GaiaBot

An LLM assistant that helps stakeholders access environmental data and turn it into practical guidance.

GaiaBot image 1
GaiaBot image 2
GaiaBot image 3
Conversational interface linking EO-derived soil indicators with field context to recommend fertilization strategies.
AI assistant explaining soil carbon and clay content using map-based EO data to support irrigation and soil management decisions.
Oral presentation showcasing an AI-driven interface for simplifying access to EO-derived soil data at the IEEE IGARSS conference in Brisbane, Australia.
LLMsRAGEarth ObservationDecision SupportPython
AI & LLM · Agriculture
2024–Present
University of Florida · Soil AI Lab

GaiaBot

GaiaBot is a conversational assistant that connects Earth observation products, field information, and trusted research sources to deliver actionable recommendations for agriculture and environmental monitoring.

GaiaBot is a conversational assistant that connects Earth observation products, field information, and trusted research sources to deliver actionable recommendations for agriculture and environmental monitoring.

Question understanding, tool-based data retrieval (EO + climate + field layers), and retrieval-augmented generation to ground responses in relevant technical references and datasets.

Irrigation and nutrient management support, soil monitoring summaries, and ‘what changed’ explanations through time-series and map-based context.

Key Features

  • Simplifies access to EO and environmental datasets
  • Turns complex indicators into practical recommendations
  • Designed for transparency and traceable sources
  • Built to integrate with dashboards and field workflows