RYNAN Insect
Monitoring System

Using AI-driven data analytics for agriculture to manage unnecessary use of chemical inputs, identify and predict pests and insects using visualized statistics.

Remotely Detect Agriculture Pest

  • Sustainable Technology

    Sustainable Technology

    Spot spraying of pesticides, optimizing usage quantity and pest targeting

  • Real-time Monitoring

    Real-time Monitoring

    Automatically monitor and identify various agricultural pests with zero human intervention

  • Data-driven Intelligence

    Data-driven Intelligence

    Advanced smart tools with AI help farmers counter pests issues based on data

Key Features

  • Equipped with RGB and UV LED’s lamps to lure and trap insects for automatic monitoring and identifying of insect types.

  • Using a camera to capture images, the machine learning algorithm enables the system to recognize over more than 100 different types of pests and insects. Due to the large amount of data collected over time, the accuracy of the machine learning algorithms has increased to over 95% most recently.

  • Real-time insect data is sent to the RYNAN server and can be viewed on the SaaS platform and mobile app without any delay, allowing users to continuously monitor pest and insect growth.

  • With the collected data on pests and natural enemies, the system can provide early warnings to the farmer and advise the correct pesticide usage to the farmer. The AI can also make reliable predictions and mapping of pests and diseases within large areas.

  • Data is transmitted via a 4G/5G connection. Relevant stakeholders can access the system easily via SaaS or the Mekong mobile app to see the data of pests and insects and control the operation of each individual system or a large network of systems in real time remotely.

Trusted by farmers all across the Asia Pacific (APAC) region

Presently, the RYNAN Insect Monitoring System is deployed in more than a hundred locations across Vietnam, Japan & Thailand.

RYNAN Agriculture - Insect Monitoring System in the field

Frequently Asked Questions (FAQs)

  • The IMS allows you to optimize pesticide usage and predict pest infestations, leading to cost savings and improved inventory management of pesticides.

  • The IMS can accurately identify the type of insects and their respective locations within a given environment. Combining these 2 data points, we are able to identify and assess the extent of a pest infestation.

  • Our IMS uses LED Lights and Pheromones to attract different species of pests.

  • The IMS uses real-time object detection and density calculation based on the insect's surface area to determine the insect density.

  • The IMS captures images at hourly intervals, allowing it to effectively monitor insect density, especailly during periods of heightened infestation, e.g., night-time.

  • The IMS digitize farm data and synchronize it to the cloud for analysis and statistics. Data is visualized on our user-friendly SaaS and mobile apps.

  • The IMS allows you to optimize pesticide usage and predict pest infestations, leading to cost savings and improved inventory management of pesticides. Additionally, the IMS digitize farm data and synchronize it to the cloud for analysis and statistics whereby farmers have easy access to visualized data via the MEKONG App.

MEKONG App

MEKONG App is an open-source agriculture platform that provides real-time environmental collected data from RYNAN Technologies IoT devices installed across Vietnam and other locations.

Available for Download:

Interested to find out more about RYNAN's agricultural solutions?

Fill in the contact form and our sales team will be in touch shortly.