Forecasting Tea Production in the Context of Bangladesh Utilizing Machine Learning
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 …
world's 10th-largest manufacturer of tea. Tea has a big impact on poverty reduction, rural …
Harvesting Insights: Unveiling the Future of Mango Yield Using Real-Time Bangladesh Climate Data by Supervised Machine Learning Approach
MMR Sarker, MS Ahamed, LB Iqbal… - 2023 14th …, 2023 - ieeexplore.ieee.org
Mango, a unique fruit of the Indian subcontinent, was cultivated under the supervision of
Mughal emperor Akbar [1]. Its exceptional taste impressed Alexander the Great [2] …
Mughal emperor Akbar [1]. Its exceptional taste impressed Alexander the Great [2] …
Airline Sentiments Unplugged: Leveraging Deep Learning for Customer Insights
Over the past twenty years, the competitive airline industry has expanded at an exponential
rate. As more people travel through various airlines, they encounter more amenities and …
rate. As more people travel through various airlines, they encounter more amenities and …
Predicting Sugarcane Yields using Supervised Learning: A Comparative Study
Bangladesh's sole source of white sugar is sugarcane, an agricultural commodity used to
produce biofuels and other products. In recent years, ML techniques have been used to …
produce biofuels and other products. In recent years, ML techniques have been used to …
GingerBangla: A Supervised Machine Learning Approach for Predicting Ginger Yield using Bangladeshi Climate Data
LB Iqbal, L Rukhsara, MMR Sarker… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Ginger (Zingiber officinale) farming is an important part of Bangladesh's agriculture, and it
also contributes significantly to the country's economy. Accurate prediction of ginger yield is …
also contributes significantly to the country's economy. Accurate prediction of ginger yield is …