FARMING MADE EASY USING MACHINE LEARNING

Abstract

Agriculture is the primary mainstay of the economy in our country. In recent years
because of uncertain trends in climate and other fluctuations in the price trends, the price
of the crop has varied to a larger level. Farmers remain oblivious of these uncertainties,
which spoils the crops and causes massive loss. They are unaware of the crop type which
would benefit them most. Due to their limited knowledge of different crop diseases and
their specific remedies, crops get damaged. This system is handy, easy-to-use. It provides
accurate results in predicting the price of the crop. This framework utilizes Machine
Learning’s Decision Tree Regression Algorithm to predict crop price. The attributes
considered for prediction are rainfall, wholesale price index, month, and year.
Consequently, the system gives an advance forecast to the farmers' which grows the
speed of profit to them and consequently the country's economy. This system also incorporates other modules like weather forecast, crop recommendation, fertilizer
recommendation, and shop, chat portal, and guide are also implemented.