Abstract
“World is hungry,” there may exist many reasons to support this statement but one big reason to hold this statement is wastage of food in different organizations every day. From the statistics of the Global Hunger Index (GHI), approximately 192 million people sleep with hunger at every night. These statistics would increase if proper steps are not considered to stop this. Therefore, it is our responsibility to save our resources for the betterment for tomorrow. This paper presents the supervised machine learning technique for minimizing food wastage. Here, we have provided the two classification algorithms which are naïve Bayes and decision tree to build a best model which can be used for this application.
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Panda, S.K., Dwivedi, M. (2020). Minimizing Food Wastage Using Machine Learning: A Novel Approach. In: Satapathy, S., Bhateja, V., Mohanty, J., Udgata, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 159. Springer, Singapore. https://doi.org/10.1007/978-981-13-9282-5_44
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DOI: https://doi.org/10.1007/978-981-13-9282-5_44
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