Journal of FST
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Journal of FST
Bangladesh University of Professionals (BUP)
Publishing Model
Hybrid
Electronic ISSN
3134-7339
Print ISSN
2959-4812
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Research Article
Author(s): Mohammed Sowket Ali, Abu Muid Md. Raafee, Abu Saleh Musa Mia
Article Info: Journal of FST, ISSN: 2959-4812, Volume - 01, Issue - 01, July 2022, Article #9
Publish Date: July 1, 2022
Author(s): Mohammed Sowket Ali, Abu Muid Md. Raafee, Abu Saleh Musa Mia
DOI: -
Keywords: Agriculture, Precision Agriculture, Artificial Intelligence, Internet of Things, Robotics
User Activity: Views: 1868, Downloads: 1944, Citations: 0
Agriculture is the largest employment sector in Bangladesh. Which has a great impact on the economy, employment generation, poverty alleviation, human resources development, and food circuity of Bangladesh. Traditional Farming uses age-old agriculture equipment whereas Smart Farming is driven by modern latest technology-intensive farming methods. This smart farming system is cost- effective and middle-class farmers can use it in the farm field. This article reviews data-driven smart farming solutions incorporating Artificial Intelligence (AI), Internet of Things (IoT), Robotics and the management involved in the implementation of these smart farming systems in low-income countries like Bangladeshi Agriculture.
Mohammed Sowket Ali, Abu Muid Md. Raafee, Abu Saleh Musa Mia. (July 1, 2022). Smart Farming using AI towards Bangladeshi Agriculture. Journal of FST, Volume 01, Issue 01.