Agricultural AI That Finds
Answers in Verified Data
FarmPath has built a RAG (Retrieval-Augmented Generation) system on verified consulting data, operating an AI farming assistant and disease diagnosis in live service. Looking ahead to the Smart Farm 3.0 era, we are researching Agentic AI-based automated control.
Answers Built on Evidence,
Not Guesswork
RAG (Retrieval-Augmented Generation) — it first retrieves the verified sources relevant to your question, then generates an answer only on that evidence.
Understand the Question
Interprets your intent along with farm context such as crop, area, and transplant date.
Search the Knowledge Base
Retrieves relevant evidence from verified consulting materials and cultivation manuals using BGE-M3 embeddings.
Answer with Evidence
Presents the retrieved evidence and a confidence level together — and when confidence is low, it says so.
AI Disease Diagnosis
in Live Service
- Automatic image detection — marks lesion locations with bounding boxes and automatically recognizes the crop (tomato)
- Differential diagnosis — a candidate-disease list presented with similarity scores and the supporting symptoms
- Certainty indicator — when confidence is low, it says so, and recommends checking photos and samples
- Reviewed approval — only expert-reviewed data is reflected in the knowledge base
An AI Farming Assistant
That Answers with Evidence
A RAG-based consultation that answers from verified sources, not guesswork. It responds based on your farm's growing environment, and flags when confidence is low.
- Farm context aware — answers grounded in your real farm data, such as crop, area, and transplant date
- Ready-to-use questions — VPD by growth stage, likely pests and diseases, and today's irrigation and environment tips
- Clearly advisory — the final decision always rests with the farmer
Three Principles
of Trustworthy AI
We believe that for AI to earn trust in the field, verifiable evidence must come before impressive-sounding answers. FarmPath's RAG system operates on three principles.
- Evidence first — grounded answers from a RAG engine (BGE-M3 embeddings) built on verified consulting data
- Safety compliance — automatic integration with PLS (Positive List System) safe-use standards
- Human-centered — every proposal is executed only after the farmer's approval; the final decision always rests with a person
Try It for Yourself Now
On the FarmStack AI consulting platform (rag.farmstack.kr), sensor monitoring and AI agricultural consultation are running as a live service. We have also prepared a chatbot demo you can try on the web without signing up.
The Next Step We Are Researching:
Agentic AI Automated Control
Beyond remote control (1.0) and data-driven automation (2.0) lies Smart Farm 3.0, where AI assesses the situation and plans control actions on its own. FarmPath is researching its core technology — Agentic AI-based automated control.
Remote Monitoring & Control
Watching the greenhouse from a smartphone and operating it manually
Data-Driven Automation + RAG AI
Automated integrated environment control plus evidence-based AI farming support — the service FarmPath delivers today
Agentic AI Automated Control
AI agents collaborating under a shared goal and planning control on their own — R&D in progress
A sensing role that collects weather and forecast data and shares it with the other agents
A sensing role that detects plant stress and growth stages and shares insights
An acting role that plans irrigation schedules matched to water demand
An acting role that adjusts fertilization plans to the growth stage
An acting role that detects outbreak risk early and proposes control plans
The principle stays the same even in research — every control plan is designed on the premise that it applies only after the farmer's approval.
The AI Diagnoses — and Shows Its Evidence
From differential disease diagnosis to the reasoning and confidence behind each recommendation, shown on real screens. Click to enlarge.
AI Differential Disease Diagnosis
Leaf object detection + similarity-based disease candidates
AI Farming Assistant
Farm context + suggested questions (pests, irrigation, VPD)
Mobile Comprehensive Analysis
Overall growing-environment score + improvement tips
AI Prescription
Anomaly detection + recommended actions
Prescription Evidence & Confidence
Best practices and papers + AI confidence