Abstract: Three types of machine learning were used in this paper: support vector machines (SVM), random forests, and the Naive Bayes. There are four main categorization metrics used to assess the efficiency of the system designed for the identification of insect pests. The four metrics covered here are accuracy, precision, recall, and F1-score. These results demonstrate that our enhanced SVM provides superior performance to the state-of-the-art approaches for automatic pest identification in crops.
Keywords: Machine Learning, Random Forests, SVM, Naive Bayes
Cite:
Dr. Vikrant Sharma, Dr. Jayanthiladevi,"CLOUD COMPUTING USING MACHINE LEARNING FOR AGRICULTURE APPLICATION", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 12, pp. 132-138, 2023, Crossref https://doi.org/10.17148/IJARCCE.2023.121221.
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DOI:
10.17148/IJARCCE.2023.121221
