Citation

Ibrahim, Wassem and Ooi, Chee Pun and Tan, Wooi Haw (2022) Identification Of Leaf Diseases Detection for Smart Farmings. In: Postgraduate Colloquium December 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

Text WASSEM IBRAHIM ABDELHAMID ELDUSUQI ALTABAJI-foe.pdf - Submitted Version Restricted to Repository staff only Download (564kB)

Abstract

In industrial agriculture, the diagnosis of plant diseases is receiving a lot of interest and attention. Early detection of disease symptoms can help to prevent epidemics on crops. Currently, specific artificial intelligence techniques are being used to provide quicker disease detection and identification with less work and price. On top of that, innovative AI techniques are used to create a system on edge and digital computing devices, which are frequently equipped with hardware like sensors and actuators.

Item Type:	Conference or Workshop Item (Poster)
Uncontrolled Keywords:	agriculture, Convolutional neural networks
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD101-1395.5 Land use. Land tenure 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:	29 Dec 2022 02:40
Last Modified:	29 Dec 2022 02:40
URII:	http://shdl.mmu.edu.my/id/eprint/11074

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