Classification of Fruit Diseases Using Hybrid Deep Learning Model

Authors

  • Tella.Sunitha, Dr.M.Suresh, N.Srinu, Dr.K.Navaz, P.Anitha

DOI:

https://doi.org/10.17762/msea.v69i1.1588

Abstract

Abstract: Using the Raspberry Pi board and the Mixture Profound Learning, we examine the paper regarding the standard item grouping and quality maintenance. India has a predominately agro-based economy, with farming serving as the main source of income for the nation's farmers, who are referred to as its foundation. Farmers are known to employ a variety of methods, and because of a lack of training, they are still far from establishing the high level specific farming apparatuses. We are putting forth a low-cost, reliable natural item quality maintenance device that will be useful to farmers and our regular item sellers. In this paper, natural item acknowledgment depiction and arrangement have been finished employing simulated intelligence and embedded

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Published

2023-01-12

How to Cite

Tella.Sunitha, Dr.M.Suresh, N.Srinu, Dr.K.Navaz, P.Anitha. (2023). Classification of Fruit Diseases Using Hybrid Deep Learning Model. Mathematical Statistician and Engineering Applications, 69(1), 70–80. https://doi.org/10.17762/msea.v69i1.1588

Issue

Section

Articles