Research Publication

Computer Vision
Cost-consequence analysis of computer vision-based skin prick tests: implications for cost containment in Bangladesh
- article
- performance and security
- sql injection and cross browser check
Computer Vision
Emotional Intelligence and its Association with Academic Success and Performance in university students.
- students performance
- students emotions
- students sucess


Smart agriculture system in Bangladesh with computer vision
A smart agriculture system in Bangladesh using computer vision revolutionizes farming by leveraging AI to monitor crops, detect diseases, and optimize yield. By analyzing real-time data from images, it enables precise irrigation, pest control, and soil health monitoring. This technology empowers farmers, enhances productivity, reduces costs, and promotes sustainable agricultural practices.
- Crop Monitoring anComputer vision analyzes real-time images to identify crop health, detect diseases, and ensure timely intervention.
- It optimizes irrigation, pest control, and soil management, reducing waste and improving productivity.
- Promotes efficient resource usage, lowers costs, and supports sustainable agricultural practices in Bangladesh.
Transforming Communities
- Procuring education on consulted assurance in do.
- Northward by described up household therefore attention.
- Excellence decisively nay man yet impression for contrasted remarkably.


Next-Generation Environmental Impact Assessments: AI and Computer Vision Solutions
Environmental effect checks (EIAs) play a critical role in sustainable development by way of comparing the capacity of environmental effects of industrial, urban, and infrastructure projects. Conventional EIA strategies are often time-consuming, resource-in depth, and prone to human bias, leading to delays in selection-making and capability inaccuracies
- Actual-time monitoring is any other place where automation can enhance EIAs
- Resource in depth of the plants
- Excellence decisively nay man yet impression for contrasted remarkably.
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