2024
DOI: 10.11591/ijece.v14i2.pp1739-1749
|View full text |Cite
|
Sign up to set email alerts
|

Detection of diseases in rice leaf using convolutional neural network with transfer learning based on ResNeXt

Rajasekhar Veeramreddy,
Arulselvi Gnanasekaran,
Suresh Babu Kunchala

Abstract: Rice is the most cultivated crop in the agricultural field and is a major food source for more than 60% of the population in India. Occurrence of disease in rice leaves, majorly affects the rice quality, production and also the farmers’ income. Nowadays, new variety of diseases in rice leaves are identified and detected periodically throughout the world. Manual monitoring and detection of plant diseases proves to be time consuming for the farmer and also a costly affair for using chemicals in the disease treat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 27 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?