Abstract: The okra crop, commonly called lady’s finger, is a commercial crop grown by farmers. But when these crops are infected, they wreak havoc on the life of farmers as well as on the economy. Plant disease issues are due to problems arising in agricultural activities and climate change. It causes money problems and losses to profits, farmers, and to whole industry depending on okra. If disease identification is done without appropriate techniques, then the problem remains the same. Various research has proposed several techniques to overcome these infections. CNN, Deep learning, and many other machine-learning techniques are used for detecting and classifying plant diseases.
Keywords: Okra, CNN, Deep learning, Machine learning, detecting, classifying
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DOI:
10.17148/IJARCCE.2023.12630
