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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 : 19445
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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Published Paper Details
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| Paper Title: | CROP RECOMMENDER |
| Authors Name: | Ms.Alina Raheen , Vembakam Swarna Ambika , Konduru Priyanka , Bandla Anusha , Nara Manasa Mythri |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_200343
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| Published Paper Id: | IJRTI2501042 |
| Published In: | Volume 10 Issue 1, January-2025 |
| DOI: | |
| Abstract: | Agriculture plays a vital role in sustaining global food systems, yet its growth is often hindered by challenges such as declining soil quality, unpredictable weather patterns, and inefficient crop management practices. This research proposes a Smart Agriculture system designed to address these challenges by integrating advanced technological solutions. The system leverages real-time monitoring of key parameters, including soil nutrients, moisture, pH levels, and weather conditions, to recommend the most suitable crops for cultivation. Additionally, it employs Machine Learning algorithms to predict crop yields based on historical data, soil characteristics, and climatic trends. By offering data-driven insights, the system empowers farmers to make informed decisions, optimize resource utilization, and achieve higher productivity. This approach not only enhances profitability for farmers and also environment and society. |
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| Cite Article: | "CROP RECOMMENDER", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.a317-a321, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501042.pdf |
| Downloads: | 000418 |
| 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: IJRTI2501042
Registration ID:200343
Published In: Volume 10 Issue 1, January-2025
DOI (Digital Object Identifier):
Page No: a317-a321 Country: Bengaluru, Karnataka, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2501042 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2501042 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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