Knowledge Architecture

Modular agriculture knowledge architecture for educational content and calculators

The design separates stable structure from changing guidance, allowing AgriCalc Pakistan to expand its content and tools over time without embedding fragile recommendations directly into the system.

Core knowledge domains

The architecture organizes information into major domains that can be expanded independently.

Crops

Reusable crop profiles for major and emerging crops.

Soil

Soil types, characteristics, management practices, and reference content.

Fertilizers

Structured entries for fertilizer categories and high-level use notes.

Plant Nutrition

Nutrition concepts and crop-specific plant needs.

Irrigation & Water

Methods, conservation concepts, and water-related calculations.

Plant Protection

Pests, diseases, weeds, and prevention guidance.

Farm Systems

Machinery, livestock, poultry, dairy, beekeeping, fisheries, and solar agriculture.

Policy & Economics

Government programs, economics, calculators, and public resources.

Reusable data models

Each content type follows a stable structure that can be updated over time.

Crop data model

Crop name
Scientific name
Local names
Crop category
Growing season
Suitable climate
Suitable soil
Growth stages
Common farming operations
Related calculators
Related articles
Common questions
References

Soil knowledge model

Soil type
General characteristics
Drainage, texture, organic matter
Management practices
Related articles and calculators

Fertilizer knowledge model

Fertilizer name
Common nutrients
General purpose
Typical use cases
Storage considerations
Safety notes
Related articles and calculators

Plant protection model

Pest, disease, or weed name
Affected crops
Visible symptoms
Prevention practices
When to seek expert advice
Related articles

Irrigation knowledge model

Irrigation method
Advantages and limitations
Water conservation concepts
Related calculators and articles

Additional domain models

The same flexible pattern supports livestock, machinery, glossary, and FAQ content.

Livestock model

Cattle, buffalo, goats, sheep, poultry, fish farming, and beekeeping profiles
Guides, FAQs, glossary links, and future calculators

Machinery model

Tractors, seed drills, harvesters, sprayers, solar pumps, and other equipment
Overview, applications, safety considerations, maintenance resources

Glossary model

Term, definition, simple explanation, category, related articles, related calculators, related terms

FAQ model

Question, short answer, expanded answer, related guide, related calculator

Calculator model

Calculator name, purpose, inputs, units, validation rules, outputs, related articles, related FAQs

Content relationships and versioning

Knowledge items should be linked in a way that makes the system scalable and maintainable.

Each knowledge item should connect to related categories, articles, calculators, FAQs, and glossary entries.
Every record should include created date, updated date, version, and language-independent identifiers.
The structure should support multilingual expansion without changing the underlying model.
Time-sensitive agricultural guidance should be stored as updateable content rather than hardcoded assumptions.

Design principles

The architecture is intentionally modular so that content can evolve without breaking navigation or editorial patterns.

Separate structural data from changing recommendations.
Keep content entries reusable across multiple pages and calculators.
Support future expansion into new crops, tools, languages, and authors.
Preserve clear connections between educational content, calculators, FAQs, and glossary resources.