IoT based Smart Water Quality Prediction for Biofloc Aquaculture

no code implementations • 27 Jul 2022 • Md. Mamunur Rashid, Al-Akhir Nayan, Md. Obaidur Rahman, Sabrina Afrin Simi, Joyeta Saha, Muhammad Golam Kibria

Traditional fish farming faces several challenges, including water pollution, temperature imbalance, feed, space, cost, etc.

A Machine Learning Approach for Early Detection of Fish Diseases by Analyzing Water Quality

no code implementations • 15 Feb 2021 • Al-Akhir Nayan, Ahamad Nokib Mozumder, Joyeta Saha, Khan Raqib Mahmud, Abul Kalam Al Azad, Muhammad Golam Kibria

Early detection of fish diseases and identifying the underlying causes are crucial for farmers to take necessary steps to mitigate the potential outbreak and thus to avert financial losses with apparent negative implications to the national economy.

BIG-bench Machine Learning Decision Making

Real Time Multi-Class Object Detection and Recognition Using Vision Augmentation Algorithm

no code implementations • 17 Mar 2020 • Al-Akhir Nayan, Joyeta Saha, Ahamad Nokib Mozumder, Khan Raqib Mahmud, Abul Kalam Al Azad

The aim of this research is to detect small objects with low resolution and noise.

object-detection Real-Time Object Detection