Leaf Disease Analysis and Crop Suggestion Based on Soil Classification
- Title
- Leaf Disease Analysis and Crop Suggestion Based on Soil Classification
- Creator
- Thaiyalnayaki, S.; Sambandam, Rakoth Kandan; Vetriveeran, Divya; Jenefa, J.; Kalaiarasi, G.
- Description
- Agriculture is a major contributor to the Indian financial system. As we realize approximately 60% of the population of Indiansrely on agriculture. Nowadays among the farmers who are educated, people also do agriculture. Farmers are dealing with problems related to low earningsbecause of loss of productivity. Farmers are thinking in the event that they use extra fertilizers they may get a precise yield, but it can grow the greater funding. If they do like this the bodily properties of soil may additionally decrease, and they are able to get the expected yield. To conquer this trouble, farmers have to realize which crop might healthy the specific piece of land. If they pick out the right sort of crop that is cultivated then robotically, the yield of the crop will grow. Hence, crop advice systems can be very beneficial to farmers. The yield of the crop can also depend on many factors like pH, nitrogen, phosphorus, potassium, and rainfall. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
- Source
- Smart Innovation, Systems and Technologies;Volume;114 SIST;pp.193-205
- Date
- 01-01-2025
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Churn prediction; Feature selection; Interpretability analysis; Sampling
- Coverage
- Thaiyalnayaki S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to Be University), Tamil Nadu, Chennai, India; Sambandam R.K., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Vetriveeran D., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Jenefa J., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Kalaiarasi G., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology (Deemed to Be University), Tamil Nadu, Chennai, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 21903018; ISBN: 978-981964717-0;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Thaiyalnayaki, S.; Sambandam, Rakoth Kandan; Vetriveeran, Divya; Jenefa, J.; Kalaiarasi, G., “Leaf Disease Analysis and Crop Suggestion Based on Soil Classification,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25531.