Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40774
Volume:
9 |
1 |
Jan 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
1/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
5
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...