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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Plant Disease Detection using AI & ML |
| Authors Name: | Saumya Singh , Shreya Singh , Sweta Singh |
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| Author Reg. ID: |
IJRTI_203243
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| Published Paper Id: | IJRTI2504317 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Agriculture holds a crucial role in India due to its growing population and increasing demand for food. Consequently, improving crop yields has become essential. One major factor contributing to dip in crop yields is the presence of diseases. These issues can be mitigated through effective detection of plant diseases. Techniques of Machine Learning are particularly useful for this purpose, as they leverage data-driven insights and provide advanced solutions for identifying plant diseases. Machine learning-based methods have proven effective in detecting diseases due to their ability to deliver superior results for specific tasks. This review focuses on various techniques used for plant disease detection, incorporating artificial intelligence (AI) through machine learning. These advancements have been applied across multiple fields, leading to significant progress in machine learning and computer vision. The study includes a comparative analysis of techniques of machine learning, evaluating their effectiveness and usage based on various research papers. |
| Keywords: | Artificial Intelligence (AI), Machine Learning (ML), Plant Disease Detection, Predictive Analytics, Crop Health Monitoring, Image Processing. |
| Cite Article: | "Plant Disease Detection using AI & ML", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.d139-d145, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504317.pdf |
| Downloads: | 000314 |
| 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: IJRTI2504317
Registration ID:203243
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: d139-d145 Country: Greater Noida, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504317 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504317 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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