A
Ahsan Morshed
Researcher at Central Queensland University
Publications - 58
Citations - 1078
Ahsan Morshed is an academic researcher from Central Queensland University. The author has contributed to research in topics: Linked data & Wireless sensor network. The author has an hindex of 13, co-authored 55 publications receiving 742 citations. Previous affiliations of Ahsan Morshed include Food and Agriculture Organization & Commonwealth Scientific and Industrial Research Organisation.
Papers
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Journal ArticleDOI
Internet of Things Platform for Smart Farming: Experiences and Lessons Learnt.
TL;DR: The design of SmartFarmNet is presented, an IoT-based platform that can automate the collection of environmental, soil, fertilisation, and irrigation data; automatically correlate such data and filter-out invalid data from the perspective of assessing crop performance; and compute crop forecasts and personalised crop recommendations for any particular farm.
Journal ArticleDOI
The AGROVOC Linked Dataset
Caterina Caracciolo,Armando Stellato,Ahsan Morshed,Gudrun Johannsen,Sachit Rajbhandari,Yves Jaques,Johannes Keizer +6 more
TL;DR: A brief historical summary of AGROVOC is provided and its specification as a Linked Dataset is detailed, containing links as well as backlinks and references to many other LinkedDatasets in the LOD cloud.
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Healthcare 4.0: A review of frontiers in digital health
Prem Prakash Jayaraman,Abdur Rahim Mohammad Forkan,Ahsan Morshed,Pari Delir Haghighi,Yong-Bin Kang +4 more
TL;DR: In this article, the wisdom pyramid methodology is used to conduct a systematic review of current digital frontiers in Healthcare 4.0.
Journal ArticleDOI
Early Weed Detection Using Image Processing and Machine Learning Techniques in an Australian Chilli Farm
Nahina Islam,Mamunur Rashid,Santoso Wibowo,Cheng-Yuan Xu,Ahsan Morshed,Saleh A. Wasimi,Steven T. Moore,Sk Mostafizur Rahman +7 more
TL;DR: RF and SVM algorithms are efficient and practical to use, and can be implemented easily for detecting weed from UAV images.
Journal ArticleDOI
Thesaurus maintenance, alignment and publication as linked data: the AGROVOC use case
Caterina Caracciolo,Armando Stellato,Sachit Rajbahndari,Ahsan Morshed,Gudrun Johannsen,Johannes Keizer,Yves Jaques +6 more
TL;DR: The AGROVOC multilingual thesaurus maintained by the Food and Agriculture Organisation of the United Nations is now published as linked data and current and future applications and directions are discussed.