Citation

Mahmud, Umar and Hussain, Shariq and Altaf Raja, Sohaib and Mehmood, Raja Majid (2026) An AIoT-enabled, context-aware Bayesian classification system for smart and sustainable potager farming. Cogent Food & Agriculture, 12 (1). ISSN 2331-1932

Text An AIoT-enabled, context-aware Bayesian classification system for smart and sustainable potager farm.pdf - Published Version Restricted to Repository staff only Download (1MB)

Abstract

Urban societies are promoting citizens to develop potagers to sustain their needs, however, they lack agricultural training, which emphasizes the need for smart and sustainable potager farming.The use of sensors provides data, which is then processed using machine learning algorithms to determine the state of a field and is termed context processing. The proposed system gathers sensor data through a Raspberry Pi device connected with sensors thus making it context-aware. Computation is carried out in the smart device which reduces dependency on the Cloud, and improves latency thus making the system novel. The sensor data includes crop type, moisture level, smoke sensor, temperature, fire sensor, and weather data which are all part of a field. The data is collected at regular intervals and is used to maintain the moisture in the field and raise alerts in the event of an emergency. The proposed system has been evaluated on a simulated case and a close dataset available on Mendeley with a mean accuracy of 92.88%, mean recall of 47.56%, mean precision of 69.12%, the mean F1-score of 52.59%, and the mean specificity of 75.59%, over 25 independent experiments. Bayesian classification outperforms other algorithms over the same experiments

Item Type:	Article
Uncontrolled Keywords:	Agricultural engineering,information &communication technology (ict), agriculture & relatedindustries
Subjects:	S Agriculture > S Agriculture (General) T Technology > TA Engineering (General). Civil engineering (General) > TA177.4-185 Engineering economy
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	01 Oct 2026 04:15
Last Modified:	01 Oct 2026 04:15
URII:	http://shdl.mmu.edu.my/id/eprint/16772

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