International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 05 | May 2022
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
Digital Soil Mapping using Machine Learning Ashu Bansal, Riya Jain, Muskan Rastogi, Vimal Kumar Department of Computer Science and Engineering, Meerut Institute of Engineering and Technology, Meerut,Uttar Pradesh, India ----------------------------------------------------------------------------***----------------------------------------------------------------ABSTRACT Agriculture is a non-technical sector where in technology can be incorporated for the betterment. Soil analysis is a method to analyse the available plant nutrients in the soil. Soil provides major nutrients to the plants. To create a prediction engine for most appropriate crop for a particular soil. It also determines the type of soil and its fertility. This work predicts the suitable crop and the fertility of a particular soil by analyzing the major and micro nutrients present in the soil. There are mainly three soil parameters that come into consideration when we have to predict the quality of the soil. This method suggests the soil fertility and suitable crop for a soil using Machine Learning Techniques.Our result gives the compatible crop for a particular soil sample by considering important soil parameters and by applying appropriate Machine Learning algorithm. Suitable crop for a particular sample is predicted on the basis of NPK factor, type of soil according to the pH level and soil fertility on the basis of major and micro nutrients with the maximum accuracy.
Keyword : Nutrients, parameters, Machine Learning, Accuracy. 1
INTRODUCTION
Agriculture is a non-technical sector where in technology can be used for the efficient management of soil. There is quick implementation and easy in adoption in the agricultural technology. Usually farmers used traditional method known as crop mutation after every subsequent crop yield [1]. In many countries, this traditional method is implemented where the change in crop is done after a loss in yield for cultivating the same crop continuously. This method helps the soil to regain the nutrients that were consumed by the crop previously and use the remaining nutrients for cultivating the new crop. Soil fertility is also maintained by this process. Farmer has to face a loss in yield when they come to know about condition of soil which is unfit to yield the particular crop [2]. About one financial year is important for a farmer to accept the loss in yield. Solution to the above stated problem is suggested using Machine Learning Techniques. There are mainly three soil parameters that becomes necessary in the prediction of soil fertility and suitable crop for a soil sample.
Chemical Parameters
Physical Parameters Biological ParametersTable 1 Soil Parameters Parameters
Chemical
Description
Physical
Electrical Conductivity
Ions present in the soil sample are measured by the EC of soil. Conductivity of the soil increases when there is a movement of ions.
Texture
Land consists of varieties of soil such as Clayey, Sandy, Layered, Semi-Layered etc.
pH
It is a scale used to specify the acidic or basic character of an aqueous solution.
Sulphur
It helps in the production of chlorophyll that is required for the photosynthesis.
Chemical
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