A precision pest management tool for today’s farmer
What we do?
Introducing our innovative pest surveillance and control model designed to tackle a wide range of insect pests. Our model utilizes the power of pheromones to attract and capture pests, coupled with advanced camera technology and artificial intelligence. We are proud to announce that our model has undergone successful testing on two major pests: Fruit flies and Fall armyworms. Through extensive field trials and analysis, we have achieved promising results in effectively monitoring and managing these destructive pests. Furthermore, we are currently in the process of testing our model on the Pink Bollworm, another significant agricultural pest. Stay tuned as we continue to expand our capabilities and provide comprehensive solutions for pest control in various crop ecosystems.
Fruit fly Monitoring
Fruit flies can cause significant damage to crops, particularly fruits and vegetables. Here’s how Smartrap addressing the fruit fly issue.
Early Detection: By deploying your insect pest surveillance device, which includes the physical trap, camera, AI module, and IoT module, you can effectively monitor fruit fly populations in real-time. The device attracts and captures fruit flies, and the camera captures images of the captured insects.
Species Identification: The AI module of your device analyzes the images and identifies the species of the captured fruit flies. This information is valuable for understanding the specific types of fruit flies present and their potential impact on crops.
Population Density Analysis: The AI module also detects the population density of fruit flies based on the captured images. This data helps in assessing the severity of infestations and understanding the level of threat to crops.
Timely Intervention: With real-time data and analysis provided by your device, farmers and pest control professionals can take timely action to manage fruit fly infestations. They can implement appropriate control measures, such as targeted trapping, insecticide application, or sanitation practices, to minimize crop damage.
Proactive Management: The data collected by your device, including insect population trends with respect to temperature, humidity, and time of the day, can be used to develop proactive pest management strategies. This allows farmers to optimize their control measures and minimize the risk of crop damage.
Fall Armyworm Monitoring
The fall armyworm (FAW), scientifically known as Spodoptera frugiperda, is a destructive pest that primarily attacks maize (corn) crops but can also infest other cereal crops, vegetables, and grasses.
Early Detection: Deploying your insect pest surveillance device, which includes the physical trap, camera, AI module, and IoT module, allows for early detection of fall armyworm infestations. The device attracts and captures fall armyworm moths and larvae, while the camera captures images for analysis.
Species Identification: The AI module of your device can analyze the images and accurately identify fall armyworm larvae. This identification is crucial for distinguishing them from other pests and implementing targeted control measures.
Population Density Analysis: The AI module also detects the population density of fall armyworms based on the captured images. This information helps in assessing the severity of infestations and determining the appropriate level of intervention required.
Timely Intervention: Real-time data and analysis provided by your device enable farmers and pest control professionals to take prompt action against fall armyworm infestations. They can implement suitable control measures, such as insecticide application, cultural practices, or biological control methods, at the right time to minimize crop damage.
Integrated Pest Management: The data collected by your device, combined with additional environmental parameters like temperature and humidity, can be used to develop integrated pest management (IPM) strategies. This involves combining multiple control methods, such as the use of biopesticides, crop rotation, pheromone traps, or beneficial insects, to manage fall armyworm populations effectively.
Pink bollwrom Monitoring
The detection of the Pink Bollworm (Pectinophora gossypiella) is an important aspect of our project’s objectives. The Pink Bollworm is a devastating pest that affects cotton crops, leading to significant yield losses and economic impact. By incorporating the detection of the Pink Bollworm into our insect pest surveillance device, we aim to provide a comprehensive solution for cotton farmers.
The Pink Bollworm detection module within our device employs a combination of attractants, visual cues, and trapping mechanisms specifically designed to target pest. By utilizing pheromones and other cues that attract the Pink Bollworm, we can effectively capture and monitor their population.
Through the attached high-resolution camera, real-time images of captured insects, including the Pink Bollworm, are obtained. These visuals are then processed and analyzed by our AI module, which employs a pre-trained algorithm capable of identifying and classifying the Pink Bollworm accurately.