Hyperspectral imaging has been used for many years in tandem with image processing to collect data about objects and processes over time based on the reflection of different wavelengths of visible light from these objects. However, hyperspectral imaging requires a hyperspectral camera, which can cost upwards of $50,000 and is unavailable to researchers without university, private, or federal funding. This work serves as a case study to explore an alternative, albeit less advanced method, that can be used to investigate similar objects based on images taken from an average civilian color camera, accessible to the majority of individuals, such as a cell phone camera. Such a method would prove both more affordable and time efficient. The presented method employs programming in MATLAB software to differentiate between red, green, and blue image frames and associated values in temporal images to study color changes in processes over time. In this work, the method is tested during the process of decomposition of bananas over ten days, where color change is simple and obvious; images may then be taken over time to measure for color change during decomposition and then to correlate that change to the degree of rotting. The results of this work showed that in the first few days of the experiment, no observable changes were seen in any of the color frames; however after the sixth day, a linear change in red and green frames were observed suggesting the usefulness of this simple and novel technique to investigate ripening and/or decomposition of bananas over time.