Expiry Prediction and Reducing Food Wastage using IoT and ML

Abstract

This paper details development of a low-cost, small-size, and portable electronic nose (E-nose) for the prediction of the expiry date of food products. The Sensor array is composed of commercially available metal oxide semiconductors sensors like MQ2 sensor, temperature sensor, and humidity sensor, which were interfaced with the help of ESP8266 and Arduino Uno for data acquisition, storage, and analysis of the dataset consisting of the odor from the fruit at different ripening stages. The developed system is used to analyze gas sensor values from various fruits like bananas and tomatoes. Responding signals of the e-nose were extracted and analyzed. Based on the obtained data we applied a few machine learning algorithms to predict if a banana is stale or not. Logistic regression, Decision Tree Classifier, Support Vector Classifier (SVC) & K-Nearest Neighbours (KNN) classifiers were the binary classification algorithms used to determine whether the fruit became stale or not. We achieved an accuracy of 97.05%. These results prove that e-nose has the potential of assessing fruits and vegetable freshness and predict their expiry date, thus reducing food wastage.

A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies

“…Zhu et al [26] Garlic scape Transportation China Afreen and Bajwa [27] Fruit and vegetables Storage Pakistan Torres-Sanchez et al [28] Lettuces Transportation and storage Spain Siddiqui et al [29] Rice Manufacturing Bangladesh Aytaç and Korçak [30] Fast-food Retail Turkey Zheng et al [31] Water Manufacturing China Li [32] Fruit and vegetables Transportation China Nair et al [33] Banana Storage India Sharif et al [34] Perishable products * Storage UK Ibba et al [35] Apple and bananas Storage and transportation Italy Catania et al [36] Aromatic herbs Manufacturing Italy Lu et al [37] Perishable products * Transportation Taiwan Wang et al [38] Blueberries, sweet cherries, apples [40] Sweet cherry Transportation China Torres-Sánchez et al [41] Lettuces Transportation and storage Spain Urbano et al [42] Pumpkin and oranges Transportation and retail Spain and Ireland Feng et al [43] Salmon Storage China Markovic et al [44] Meat Transportation UK Ramírez-Faz et al [45] Dairy products, charcuterie, meat, and frozen products Storage and retail Spain Seman et al [46] Perishable products * Storage Malaysia Alfian et al [47] Kimchi Storage South Korea Banga et al [48] Chickpea Storage India Feng et al [49] Shellfish Transportation and storage China Jara et al [50] Perishable products * Transportation Ecuador Baire et al [51] Bread Manufacturing Italy Jilani et al [52] Meat Storage Pakistan Mondal et al [53] Perishable products * Manufacturing, transportation, storage and retail USA Lazaro et al [54] Apple and banana Retail Spain Tsang et al [55] Meat and fruit Storage China Popa et al [56] Onion Storage Romania Tsang et al [57] Meat and seafood Storage China Tsang et al [58] Apple, Grapefruit, Mango, Melons, Tomatoes Transportation Hong Kong Wen et al…”

Expiry Classification and Improved Efficient Delivery Mechanism of Packaged Food Product Using XGBoost Algorithm and Haversine Formula

“…The food processing industry is one where supply chain management is especially critical to ensure high quality, low costs, and limited raw material resources. Raw materials have to be of high quality and be used in safe conditions for the food industry to carry off a high caliber finished edibles [1,3].…”