Role of Image Processing and Machine Learning Techniques in Disease Recognition, Diagnosis and Yield Prediction of Crops: A Review

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Published: Apr 20, 2018
DOI: https://doi.org/10.26483/ijarcs.v9i2.5793
Keywords:
Image processing, Machine Learning, smart- phones, classification, Multi spectral image sensor, remote sensing.

Main Article Content

Mayuri K P
SIR M VISVESVARAYA INSTITUTE OF TECHNOLOGY

Abstract

Agriculture planning plays a significant growth and
food security of agro-based country like India. In this Review we
present a comprehensive and critical survey on current
challenges and methodologies applied for various image
processing and Machine learning approaches on variety of crops
in their productivity increase, considering the following
measures: Early detection/recognition of crop diseases,
diagnosing methods and crop selection method in yield
prediction. This paper presents an overview of existing reported
techniques useful in detection of diseases in variety of crops.
Finally we identify the challenges and some opportunities for
future developments in this area.

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Issue
Vol. 9 No. 2 (2018): March-April 2018
Section
Articles

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Author Biography

Mayuri K P, SIR M VISVESVARAYA INSTITUTE OF TECHNOLOGY

Assistant professor Department of computer science and engineering

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