Machine Learning Technology for Disease Classification in Agriculture Using Convolution Neural Networks (CNN)

Authors

  • Trushar B Patel ,Dr.Hitesh Raval Author

DOI:

https://doi.org/10.48047/gg331941

Keywords:

ML,DL,AI,CNN,SVM,AP

Abstract

Precision agriculture (PA) represents an advanced farming management concept that uses modern technology to enhance crop yield and efficiency. Machine learning (ML), a subset of artificial intelligence (AI), is pivotal in PA for analyzing data and making informed decisions. This paper explores the integration of ML in PA, focusing on techniques for tracking, evaluating, and improving agricultural precision.

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References

• Abiodun, O. I., Jantan, A., Omolara, A. E., Dada, K. V., Umar, A. M., & Linus, O. U. (2018). State-of-the-art in artificial neural network applications: A survey. Heliyon, 4(11), e00938.

• Aravind, K. R., Raja, P., & Devadhas, D. P. (2020). Applications of machine learning in agriculture: A survey. Indian Journal of Science and Technology, 13(12), 1324- 1331.

• Bechar, A., & Vigneault, C. (2016). Agricultural robots for field operations: Concepts and components. Biosystems Engineering, 149, 94-111.

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Published

2025-03-12

Issue

Vol. 54 No. 5 (2025): Year 2025 ,Volume 54 Issue 5

Section

Articles

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How to Cite

Trushar B Patel ,Dr.Hitesh Raval. (2025). Machine Learning Technology for Disease Classification in Agriculture Using Convolution Neural Networks (CNN) . Cuestiones De Fisioterapia, 54(5), 183-194. https://doi.org/10.48047/gg331941