"One of the most popular drinks, second only to

water, is tea. Bangladesh ranks as the world’s 10th-largest

manufacturer of tea. Tea has a big impact on poverty reduction,

rural development, and nutrition security. Over the past ten

years, Bangladesh has increased its tea supply. According to the

BTB figures, over 96.51 million kg were produced in 2021, an

increase of almost 54% from that of 2012. As tea is a profitable

crop from Bangladesh’s perspective, tea yield prediction can

play a significant role in increasing the production of tea. In this

paper, tea yield has been forecast using various machine

learning algorithms based on area-based tea production and

their weather data from 1968 to 2021. Necessary data has been

collected from BBS, BARC, and BMD government

organizations. Eight climate factors have been used for the

research. The data model has been evaluated by using eight

classification and regression algorithms, with the Random

Forest classifier showing the best accuracy of 97%. With this

approach, tea production can be increased while reducing food

threats and managing it for other nations."