Authors: Dr.Sumbul Alam
Abstract: Food waste management is a contemporary global issue. According to UNDP, food waste constitutes 40-51% of the waste in the Kingdom, followed by paper, cardboard, plastics, and other materials. Consequently, an effective waste segregation system is essential to address this problem. This research proposal aims to develop a mechanism for the segregation of decayed fruits and vegetables from the shelves, storage, and inventories of retailers such as Hyper Panda, Carrefour , and Lulu hypermarkets, utilising a hybrid machine learning algorithm comprising Linear SVM and PCA, alongside YOLO for real-time detection. Following segregation, this organic waste may be transported to a biorefinery where, using anaerobic digestion technology, it can be turned into methane gas. Currently, the door-to-door accessibility of processed foods, consumer products, and groceries is in great demand. Consequently, this methane gas may be utilised by their own delivery trucks and vehicles, so minimising food waste reduction in retail, promoting energy sustainability, and decreasing pollution.
DOI: http://doi.org/10.5281/zenodo.21676317
