At Pezego, a robust and meticulously structured domain knowledge base forms the bedrock of our sophisticated Large Language Model (LLM) for Integrated Pest Management (IPM). This critical asset is engineered to empower UK agricultural professionals with precise, data-driven, and environmentally responsible pest management strategies. Our commitment is to translate comprehensive agricultural intelligence into actionable insights, facilitating sustainable practices and enhanced crop protection.

The Architecture of Agricultural Intelligence

Pezego’s domain knowledge base is a systematically organised repository, consolidating extensive expert knowledge pertinent to UK agriculture. It is not merely a collection of data, but a structured digital ecosystem designed for optimal machine interpretation and utilisation by our LLM. Key components include:

• Core Pest Encyclopaedia: Drawing significantly from authoritative sources such as the Agriculture and Horticulture Development Board (AHDB) encyclopaedia, this module provides in-depth information. It encompasses detailed pest biology, life cycles, affected crops, diverse management options (cultural, biological, chemical), critical data on insecticide resistance patterns, and economic thresholds for intervention.
• Specialised Crop Modules: Recognising the unique challenges of specific crops, we maintain dedicated modules, such as for potatoes, offering nuanced pest management intelligence tailored to their particular agronomic contexts.
• Research-Driven Insights: The knowledge base incorporates and structures pivotal findings from UK agricultural research, including reviews like RR86 (focusing on biological control agents and their application) and RR98 (detailing crop growth stage-specific pest management actions).

The entirety of this intelligence is predominantly encoded in JSON (JavaScript Object Notation). This format is chosen for its lightweight nature, human-readability, and, most importantly, its exceptional machine-readability, ensuring seamless and efficient integration with our LLM. This allows for the complex relationships within agricultural systems to be digitally represented and processed.

Enabling AI-Driven IPM Solutions

This curated knowledge base serves as the definitive intelligence layer for Pezego’s LLM. It transforms our AI from a general-purpose language tool into a specialised agricultural advisor. The structured data enables the LLM to:

• Perform Sophisticated Analyses: By accessing detailed pest profiles, crop vulnerabilities, and management efficacy data, the LLM can conduct nuanced assessments of pest-related risks.
• Generate Context-Specific Recommendations: The LLM can formulate advice that is highly tailored, considering the specific pest identified, the crop affected, its current growth stage, prevailing local environmental conditions, economic viability, and the principles of sustainable agriculture.
• Support Proactive Decision-Making: Users receive timely and actionable intelligence, allowing for preventative measures and optimised intervention strategies, moving beyond reactive treatments.

Driving Research and Sustainable Practices

The Pezego knowledge base is a dynamic contributor to the advancement of IPM strategies and sustainable agriculture. By providing a rich, structured foundation, it supports:

• The Development of Intelligent IPM Programmes: Our LLM leverages this knowledge to recommend integrated approaches that prioritise non-chemical methods where appropriate, thereby reducing reliance on broad-spectrum pesticides.
• Promotion of Environmental Stewardship: The system champions the use of biological controls, cultural practices, and targeted interventions that minimise ecological disruption.
• Continuous Improvement: The knowledge base underpins ongoing research and development efforts at Pezego, ensuring our IPM solutions evolve in line with the latest scientific understanding and field-based intelligence.

Commitment to Transparency and Continuous Enhancement

Pezego is committed to transparency in its AI solutions. The well-defined structure of our knowledge base, illustrated by accessible data schemas, provides insight into the foundational data informing our LLM’s outputs. This is not a static archive; it is a living resource. We are dedicated to its continuous enrichment with the latest peer-reviewed research, emerging pest threats, updated resistance information, and evolving best practices in UK agriculture. This ensures that Pezego’s LLM-powered IPM decision-making tools remain at the cutting edge, offering robust, reliable, and forward-looking support to the agricultural sector.

Data Sample Access

For those interested in exploring the structure and content of this knowledge base, we provide a sample dataset for download:

👉 Download Sample Dataset (ZIP)