Citation

Maniam, Shamala and Zaman, Mukter and Wong, Hin Yong (2022) IOT Implemented Soil Moisture Probe With A Real-Time Monitoring Application. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text Shamala Maniam-foe.pdf - Submitted Version Restricted to Repository staff only Download (672kB)

Abstract

Soil moisture is the main factor in defining land surface characteristics. Appropiate soil water quantity is a must condition for optimal plant growth. Lands should neither be over-irrigated nor under-irrigated. To predict water table and moisture prediction which able to reduce the number of soil moisture probe to be deployed, a mathematical model is to be developed using neural network from soil moisture contents and soil temperature. A recurrent neural network will be explored for its ability to reconstruct time-series soil moisture dataset. The trained neural network will be used to predict time series soil moisture contents which able to reduce the number of probes usage for soil moisture data and reduces the cost.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	Neural network, soil moisture
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science S Agriculture > S Agriculture (General)
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	28 Dec 2022 03:46
Last Modified:	28 Dec 2022 03:46
URII:	http://shdl.mmu.edu.my/id/eprint/11028

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