Data Analysis and Machine Learning Observation on Production Losses in the Food Processing Industry
- Title
- Data Analysis and Machine Learning Observation on Production Losses in the Food Processing Industry
- Creator
- Kumar K.P.; Murthy H.; Pillai V.J.; Prathap B.R.; Moses M.; Urs Y.
- Description
- Food wastage and capturing lineage from production to consumption is a bigger concern. Yielding, storage and transportation areas have evolved to a great extent associated to manufacturing and automation which lead to technical advancements in food processing industry. In such situation, losses are generally observed in the crop production which are sometimes minimal and ignored. However, in some cases these losses are huge and are becoming a threat to the both producers and consumers. Here we considered data related to dairy products and analysed the production losses especially while processing them in the treating unit. Literature on parameters and associated data analysis in the form of graphical representation are provided in the appropriate sections of the paper. Linear regression and correlation were envisaged in view of incorporating machine learning techniques understanding production losses. Karl Pearson's correlation provides an observation related to association of parameters which are desired to be less coupled in terms of employing proposed newer methodology. 2023 IEEE.
- Source
- Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Dairy Products; Data Analysis; Machine Learning; Production Loss; Total Productive Maintenance
- Coverage
- Kumar K.P., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Bengaluru, Karnataka, India; Murthy H., CHRIST Deemed to Be University, Department of Electronics and Communication Engineering, Bengaluru, Karnataka, India; Pillai V.J., CHRIST Deemed to Be University, Department of Electronics and Communication Engineering, Bengaluru, Karnataka, India; Prathap B.R., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Bengaluru, Karnataka, India; Moses M., CHRIST Deemed to Be University, Department of Computer Science and Engineering, Bengaluru, Karnataka, India; Urs Y., CHRIST Deemed to Be University, Department of Civil Engineering, Bengaluru, Karnataka, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835033577-4
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kumar K.P.; Murthy H.; Pillai V.J.; Prathap B.R.; Moses M.; Urs Y., “Data Analysis and Machine Learning Observation on Production Losses in the Food Processing Industry,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 26, 2025, https://archives.christuniversity.in/items/show/19836.