Machine Learning, Data Science and AI in Food Industry: Opportunities, Solutions and Potential

Authors

  •   Girish S. Sonawane Assistant Prof. PVP College of Arts Science and Commerce, Pravaranagar
  •   Sushil R. Deokar Assistant Prof. PVP College of Arts Science and Commerce, Pravaranagar
  •   Nitin D. Sali Assistant Prof. PVP College of Arts Science and Commerce, Pravaranagar
  •   Priti S. Dighe

DOI:

https://doi.org/10.17697/ibmrd/2023/v12i2/173223

Keywords:

Artificial Intelligence, Machine Learning, Data Science, Robotics, Restaurants.

Abstract

When talking about the food assiduity, technology is not generally the primary thing that involves the mind. But currently, technology within the food assiduity is a vital part of food product and delivery processes. We discover food through operations, and makers produce it with the backing of robotics and processing. Tech could significantly ameliorate packaging, adding the period of time and food safety.

The standard of food is also perfecting while product costs are lower. Robotics, machines, drones, and 3D printing are data. Artificial Intelligence offers numerous Possibilities to optimize and automate processes, save plutocrat, and reduce mortal error for several diligence's. Artificial Intelligence and Machine Learning can profit hospices, caffs and in food manufacturing.

Downloads

Download data is not yet available.

Downloads

Published

2023-09-01

How to Cite

Sonawane, G. S., Deokar, S. R., Sali, N. D., & Dighe, P. S. (2023). Machine Learning, Data Science and AI in Food Industry: Opportunities, Solutions and Potential. IBMRD’s Journal of Management & Research, 12(2), 58–67. https://doi.org/10.17697/ibmrd/2023/v12i2/173223

References

Sebastin, J. (2018) Artificial Intelligence: A real opportunity in food industry. Food Quality and Safety. [cited 2019 April 23]. Available from https://www.foodqualityandsafety.com.

Wang, P. (2008) What do you mean by “AI� Frontiers in Artificial Intelligence and Application, 171(1): 362-373. DOI: https://doi.org/10.1145/1361075.1361077

Kumar C. Artificial intelligence: Definition, types, examples, technologies. [cited 2019 March 20]. Available from http://www.medium.com.

Singh, H. How AI is reshaping the food processing business. Customer think. [cited 2019 April 25]. Available fromhttps://www.customerthink.com.

Kurilyak, S. Artificial Intelligence (AI) in food industry. [cited 2019 April 25]. Available from http://www.produvia.com.

Goyache F, Bahamonde A, Alonso J, López S, Del Coz JJ, Quevedo JR, Ranilla J, Luaces O, Ãlvarez I, Royo LJ, Diez J. The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry. Trends in Food Science & Technology.2001; 12(10):370-381. DOI: https://doi.org/10.1016/S0924-2244(02)00010-9

Iqbal J, Khan ZH, Khalid A. (2017)Prospects of robotics in food industry. Food Science and Technology. 37(2): 159-165. DOI: https://doi.org/10.1590/1678-457x.14616

Bishop, C. M. (2016)Pattern recognition and machine learning. 1st ed. New York, United States: Springer

Goldberg Y. A primer on neural network models for natural language processing. Journal of Artificial Intelligence Research. 2016;57:345-420. DOI: https://doi.org/10.1613/jair.4992

Milan, S., Vaclav, H., and Roger, B.(2008) Image processing analysis and machine vision. 3rd ed. Florence, KY, United States: Cengage Learning.

Tondu, B. Modelling of the Mc Kibben Artificial muscle: a review. Journal of Intelligent Material Systems and Structures. 2012; 23(3): 225-253. DOI: https://doi.org/10.1177/1045389X11435435

Wettels, N., Santos, V. J., Johansson, R. S., and Loeb, G. E.(2008) Biomimetic tactile sensor array. Advanced Robotics, 22(8), 829-849. DOI: https://doi.org/10.1163/156855308X314533

Thrun, S. (2010) Toward robotic cars. Communications of the Association for Computing Machinery (ACM) 53(4):99-106. DOI: https://doi.org/10.1145/1721654.1721679

Hammer Kopf.(2020) Artificial intelligence in the food industry. [cited 2019 April 25]. Available from http://www.hammerkopf.com.GSC Biologicaland Pharmaceutical Sciences, 13(01),171–178 DOI: https://doi.org/10.30574/gscbps.2020.13.1.0320

Shobhit, S. What are the applications of AIin food industry? [cited 2019 April 25]. Available from https://www.quora.com.

Tan, V. J. Artificial intelligence use cases in Agriculture. [cited 2019 April 25]. Available from https://www.ai.business.com.

Crowbar protein. Artificial intelligence in the food industry-a complete guide. Available from https://crowbarprotein/.

Walker, J. AI in food processing use cases and applications that matter. [cited 2019 April 25]. Retrieved fromhttps://www.emerj.com.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.