FieldKB · Knowledge Systems Playground

Search crop-specific passages and visual evidence from the structured agricultural knowledge base

Knowledge Systems Playground · Interactive Retrieval Demo

Explore structured agricultural knowledge in text and image form.

This playground demonstrates how FildraAI retrieves crop-specific written knowledge and supporting visual references as one connected agricultural intelligence system. Search passages, inspect citations, retrieve field images, and see how text and visuals work together to make knowledge more understandable and more usable.

Crop + locale aware retrieval Structured agricultural passages Text + image knowledge retrieval

First phase: Livestock and Crops only

FildraAI's first deployment focuses on two domains only: Crops and Livestock. The knowledge base, guidance, and farm memory are built for these first, so what you get is grounded and practical rather than spread thin. More domains will follow as the knowledge base grows.

01 · Text knowledge

Search structured crop passages

Retrieve ranked passages from crop knowledge using natural language. This shows how FildraAI returns written agricultural guidance that is scoped by crop and locale, rather than relying on vague generic answers.

02 · Visual knowledge

Retrieve supporting image references

Search curated agricultural media by describing visible symptoms, lesion shape, spot colour, pustule texture, or discolouration pattern. The image index matches on visual evidence, not general topic keywords.

03 · One intelligence layer

Text explains. Images clarify.

Agricultural knowledge becomes more useful when written guidance and visual evidence reinforce each other. This playground is designed to help users inspect both retrieval layers together.

Knowledge Systems Playground

Explore how text retrieval, image retrieval, and conversational search fit together. This is a playground for understanding retrieval behavior, not a polished end-user advisory workflow.

Structured agricultural knowledge

See example queries & how retrieval works

Text query examples

EN What are the signs that maize has reached physiological maturity and how should grain be dried after harvest?

EN What seed rate and water depth should I maintain when transplanting rice seedlings?

繁中玉米葉枯病在臺灣的發生條件與推薦防治藥劑為何？

繁中水稻分蘗期的田間管理重點有哪些？

FR Quels sont les signes d'infestation des foreurs de tiges du maïs et comment les gérer ?

FR Quels engrais de fond sont recommandés pour la riziculture en Afrique subsaharienne ?

ES ¿Qué señales muestran que el maíz llegó a madurez fisiológica y cómo debo secar el grano después de la cosecha?

ES ¿Qué dosis de semilla y profundidad de agua debo mantener al trasplantar arroz?

PT Quais sinais mostram que o milho chegou à maturidade fisiológica e como devo secar o grão depois da colheita?

PT Que taxa de semente e profundidade de água devo manter ao transplantar arroz?

SW Dalili za upungufu wa zinki katika mahindi ni zipi na ninaweza kurekebisha vipi?

SW Ni kina gani cha maji kinachofaa kwa mpunga wakati wa hatua ya kuchanua maua?

Image symptom examples

EN Maize leaf with scattered brown oval pustules, early common rust

繁中玉米葉片上分散的褐色橢圓形銹病斑點（普通銹病早期）

FR Feuille de maïs avec pustules ovales brunes dispersées, rouille commune

SW Jani la mahindi lenye madoa madogo ya kahawia ya mviringo, ugonjwa wa kutu

Rice blast diamond-shaped lesions on rice leaf

Retrieved visual reference: Rice blast · diamond-shaped grey lesions · Rice · Taiwan

How symptom-based retrieval works

Each image in the knowledge base is indexed by its dominant symptoms, pustule colour, lesion shape, spot texture, and discolouration pattern. Your description is matched against these visual tags, not general topic keywords. The more precisely you describe what you see, the better the match.

Interactive Retrieval Explorer

Images: Off

Welcome to the Knowledge Systems Playground

Use this interactive area to explore how FildraAI retrieves structured agricultural knowledge. Ask crop questions to retrieve written passages, or enable image search to retrieve visual references from the curated media layer.

Maize , text and image retrieval supported

Rice , text and image retrieval supported

Select a crop, then enable image search and describe visible symptoms, lesion shape, spot colour, or pustule texture, to retrieve matching visual references.

Crop

Image search

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