Automatic water level monitoring system based on computer vision technology for supporting the irrigation modernization

Abstract

Measurement of water level in the irrigation channel is required to calculate the irrigation discharge so that crops can be irrigated precisely. Large irrigation areas require a real-time and accurate monitoring system that cuts operational costs. In a previous study, ultrasonic technology has already been developed and implemented. However, during the actual operation, visual verification is needed. To address the problem, an automatic water level monitoring system based on visual appearance using computer vision technology is developed. The image-based system works by automatically capturing canal gauge, identifying canal gauge in an image using colour detection method, measuring the length of the pixel of canal gauge, and convert it to an actual water level. As a result of the performance test, five photos were taken in 24 hours. One image was accurately measured by the microcomputer. This is because the intensity of sunlight affects the colour of the canal gauge so that the microcomputer incorrectly or inaccurately identifies the canal gauge length. A pre-calibration is needed to find a specific colour range for specific light intensity. Also a robust, less colour sensitive such as night vision imagery needs to be developed to overcome luminescence problems.