BHUPHALA: Computer Vision-Based Soil Analysis for Efficient Crop Recommendation

Mr. Prashanth H S1, Nishanth C P2, Priyanka M3, Punya Shree B4, Rajath Kumar Y G5

Assistant Professor, Dept of Computer Science and Engineering, KSIT, Karnataka, India1

Student, Dept of Computer Science and Engineering, KSIT, Karnataka, India2-5

Abstract:Soil condition has a strong effect on crop growth and overall agricultural productivity. Choosing a suitable crop based on soil characteristics is necessary to achieve better yield and efficient use of resources. Traditional soil testing methods usually depend on laboratory-based procedures, which are accurate but require more time, higher cost, and proper facilities. These limitations make it difficult for farmers, especially in rural areas, to analyze soil regularly, which may lead to improper crop selection.In our proposed system, soil images are examined using computer vision and image processing techniques. Important features such as color, texture, and moisture are extracted to identify soil type, and appropriate crops are suggested based on the analysis. This approach provides a quicker, cost-effective, and simple solution compared to conventional methods. It helps farmers make better decisions and enhances agricultural productivity while supporting sustainable farming practices.Keywords - Soil Analysis, Computer Vision, Image Processing, Soil Classification, Crop Recommendation