Identification of Nutrients and Microbial Contamination in Fruits and Vegetables - Technology Using Internet of Behavior

In agricultural science, quality analysis of fruits and vegetables has been used to categorize color, shape, size and texture. The proposed technique will enable development of a smart phone app that uses intelligent image processing algorithms to scan the attributes of fruit exhibited in a supermarket and assess its nutritional values, like total carbohydrates, including sugars like glucose, fructose, and sucrose; potassium; magnesium; vitamins like vitamin A and vitamin C; and antioxidants, along with microbial contamination. This instant information received by customers, once they capture images of the fruit using a smart phone, will kindle their interest in purchasing fruits based on their needs. Another added feature of this smart phone app is that it will enable customers to identify microbial contamination in fruits and vegetables. Today, mobile phones have become part and parcel of our lifestyle, so that nearly everyone possesses one such device. This smart phone app, once developed, will be freely available through the Google Play store. Customers, who are the end users, need to have information about fruits and vegetables that will motivate them to purchase them. This simple, user-friendly technology will facilitate measurements related to nutritional value, which includes parameters like sugar content, carbohydrates, potassium, and vitamins, by embedding an intelligent image-processing algorithm that will process photos of various fruit captured by a camera in a smart phone. This advanced technology using a smart phone app extracts the color, shape, average intensity and sum of absolute difference for various fruits like mango, banana, orange, papaya, and tomato to classify them into three categories: high quality, medium quality, and low quality. This novel technology will put an end to the challenge involved in sorting the fruits and vegetables that can be cultivated using artificial fertilizers, which are harmful for consumption. Excessive usage of fertilizers not only decreases nutritional content but also reduces the taste and flavor of fruit. In agricultural science, quality analysis of fruits and vegetables has been used to categorize color, shape, size and texture. In this chapter, fruits such as mangoes, bananas, and papayas are used as input samples to train artificial intelligence algorithms. The origin of this research work lies in developing algorithms for image processing and hybrid artificial neural networks (ANN). Dithering is p