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Ready to elevate your pest control with cutting-edge AI?
Our Adaptive AI Pest Management solution combines advanced artificial intelligence with real-time data to enable sustainable, responsive pest control. Designed to adapt to diverse farming environments — from soil quality to climate conditions — this solution delivers precision pest management directly to farmers.
- Higher Yield, Lower Impact
- Reduced Costs
- Sustainable Farming
Real-Time Pest Detection
Using AI-powered pest recognition, farmers can quickly identify and quantify pests, enabling timely responses that minimise crop loss.
Intelligent IPM
Combining regional pest resistance and local environmental data, the system sets precise pest control thresholds to support sustainable practices.
Climate-Responsive AI
The model adjusts to diverse climate conditions, ensuring pest management recommendations are accurate and effective across varying environments.
Mobile-Friendly
As a mobile-based solution, farmers can access real-time insights and management recommendations directly from their fields.
Our AI-driven models adjust pest management recommendations to real-time environmental data, including climate and soil conditions. This enables farmers to apply targeted, sustainable pest control tailored to their specific field conditions.
By integrating large language models (LLMs), the system provides intelligent, context-specific recommendations for pest management based on regional resistance data and real-time conditions. This approach delivers more accurate, tailored advice, reducing chemical use while enhancing crop health.
Advanced Detection and Decision Models
Our AI-driven detection model uses advanced image recognition to enable rapid identification and accurate quantification of pests directly in the field. The decision model integrates extensive environmental data, including regional pest resistance, climate patterns and soil conditions, to provide tailored pest management recommendations that minimise chemical use and maximise crop health.
Collaborative Expertise
Our success is built on collaboration with leading research institutions and industry experts:
University of Sheffield: Brings expertise in AI algorithm development and optimisation, supporting the enhancement of our pest detection model to ensure high accuracy across diverse environments.
ADAS: Contributes agronomic knowledge and regional pest resistance data, allowing the decision model to be fine-tuned with real-world insights, ensuring practical and sustainable pest control solutions.
University of Liverpool: Specialises in insecticide resistance monitoring, providing essential data that enhances the accuracy of our decision model’s pesticide recommendations.

Pezego: Intelligent, Climate-Smart Pest Control
Pezego is our AI-powered solution designed to support smarter, more sustainable pest management. By combining advanced image recognition, real-time data and adaptive decision models, Pezego helps farmers respond quickly to pest challenges while reducing chemical use and protecting the environment.
Intelligent IPM
Our platform integrates regional pest resistance data with local environmental conditions, setting accurate thresholds for pest control. This supports sustainable Integrated Pest Management (IPM) strategies that balance productivity and ecological health.
Real-Time Pest Detection
Pezego uses AI-driven image recognition to rapidly identify and quantify pests in the field. This enables timely, informed interventions that minimise crop losses and safeguard yields.
Climate-Responsive AI
Pezego’s models are designed to adjust dynamically to different climates, ensuring pest management recommendations remain effective across diverse environments.