist global system integrators and agricultural producers in building more efficient, safer, and more sustainable plant protection lines. Mastering precise insect situations to safeguard a green future.
Working Power: DC 12V (solar 60W + 40AH lithium battery)
Communication Method: 4G / Ethernet / RS485
Recognition Indicators: 12-megapixel industrial camera, AI automatic classification and counting
Killing Parameters: 4000V±500V pulse high voltage
Environmental Tolerance: -20℃ to +70℃, IP65 protection rating
Do you need me to organize a lure core matching scheme for specific crops (such as tea gardens or orchards) for you? Or do you need to obtain the API docking documentation for the NiuBoL intelligent plant protection platform?
Intelligent Remote Insect Monitoring and Reporting System(Insect Monitoring Device) Data Sheet.pdf
Prev:Insect Forecasting Lamp: One of the Core Tools for Precise Monitoring of Agricultural Pest Control
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