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In this project we will be making a Soil Classification and Crop Recommendation System. This appplication will help the farmers to test the quality of the soil for the cultivation, so the farmers no need of going to the laboratories for testing the soil. By checking this we can find which crop can give more yield. With the help of a smartphone the farmers can test the soil by themselves. We are implementing this system by applying machine learning algorithm. The models are trained on the basis of a large dataset, so it will increase the accuracy of the model.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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