Swarm Intelligence-based Crop Relocation System and Method for Natural Disaster Preparedness

Crop Relocation System Using Atmospheric/Soil Sensing and Swarm Intelligence

This technology is a system that uses rail-based Automated Guided Vehicles (AGVs) to transport potted plants between indoor and outdoor environments. It establishes optimal relocation plans by integrating data from soil condition sensors and outdoor atmospheric sensors, while analyzing crop-specific growth databases and weather forecast data. It also features swarm control and management technology that executes emergency relocation when inspections are required.

Crop damage caused by climate change and natural disasters, fixed energy waste in smart farm operations, and the difficulty of providing individualized care optimized for the growth characteristics and conditions of each crop.

This technology utilizes a control structure where a central server establishes relocation plans by referencing a crop-type response database based on data from outdoor atmospheric sensors and individual pot soil sensors. An edge server then controls the indoor/outdoor movement of the AGVs, and in the event of an anomaly, performs emergency relocation regardless of outdoor environmental conditions.

‍

‍

Key Features:

• A potted plant cultivation device that transports multiple pots on rail-based AGVs and senses the temperature, humidity, and electrical conductivity of the soil within the pots.
• An edge server installed outdoors where the potted plant cultivation device is located, which senses atmospheric conditions and controls the movement of the cultivation device.
• A central server that establishes relocation plans for the potted plant cultivation device based on the sensing results of outdoor atmospheric conditions and soil conditions.
• A central server that analyzes and predicts atmospheric conditions by applying a first weight to outdoor atmospheric sensing results and a second weight to weather forecast data.

‍