Identification of Influential Factors for Productivity and Sustainability of Crops Using Data Mining Techniques

Abstract

India is a country in which agriculture plays a wide role with around 70% of its population is dependent on agriculture good in direct or indirect way. The agricultural sector contributes about 14% to GDP of India. As the population is increasing, demand for crops is also increasing day by day. About all suicides in India farmer suicide accounts for 11.2%. There are many reasons given for farmer suicides like inadequate monsoon rainfall, interest rate is high, certain government policies are not in welfare, mental health issues, personal and family problems. It is also noticed that even the states are responsible for manipulating certain statistics. this research work uses data mining clustering technique to group attributes that results in low crop production. Case studies are conducted to map and co-relate the low crop production, monsoon factors along with farmer suicidal data. The states are affected most is identified and further analysed.