Robotic Disease Detection in Greenhouses Combined Detection of Powdery Mildew and Tomato Spotted Wilt Virus

Robotic Disease Detection in Greenhouses: Combined Detection of Powdery Mildew and Tomato Spotted Wilt Virus Abstract Robotic systems for disease detection in greenhouses are expected to improve disease control, increase yield, and reduce pesticide application. We present a robotic detection system for combineddetection of two major threats of greenhouse bell peppers: Powdery mildew (PM) and Tomato spottedwilt virus (TSWV). The system is based on a manipulator, which facilitates reaching multiple detectionposes. Several detection algorithms are developed based on principal component […]


Automatic Crack Detection and Measurement Based on Image Analysis

Automatic Crack Detection and Measurement Based on Image Analysis Abstract Crack detection and measurement in civil structures has been a constant field of research. Conventionally, a technician is responsible to detect and measure cracks in the field. In this paper, a system based on machine vision concepts has been developed with the goal to automate the crackmeasurement process. Using this method with only a single […]