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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
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
DOI: https://doi.org/10.20546/ijcmas.2020.903.013


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
Abstract:

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: https://doi.org/10.20546/ijcmas.2020.903.013