Simple Screening Method of Maize Disease using Machine Learning
Chyntia Jaby ak Entuni1, Tengku Mohd Afendi Zulcaffle2
1Chyntia Jaby ak Entuni*, Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak (UNIMAS), Jln Datuk Mohd Musa, Kota Samarahan, Sarawak, Malaysia.
2Tengku Mohd Afendi Zulcaffle, Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak (UNIMAS), Jln Datuk Mohd Musa, Kota Samarahan, Sarawak, Malaysia.
Manuscript received on October 11, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 464-469 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4193119119/2019©BEIESP | DOI: 10.35940/ijitee.A4193.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Plant leaf diseases are significant issue in agriculture field. Some of the common plant leaf diseases are powdery mildew, dark spot and rust. They are a noteworthy wellspring of an immense number of dollar worth of setbacks to farmers on a yearly premise. Plant breeders frequently need to screen countless number of plant leaves to find the stage of diseases of their crops to perform an early treatments. Therefore, a robust method for field screening is needed in order to spare the farmers and the environment as well. Inappropriate used of treatments such as impulsive pesticides can imperil the environment. Hence, this paper present a simple and efficient machine learning method which is Fuzzy C-Means algorithm to screen leaf disease severity in maize. Fuzzy C-Means is a new algorithm and very efficient to be used in object detection. Therefore, it is applicable to detect disease spot in plant leaf and measure the diseases severity. This field screening method help the farmer to identify the progression of the diseases in their crops quicker and easier than the other field screening techniques.
Keywords: Plant leaf Disease, Field Screening, Machine learning, Fuzzy C-Means, Maize.
Scope of the Article: Machine learning