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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40774

KrishiRaksha – A Disease and Pest Control App

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40774

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40774

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RP

Ronit Pathak

SNR

Sohith N. R

CR

Chakradhar Reddy

SKM

Shambhavi K. M

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Abstract

Agriculture remains at the forefront of human civilization, driving economies and providing sustenance. However, challenges like plant diseases and pests significantly reduce productivity, causing economic losses and threatening food security. Traditional mitigation methods, including manual inspections and chemical treatments, are often inefficient, costly, and unsustainable. Leveraging advancements in artificial intelligence (AI), this paper presents Krishi Raksha, an AI-powered application powered by Gemini AI, offering real-time diagnostics and actionable insights for farmers. By employing advanced image processing, real-time cloud-based analytics, and intuitive design, Krishi Raksha bridges the technological gap, empowering even those with minimal digital literacy. This comprehensive solution not only boosts productivity but also aligns with sustainable agricultural practices, marking a transformative step in smart farming. Through detailed analysis, this study explores the methodologies, results, and broader impacts of Krishi Raksha in combating agricultural challenges effectively.

KEYWORDS

Pests Artificial Intelligence Gemini AI Real Time Diagnosis Image Analysis Sustainable Farming Crop Loss Mitigation Actionable Insights.

Cite This Article

Ronit Pathak, Sohith N. R, Chakradhar Reddy, Shambhavi K. M, "KrishiRaksha – A Disease and Pest Control App," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40774

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Publication Date

1/15/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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5

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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