Area and paddy crop yield prediction system of an area using ?image processing by Sobel ?Otsu’s method is one of ?system that utilize aerial photo data for measuring ?area and prediction of its crop yield. Otsu’s method is used to thresholding process and ?Sobel’s method is used to detect paddy field’s edges that will calculate its area. T hen filtering process so that the scanning process white pixels are counted only exist in the desired region . After the amount of white pixel(s) is obtained, their amount is multiplied with the scale that obtained from calibration process and crop yield prediction (kg/m2). Detection of yellow paddy color that ready-to-harvest is successfully performed by processing the HSV color, which is then detected by thresholding HSV. At the time of testing with variety of paddy color, the detected paddy color is the paddy color ready-to-harvest, which is brownish yellow that represented by white pixels, and will be used then to predict its area and crop yield. Thereafter, accuracy calculation test resulting in different error levels in different paddy fields. Error in testing of this system are 3,1 %, 8,7%, 4,9% dan 248%. The highest error value is caused by excessive exposure of light, with the result that the green color on paddy is detected by the system as yellow and some areas are covered by trees that, thereby reducing paddy fields area calculation.
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