Soil classification through ai techniques
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.
"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: 000118851
Research Area: Computer Science & Technology
Country: KHAMMAM, TELANGANA, India
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
