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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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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| Paper Title: | Soil classification through ai techniques |
| Authors Name: | Chilakala david , Kaleru likhitha , Patlolla ruchitha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_189729
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| Published Paper Id: | IJNRD2303464 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | A vital element in agriculture is soil. There are numerous varieties of soil. Many types of soil support a wide range of crops, and each type of soil has unique qualities. Understanding the qualities and characteristics of various soil types is necessary to determine which crops thrive in particular soil types. Machine learning techniques might prove helpful in this situation. In recent years, it has undergone substantial development. Machine learning is still a very young and challenging research area in agricultural data processing. The conventional procedures for classifying soil in a laboratory take a lot of time, work, and money. In this, we created a model that predicts the red soil type from other soils using convolutional neural networks. Our strategy entails creating a model to determine whether or not red dirt is present in an image when the user delivers the input image. Image pre-processing, feature extraction, and classification are a few of the processes that make up the process of detecting and classifying red dirt. |
| Keywords: | Agricultural, land type, SVM technique, image processing, and classification techniques. |
| Cite Article: | "Soil classification through ai techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e506-e515, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303464.pdf |
| Downloads: | 000118754 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2303464 Registration ID: 189729 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: e506-e515 Country: KHAMMAM, TELANGANA, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303464 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303464 |
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ISSN: 2456-4184
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