Open AccessClassification of Soil and Prediction of Crop
Author(s) -
Shivakumar Honawad,
Santosh S. Chinchalli
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f3725.049620
Subject(s) - digitization , field (mathematics) , crop , agricultural engineering , computer science , task (project management) , agriculture , crop yield , work (physics) , soil science , environmental science , agronomy , mathematics , engineering , computer vision , geography , mechanical engineering , systems engineering , archaeology , pure mathematics , biology
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.