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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24088
Article Published : 9213
Total Authors : 24534
Total Reviewer : 841
Total Countries : 165
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| Paper Title: | AI-Powered Plant Disease Detection: Transforming Agriculture Through Intelligent Systems |
| Authors Name: | Devashri Ballani , Ambika Bhatia |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206948
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| Published Paper Id: | IJRTI2510110 |
| Published In: | Volume 10 Issue 10, October-2025 |
| DOI: | |
| Abstract: | The convergence of Artificial Intelligence (AI), Internet of Things (IoT), and precision agriculture is reshaping farming practices worldwide. Plant disease detection, traditionally reliant on manual inspection and subjective assessment, now benefits from AI-enabled systems capable of early identification, predictive analytics, and resource optimisation. This paper critically examines AI-powered plant disease detection technologies, exploring their underlying principles, applications, measurable impacts, limitations, and future directions. Drawing from peer-reviewed studies, case analyses, and global deployment data, it highlights both the promise and pitfalls of these innovations in enhancing yields, conserving resources, and promoting sustainable agriculture. The discussion integrates global perspectives, ethical concerns, and infrastructural challenges, emphasising multi-stakeholder collaboration as essential for equitable adoption. The findings suggest that AI systems can reduce crop losses by up to 50%, increase yields by 30–70%, and cut water use by nearly 40–50%. However, affordability, algorithmic bias, and data privacy remain critical barriers. |
| Keywords: | AI in agriculture; Plant disease detection; machine learning; IoT farming; precision agriculture; Sustainable crop management |
| Cite Article: | "AI-Powered Plant Disease Detection: Transforming Agriculture Through Intelligent Systems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 10, page no.b96-b100, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510110.pdf |
| Downloads: | 000205497 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2510110
Registration ID:206948
Published In: Volume 10 Issue 10, October-2025
DOI (Digital Object Identifier):
Page No: b96-b100 Country: Gurgaon, Haryana, India Research Area: Other Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2510110 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2510110 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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