Agricultural Agent Control System

The Agricultural Agent Control System is an AI assistant built for protected agriculture and greenhouse applications. Adopting an agent architecture, it understands natural language commands, autonomously arranges execution workflows, and handles equipment control, real-time sensor data query and professional agronomy Q&A. For ambiguous or risky commands, the system will pause automatically and wait for user confirmation to guarantee safe and accurate farm operations.

Core Features

✅ Device Control via Natural LanguageNo complicated operation training required. You can send commands in plain language. Examples:

"The temperature in Greenhouse No.3 is too high, turn on the ventilation." "Humidity in Greenhouse No.1 is low, start drip irrigation for 10 minutes."

The system identifies target greenhouse and relevant equipment to carry out orders precisely. It eliminates the need for thick operation manuals and complex control interfaces, cutting labor cost for daily management.

✅ Real-time Environmental Data QueryRemotely access sensor data including temperature, humidity, soil moisture, light intensity and CO₂ level. Check greenhouse status without on-site inspection. Example:

"What is the current temperature in Greenhouse No.3?"

✅ Professional Agronomy Knowledge BaseEquipped with a knowledge library covering crop cultivation, pest & disease control, water and fertilizer management to solve planting problems quickly. Examples:

"How to control tomato powdery mildew?" "What soil conditions are suitable for strawberry growing?"

✅ Safety Interaction MechanismThe agent will stop execution and confirm your intention if the command is unclear or risky, preventing misoperation and economic losses.

Application: Glass greenhouses, plastic film greenhouses, PC sheet greenhouses, seedling factories and other protected agriculture projects. Compatible with water & fertilizer integration systems, ventilation, shading, drip irrigation, environmental sensors and other agricultural hardware.