Survey on Improving the Prediction of Soil Classification and Crop Suggestion
| Main Authors: | Dr K. A. Waghmare, Sheetal A. Jhare |
|---|---|
| Format: | Article eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3716220 |
Daftar Isi:
- Agriculture plays an important role in the Indian economy. It remains the major provider for employees and source of revenue of our country. The main focus of this survey is on how to improve the soil quality and crop production. We are going to study the classification problem and prediction of village wise soil parameters. Both are dependent on soil testing samples for finding soil fertility indices and pH values which represent a detail overviewing on application of machine learning in agriculture base. Mostly above problems are solved using machine learning technique which also achieve better accuracy in these areas. By applying machine learning in real time data which enabled program to present high testimonial and deep perceptivity for experts and farmers to make correct decision and take proper action.