International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:3, March, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(3): 102-108

Machine Vision Techniques Used in Agriculture and Food Industry: A Review
Abhishek Ranjan*
Farm Machinery and Power, Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, West Bengal, India – 721302
*Corresponding author

Alternate methods are required to fulfil the demand of the ever-growing population as the natural resources such as land and water available for agriculture are limited. Rapid urbanization has resulted in a huge number of people leaving behind agricultural and thus shortage of workers is encountered during peak seasons. The alternate methods are expected to give higher productivity compared to the traditional cultural practices while retaining the advantages of these traditional practices. A lot of research work has been done on the automation of these cultural operations. Machine vision plays a vital role in the success of a wide range of tasks performed by some of these automated solutions. This paper presents a detailed review on the use of machine vision in agriculture and food industry.

Keywords: Machine vision, Fruit detection, Object classification, Convolutional neural network, Image processing

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How to cite this article:

Abhishek Ranjan. 2020. Machine Vision Techniques Used in Agriculture and Food Industry: A Review.Int.J.Curr.Microbiol.App.Sci. 9(3): 102-108. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.