Abstract:
Bangladesh is predominantly agricultural country and the agriculture sector is crucial to
the country's economic development. To maintain long-term food security for humans,
it is necessary to developing a productive, stable, and ecologically friendly agricultural
system. Researchers in agriculture are working hard to develop techniques that will
boost livestock and crop yields, improve farmland productivity and minimize the
diseases and insect damage. They strive to increase overall food quality and construct
more efficient equipment. This research work proposed a system for estimating the
production of twelve distinct crops cultivated in Bangladesh's Cumilla and Chandpur
districts. This system takes a few simple characteristics as input (district, sub district,
crop name, and area) and predicts crop yield as output. Random Forest Regression and
Decision Tree Regression are used in this study as advanced regression systems. People
will be able to determine which crop will produce the maximum yield on their land by
using this approach.
