The Estimating of Nutrient Value in Apples Based on Size Employing the Canny Edge Detection Algorithm
Anis Fitri Nur Masruriyah, Muhammad Haidar Ijlal, Rahmat Rahmat, Hanny Hikmayanti Handayani, Deden Wahiddin, Ahmad Fauzi · 2022 Seventh International Conference on Informatics and Computing (ICIC) · 2022
Apples are relatively easy to find by the public and have good health benefits. When someone wants to adopt a healthy diet, apples become part of the food menu they consume because of their good nutritional content. Some consumers do not really pay attention to the nutritional content consumed; they only focus on the size of the fruit. So, this study proposes to estimate the nutrients in apples using the Canny Edge Detection algorithm. This research begins by taking an image of apples and collecting data using a caliper to determine the height and width of the apples. Furthermore, the image that was ready to be processed uses image preprocessing to be prepared for the next process. Then the canny edge detection algorithm was applied to determine the edges of the apple image so that the volume of apples can be calculated, and the nutritional value was known based on the weight of the apples.