Working algorithm of IoT-based food waste management.
Step 1: Data collection is the first step of proposed system that is used to collect the data from connected sensors.
Step 2: After data collection, the next step is data processing to organize the attribute values into a spreadsheet file for making the structured dataset.
Step 3: After data processing, the next step is data cleansing in which the data normalize each attribute value by handling the duplicate, incomplete, and faulty values.
Step 4: In this step, we apply some validation methods for data analysis by using decision tree. Information gain and gain ratio are used for decision tree classifier.
Step 5: In the second last step, data prediction is performed by detecting the food item either meat or any other food item (rice, rice and meat, or bread).
Step 6: In the last step, predicted results are displayed and visualized.
