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ROLE OF IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES IN DISEASE RECOGNITION, DIAGNOSIS AND YIELD PREDICTION OF CROPS: A REVIEW.
- Source :
- International Journal of Advanced Research in Computer Science; Mar/Apr2018, Vol. 9 Issue 2, p788-795, 8p
- Publication Year :
- 2018
-
Abstract
- Agriculture planning plays a significant growth and food security of an 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09765697
- Volume :
- 9
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- International Journal of Advanced Research in Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 130548848
- Full Text :
- https://doi.org/10.26483/ijarcs.v9i2.5793