An automatic plant disease symptom segmentation concept based on pathological analogy

• Main Authors: Aliyu, M. A., Musa, M. M., Usman, U. S.
• Format: Conference or Workshop Item
• Language: English
• Published: 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/89661/1/AliyuMuhammadAbdu2019_AnAutomaticPlantDiseaseSymptom.pdf; http://eprints.utm.my/id/eprint/89661/; https://dx.doi.org/10.1109/ICSGRC.2019.8837076
• Institution: Universiti Teknologi Malaysia

This paper proposes an automatic disease symptom segmentation algorithm using a simple pathological pattern recognition concept to segment plant disease visual symptoms on digital leaf images. The novelty of the algorithm is in the use of pathological analogy of diseases caused by pathogens, distinc...