Harnessing Machine Learning Techniques for Mapping Aquaculture Waterbodies in Bangladesh
Aquaculture in Bangladesh has grown dramatically in an unplanned manner in the past few decades, becoming a major contributor to the rural economy in many parts of the country. National systems for the collection of statistics have been unable to keep pace with these rapid changes, and more accurate...
Main Authors: | Hannah Ferriby, Amir Pouyan Nejadhashemi, Juan Sebastian Hernandez-Suarez, Nathan Moore, Josué Kpodo, Ian Kropp, Rasu Eeswaran, Ben Belton, Mohammad Mahfujul Haque |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/23/4890 |
Similar Items
-
Livestock and aquaculture farming in Bangladesh: Current and future challenges and opportunities
by: Kieron Moller, et al.
Published: (2023-12-01) -
Antibiotics usage practices in aquaculture in Bangladesh and their associated factors
by: Sukanta Chowdhury, et al.
Published: (2022-12-01) -
The Effectiveness of Machine Translation Using “Google Translate” in English Language Learning in Bangladesh
by: Arafat Shahriar
Published: (2023-06-01) -
Metagenomic assessment of the diversity and ubiquity of antimicrobial resistance genes in Bangladeshi aquaculture ponds
by: Ashley G. Bell, et al.
Published: (2023-04-01) -
Integrated floating cage aquageoponics system (IFCAS): An innovation in fish and vegetable production for shaded ponds in Bangladesh
by: Mohammad Mahfujul Haque, et al.
Published: (2015-11-01)