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Mahanijah Md Kamal
Universiti Teknologi MARA

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Classification of Leaf Disease from Image Processing Technique Mahanijah Md Kamal; Ahmad Nor Ikhwan Masazhar; Farah Abdul Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp191-200

Abstract

Disease in palm oil sector is one of the major concerns because it affects the production and economy losses to Malaysia. Diseases appear as spots on the leaf and if not treated on time, cause the growth of the palm oil tree. This work presents the use of digital image processing technique for classification oil palm leaf disease sympthoms. Chimaera and Anthracnose is the most common symtoms infected the oil palm leaf in nursery stage. Here, support vector machine (SVM) acts as a classifier where there are four stages involved. The stages are image acquisition, image enhancement, clustering and classification. The classification shows that SVM achieves accuracy of 97% for Chimaera and 95% for Anthracnose.
Development of Detection and Flood Monitoring via Blynk Apps Mahanijah Md Kamal; Nur Anum Zuraimi Md Noar; Aqil Muhammad Sabri
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp361-370

Abstract

Flash flood is a common disaster event occured at Jalan Ilmu 1/1, Universiti Teknologi MARA Shah Alam Campus when there is a heavily raindrops. This paper describes the development of prototype used for detection and monitoring purposes. Flash floods can lead to destruction of properties and infrastructures.This system is based on two NodeMCU based technology integrated using Blynk application (IOS or android). The wireless sensor network systems can help the citizens by detecting the water levels and give an early warning when a flood occurs faster and easy. Basically, there are two part of the system which are the sensor node and the base station. The sensor node detects the water level using an ultrasonic sensor and display the current water level.The first NodeMCU is placed at the identified flood area, whilst the second NodeMCU acts as the control unit. Data detected from the ultrasonic sensorsare sent to the Blynk application via wireless connection.Two test have been conducted to test the effectiveness of the propose system. It can be found that this prototype able to detect, monitor and give alarm to the affected area if the flash flood happens in the future.
Co-Authors Ahmad Nor Ikhwan Masazhar Aqil Muhammad Sabri Farah Abdul Rahman Nur Anum Zuraimi Md Noar