Prediction of Cotton and Tomato Leaf Disease using Ensemble Learning Algorithm

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.

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Publication Details

Journal
International Journal of Computer Sciences and Engineering
Published
2024-08-31
DOI
https://doi.org/10.26438/ijcse/v12i8.1017
Primary Topic
Smart Agriculture and AI
Type
article
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article

Prediction of Cotton and Tomato Leaf Disease using Ensemble Learning Algorithm

P. Geetha, S. Clement Virgeniya
International Journal of Computer Sciences and Engineering
Smart Agriculture and AI
article

Prediction of Cotton and Tomato Leaf Disease using Ensemble Learning Algorithm

P. Geetha, S. Clement Virgeniya
article en

Abstract

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.

International Journal of Computer Sciences and EngineeringVol. 12(8)
Openalex Percentile: Top 84%
Smart Agriculture and AI
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Prediction of Cotton and Tomato Leaf Disease using Ensemble Learning Algorithm — P. Geetha, S. Clement Virgeniya · International Journal of Computer Sciences and Engineering (2024) | TGRS Research Map | TGRS