University Student Develops AI-Powered Plant Monitoring System for Farmers
Kennesaw State University student Brendan Miller is developing a low-cost AI monitoring system to prevent crop losses through early detection.
Brendan Miller, a computer science student at Kennesaw State University, is developing a low-cost, AI-powered monitoring system aimed at preventing global crop losses by detecting plant diseases early.
Global Crop Losses and the Goal of the Project
According to data from the United Nations Food and Agriculture Organization, plant pests and diseases destroy 40 percent of global crops every year. This situation threatens employment and the global food supply.
AI Technology Running on Local Devices
Brendan Miller, a student from Roswell, is researching edge AI technology, which allows AI models to process data directly on a local device rather than on a remote server.
Health Status Detection with Sensor Data
The system collects data such as pH levels, water temperature, electrical conductivity, humidity, and light intensity, detects anomalies, and evaluates them with the help of artificial intelligence.
Initial Test Results and Success Rate
Miller tested an AI model that runs entirely on a Raspberry Pi computer and can distinguish healthy lettuce leaves from diseased ones, achieving an accuracy rate of approximately 87 percent.