The Internet of Things (IoT) is a transformative technology that is reshaping industries and daily life, leading us towards a connected future that is full of possibilities and innovations. In this paper, we present a robust framework for the application of Internet of Things (IoT) technology in the agricultural sector in Bangladesh. The framework encompasses the integration of IoT, data mining techniques, and cloud monitoring systems to enhance productivity, improve water management, and provide real-time crop forecasting. We conducted rigorous experimentation on the framework. We achieve an accuracy of 87.38% for the proposed model in predicting data harvest. Our findings highlight the effectiveness and transparency of the framework, underscoring the significant potential of the IoT in transforming agriculture and empowering farmers with data-driven decision-making capabilities. The proposed framework might be very impactful in real-life agriculture, especially for monsoon agriculture-based countries like Bangladesh.

The study was conducted to determine the pros and cons of using Restaurant Management System (RMS) based on the views of restaurant staff in the context of Bangladesh. The effectiveness of RMS use in terms of business features was examined and differences were sought. Data were collected using a structured questionnaire. Participants working in restaurants where RMS was used were of the view that RMS simplified operations, increased sales, and improved product/service quality, while those working in restaurants where RMS was not used had higher scores in expressions of difficulty using the system. In addition, RMS has a more positive impact on sales growth and product / service quality delivery according to the chain restaurant staff (p <0.05). Again, restaurant employees with a minimum score of 10 or fewer employees are included in relation to the positive impact of using RMS in terms of operations management and sales growth. Therefore, there is a relationship between business size and RMS usage requirements.