Enhancing the accuracy in crop prediction by comparing the naive bayes classifier algorithm and MLP classifier algorithm

A. Varun Teja

doi:10.1063/5.0238129

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Enhancing the accuracy in crop prediction by comparing the naive bayes classifier algorithm and MLP classifier algorithm

A. Varun Teja

Year: 2024 Journal: AIP conference proceedings Vol: 3193 Pages: 020176-020176 Publisher: American Institute of Physics

DOI: 10.1063/5.0238129

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Keywords:

Naive Bayes classifier Computer science Algorithm Classifier (UML) Artificial intelligence Machine learning Statistical classification Bayes classifier Pattern recognition (psychology) Support vector machine

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Topics

Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Leaf Properties and Growth Measurement

Life Sciences → Agricultural and Biological Sciences → Plant Science

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Enhancing the accuracy in crop prediction by comparing the naive bayes classifier algorithm and MLP classifier algorithm

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