FUZZY LOGIC BASED PREDICTION MODEL FOR RAINFALL OVER AGRICULTURE IN NORTHEAST REGION

Rashi Srivastava, Prachi Sharma, A.K Daniel

Abstract


 India is agriculture based country whereas there are many factors that affect the increase or decrease of agricultural crops such as rainfall, temperature, humidity and growing season. Rainfall is one of the main factors that can change production that indicates the growth of that region. Considering the variation in soil which assumed to be constant and the environment parameter behaviour are in fuzzy nature. The proposed model is a prediction model which predicts the rainfall with parameter as temperature and humidity using fuzzy logic. The model also predict the growth of the agriculture production based on fuzzy logic concept. The simulation result shows a valid response of the growth of agriculture.

 


Keywords


Agriculture, Rainfall ; Fuzzy logic; Climate; temperature

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References


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DOI: https://doi.org/10.26483/ijarcs.v9i0.6163

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