Deciphering the blackbox of omics approaches and artificial intelligence in food waste transformation and mitigation

It is necessary to stop the wastage of food during any stage of food chain to resolve the challenge of starvation, hunger and malnutrition in the world. Inception of modern techniques like omics (metagenomics, proteomics, transcriptomics, wasteomics, diseaseomics etc), enzymatic treatments, and artificial intelligence in food waste reduction and management can bring a sustainable solution for food loss management, starvation and environmental challenges. Acceptance of modern techniques while policies formulation by government bodies can substantially strengthen the idea of waste reduction, food security and can easily save the life of around 25,000 children and adults dying of starvation every day. Artificial Intelligence (AI) can bestead current agriculture and food supply chain system to overcome the challenges of nutrition demand, resource depletion, climate change, population growth, and pollution. This communication provides a thorough examination of the concept of food waste management with omics approaches linkages. In addition, the notion of artificial intelligence in food waste transformation and mitigation, as well as present challenges and future prospects have been covered. Overall, this communication would assist decision-makers in identifying economically and environmentally appropriate biorefinery solutions ahead of time. © 2022 Elsevier B.V.