Food waste, a pervasive global issue, refers to the disposal or wastage of edible food that is still good for utilization. This occurrence not only dissipates precious resources but also has a severe impact on the environment, social, and economic implications. It is estimated that around one-third of the food produced globally for human use is wasted. Such wastage contributes to greenhouse gas emissions, depletes natural resources, and complicates issues of food insecurity and hunger. Various factors contribute to this problem, including consumer requirements, insufficient storage, lack of management, and inefficient supply chains. Understanding the entanglement surrounding food waste is crucial for implementing effective strategies to alleviate its impact on a local as well as an international.

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Utilizing Machine Learning for Enhanced Production Planning in the Food Industry Amid Uncertain Waste Generation Conditions

  • S. V. S. Hari Priyanka Jayathi,
  • M. Rekha Sundari

摘要

Food waste, a pervasive global issue, refers to the disposal or wastage of edible food that is still good for utilization. This occurrence not only dissipates precious resources but also has a severe impact on the environment, social, and economic implications. It is estimated that around one-third of the food produced globally for human use is wasted. Such wastage contributes to greenhouse gas emissions, depletes natural resources, and complicates issues of food insecurity and hunger. Various factors contribute to this problem, including consumer requirements, insufficient storage, lack of management, and inefficient supply chains. Understanding the entanglement surrounding food waste is crucial for implementing effective strategies to alleviate its impact on a local as well as an international.