Citation

Siddiquee, Kazy Noor e Alam and Islam, Md Shabiul and Mohammad, Nurul Huda (2022) Smart Agriculture Monitoring System Using Hybrid Energy Harvesting Internet of Things. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Early researches went for detection or counting algorithms for crops and fruits using costly, bulky and limited sensor power. This research aims to develop algorithm for identification and quantification of crops which has direct economic value in the research fields with a hybrid energy harvesting agriculture monitoring system.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Agriculture, Convolutional Neural Network
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD1401-2210 Agriculture Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	28 Dec 2022 01:51
Last Modified:	28 Dec 2022 01:51
URII:	http://shdl.mmu.edu.my/id/eprint/11022

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