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A Survey on Predictive Analysis in Agricultural Soil Health Data to Predict the Best Fitting Crop

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 3)

Publication Date:

Authors : ; ; ;

Page : 161-165

Keywords : Data mining; Neural Network; Agriculture; Soil Data Analysis; Classification;

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Agriculture hold an important sector in the Indian economy as it contributes around 18% of India's gross domestic product (GDP). India is an agricultural based country where more than 50% of the population depends on agricultural. Hence there is a need to provide farmers with the effective technology and knowledge to yield better crops based on the type of soil. Different types of soil are present in India. Different types of soil have different mineral contents and each crop require different mineral components for their better growth. Each soil has certain specific characteristic and is suitable to grow only certain number of crops. Hence a farmer should know about the type of soil he possesses so that he can cultivate better crops. In this paper we have described various effective algorithms and neural network techniques which have been used to classify the soil data based on the mineral contents and predict the best suitable crop for it.

Last modified: 2019-03-19 18:23:30