Agrorobotica
This startup develops precision agriculture systems that utilize field-installed pest traps equipped with imaging technology to photograph, identify, and quantify parasitic insects. By providing real-time data transmission to smartphones and websites, farmers can effectively monitor crop health and manage pest control strategies.
- Agriculture Technology
- Artificial Intelligence
- Data & Analytics
- Hardware
- Internet of Things
Funding
Raised to date
$360KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Farmers face significant challenges in monitoring and managing parasitic insects, often relying on manual inspection methods that are labor-intensive and provide delayed insights. Traditional pest control strategies may lack the precision needed to minimize pesticide use and prevent crop damage, leading to inefficiencies and environmental concerns.
Solution
Agrorobotica offers precision agriculture systems leveraging field-installed robotic traps equipped with imaging technology to automate the process of insect monitoring. These traps photograph, identify, and quantify parasitic insects in real-time, transmitting data to a cloud platform accessible via smartphones and web interfaces. By combining pheromone and visual attractants, the system lures insects onto adhesive cards, which are then photographed at regular intervals. The captured images are processed using proprietary algorithms to identify and classify the insects, providing farmers with timely information on pest presence and population dynamics. This enables informed decision-making regarding pest control, optimizing intervention strategies, and reducing the need for broad-spectrum pesticide applications.
Target Audience
The primary target audience includes farmers, agricultural consultants, and crop protection specialists seeking advanced tools for real-time pest monitoring and precision agriculture.
Features
- Robotic pest traps utilizing a combination of pheromonal and visual (chromotropic) lures to attract insects
- Integrated imaging system to automatically photograph captured insects on adhesive cards
- Cloud-based platform employing AI-powered algorithms for insect identification and quantification
- Real-time data transmission to smartphones and web dashboards for remote monitoring
- Weather data integration for predictive modeling of pest behavior and infestation risk
- Durable and weather-resistant trap design suitable for various crops and environmental conditions
- Remote management software to reduce manual intervention, with user intervention limited to replacing adhesive cards and pheromones