Authors :
Ashwin John; Denzil Davis; Athulya Merin C Tom; Dibin Davis; Jasmi Davis
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3biSTRB
DOI :
https://doi.org/10.5281/zenodo.6692499
Abstract :
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.
Keywords :
Quality, Testing, Machine Leraning Algorithm
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.
Keywords :
Quality, Testing, Machine Leraning Algorithm
