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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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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23355
Article Published : 9033
Total Authors : 23952
Total Reviewer : 831
Total Countries : 162
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| Paper Title: | Intelligent Crop Prediction and Fertilizer Recommendation Using Machine Learning Techniques |
| Authors Name: | S.Siva Nithin , V.Harsha Vardhan , V.Tarun , Dr.M.Nisha , Dr.K.S.Ramanujan |
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IJRTI_210864
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| Published Paper Id: | IJRTI2604027 |
| Published In: | Volume 11 Issue 4, April-2026 |
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| Abstract: | This study is about a system that uses machine learning to predict crops and recommend fertilizers. The system looks at things like the soil and the environment including how nitrogen, phosphorus and potassium are in the soil as well as the temperature, humidity and how much it rains. The people who made this system used a lot of information from the Kaggle Crop Recommendation dataset, which has 2200 examples. They tried out a few ways of making predictions, including Random Forest, Support Vector Machine and XGBoost. They tested these methods by trying them out times and seeing how well they worked. The XGBoost model was the best at making predictions it got the answer 97.1% of the time. The system is now a web application that farmers can use to make choices, about their crops and plan what to plant. The Crop Prediction and Fertilizer Recommendation System is made to help farmers with this by using the Crop Prediction and Fertilizer Recommendation System. |
| Keywords: | Machine Learning, Random Forest, SVM, XGBoost, Crop Prediction, Streamlit. |
| Cite Article: | "Intelligent Crop Prediction and Fertilizer Recommendation Using Machine Learning Techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a186-a192, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604027.pdf |
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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: IJRTI2604027
Registration ID:210864
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: a186-a192 Country: Chennai , Tamilnadu , India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604027 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604027 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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