Classification of paddy weed leaf using neuro-fuzzy methods / Mohd Zulhilmi Ab Jamil … [et al.]

Ab Jamil, Mohd Zulhilmi and Mutalib, Sofianita and Abdul-Rahman, Shuzlina and Abd Aziz, Zalilah (2018) Classification of paddy weed leaf using neuro-fuzzy methods / Mohd Zulhilmi Ab Jamil … [et al.]. Malaysian Journal of Computing (MJoC), 3 (1). pp. 54-66. ISSN ISSN: 2231-7473 eISSN: 2600-8238

Official URL: https://mjoc.uitm.edu.my

Abstract

Paddy weed appears to be one of the many visible threats to paddy crop production and subsequently farmers’ income. It is for this reason that the growth of paddy weeds in paddy fields should be controlled as it results in a significant decrease of paddy yields. However, farmers might have limited knowledge on weed types, and are thus unable to identify and determine the right prevention methods. This paper presents classification methods for paddy weeds through the leaf shape extraction and applies neuro-fuzzy methods for recognizing the types of weeds. The types being focussed are the Sphenoclea zeylanica, Ludwigia hyssopifolia and Echinochloa crus-galli. The developed e-prototype methods would be able to classify paddy weeds with 83.78% accuracy. Hopefully, the findings in this study would assist farmers and researchers in increasing their paddy yields and eliminating weed growth respectively. The production of paddy in Malaysia would eventually be improved with the proposed methods, which can be considered as a technology advancement in the field of paddy production.

Metadata

Item Type: Article
Creators:
CreatorsEmail / ID. Num
Ab Jamil, Mohd Zulhilmimz.hilmi@gmail.com
Mutalib, Sofianitasofi@tmsk.uitm.edu.my
Abdul-Rahman, Shuzlinashuzlina@tmsk.uitm.edu.my
Abd Aziz, Zalilahzalilah@tmsk.uitm.edu.my
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Expert systems (Computer science). Fuzzy expert systems
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Malaysian Journal of Computing (MJoC)
Journal: UiTM Journal > Malaysian Journal of Computing (MJoC)
ISSN: ISSN: 2231-7473 eISSN: 2600-8238
Volume: 3
Number: 1
Page Range: pp. 54-66
Official URL: https://mjoc.uitm.edu.my
Item ID: 43155
Uncontrolled Keywords: Classification, Image processing, Neuro-fuzzy, Paddy weeds, Shape
URI: http://ir.uitm.edu.my/id/eprint/43155

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