Soil classification through ai techniques

Soil classification through ai techniques

Registration ID: IJNRD_189729

Published ID: IJNRD2303464

DOI: Click Here to Get

Chilakala david , Kaleru likhitha , Patlolla ruchitha

Agricultural, land type, SVM technique, image processing, and classification techniques.

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.

Published Paper   E-Certificate

"Soil classification through ai techniques", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e506-e515, March-2023, Available :https://ijnrd.org/papers/IJNRD2303464.pdf

Volume 8 Issue 3, March-2023

Pages : e506-e515

Paper Reg. ID: IJNRD_189729

Published Paper Id: IJNRD2303464

Downloads: 000121108

Research Area: Computer Science & Technology 

Country: KHAMMAM, TELANGANA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303464.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303464

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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