INTEGRATED SMART FARMING ASSISTANCE SYSTEM USING MACHINE LEARNING

Agriculture is a vitalsegment of the economy and food production for several countries. However, several issues, such as
unpredictable weather conditions, diseases,
low crop yield, and market price volatility, are
faced by the farming community. These issues
have a great impact on the overall crop yield
and the financial condition of the farmers. New
technologies like Artificial Intelligence and
Machine Learning help solve these problems
by providing an intelligent solution for
them.The proposed system is an “AI-based
Smart Agriculture Platform” that will assist
the farming community in enhancing the
overall crop yield. It has several components,
such as crop recommendation, crop disease
detection, crop yield prediction, market price
prediction, AI farming assistant, smart crop
calendar, and an agricultural store.The system
will analyze the data related to agriculture,
such as soil types, rainfall, temperature, and
crops, and provide useful recommendations.
Machine learning algorithms will be used for
crop yield prediction and market price
prediction. The AI assistant will also help the
farming community by answering any
questions related to farming.The main aim of
the system is to provide the farming
community with a smart solution for decisionmaking in the field of agriculture.