A Proposed Architecture: Detecting Freshness of Vegetables using Internet of Things (IoT) & Deep Learning Prediction Algorithm

Fruits contain a variety of nutrients such as proteins, vitamins, and minerals, making them an important part of one's daily diet. Fruits, on the other hand, do not always keep these nutrients, as they lose them with time. As long as the nutrients are retained, we refer to them as fresh fruits. Fruits are packed and moved from one location to another in order to meet market demand. The transporting process might take a long time, and fruits are frequently spilled or thrown away. As a result, it's necessary to check the freshness of fruits after they've been transported. In this research paper we discussed the level of freshness of fruits on basis of factors which it could be classified and examined such as ripeness, leak, humidity etc. Later we proposed a model discussing the Freshness of fruits in various units from A to F such as input from signals of sensors, IOT Sensing electrodes, signals, output unit in form of voltage, temperature, colour etc, database units and informing unit. A deep learning based prediction algorithm is being used computed in opencv and Kaggle database is used. Later the accuracy of the detection came out to be 97.5 %.