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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 5, MAY 2023

DETECTION OF OKRA DISEASE - A SURVEY

Maanyatha Mahesh,Suloni Praveen,Swathi Meghana K R, Supriya T C, Shraddha C

DOI: 10.17148/IJARCCE.2023.125191
Abstract— The okra crop, commonly called lady’s finger, is a commercial crop grown by farmers. However, when these crops become contaminated, they cause havoc in the lives of farmers as well as the economy. Plant disease problems are caused by challenges in agricultural activity and climate change. It produces financial troubles and losses for earnings, farmers, and the entire okra business. The difficulty persists if disease identification is performed without the use of appropriate procedures. Several studies have offered various methods for combating these illnesses. For detecting and classifying plant diseases, CNN, Deep learning, and other machine-learning algorithms are applied. Keywords— Okra, CNN, Deep learning, Machine learning, detecting, classifying.

How to Cite:

[1] Maanyatha Mahesh,Suloni Praveen,Swathi Meghana K R, Supriya T C, Shraddha C, “DETECTION OF OKRA DISEASE - A SURVEY,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.125191