International Journal of Advanced Research in Computer and Communication Engineering

Abstract: This paper proposes the design of the system, to detect the ripeness of a fruit using temperature readings and image processing techniques. The temperature module MLX90614 measures the temperature of the fruit and the image processing technique analyses an image of the fruit to determine its color. By combining these two readings, the program can determine whether the fruit is ripe or not. The program collects temperature readings from a Nodemcu device and then analyses an image of the fruit using OpenCV library to get the average color of the fruit. Then, it converts the average color from BGR to RGB and passes it through a function that converts the RGB color to a single value. This single value is then used along with the temperature readings to determine if the fruit is ripe or not. In summary, the project provides a way to automatically detect the ripeness of a fruit by analyzing its temperature and color using image processing techniques. This could potentially be useful for fruit processing and harvesting industries.

Keywords: Image Processing, digital image processing, image detection, VGG16 model, fruits dataset, image classification.

Downloads: | DOI: 10.17148/IJARCCE.2025.141256