Classification of Soil and Prediction of Crop
Shivakumar K. Honawad1, Santosh S.Chinchalli2
1Shivakumar K. Honawad*, Department of Information Science and Engineering, V.P.DR P.G. Halakatti College of Engineering and Technology Vijayapura, India.
2Santosh S.Chinchalli Department of Information Science and Engineering, V.P.DR P.G.Halakatti College of Engineering and Technology Vijayapura, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 27, 2020. | Manuscript published on April 10, 2020. | PP: 449-451 | Volume-9 Issue-6, April 2020. | Retrieval Number: F3725049620/2020©BEIESP | DOI: 10.35940/ijitee.F3725.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agriculture is a major backbone for most families. As we move from one location to other the soil is different. The yield from crop is not as much as accepted. The soil classification and crop prediction is done manually, so research in this field is at most importance. The Digitization technique has employed in this paper to overcome the manual task. Hence SCP algorithm has been implemented. The algorithm classifies images and provide suitable crop for classified soil. So this work can be used in agriculture field.
Keywords: Crops, Digital Technique, Soil Types, Soil Images.
Scope of the Article: Regression and prediction