Paddy crop disease diagnosis expert system design using fuzzy logic

Authors

D K Sreekantha, NMAM Institute of Technology, NitteFollow

Abstract

Food Agriculture Organization (FAO) has reported that India is one of the largest food grains producing country. The paddy production/hector of land which is highest in Egypt is 9.5, while India is producing only 2.9. India’s lower paddy productivity/hector and higher cost for production indicates that there is scope for improvement in many aspects of paddy crop production. The researchers have carried out a survey on the diagnosis of diseases on paddy crop using expert systems and aimed at designing a prototype expert system for coastal regions of India. This paper presents an interactive expert system model that identifies the diseases on paddy crop based on the symptoms and their different stages. Matlab Fuzzy logic toolbox has been used for the implementation of expert system prototype.

Recommended Citation

Sreekantha, D K (2017) "Paddy crop disease diagnosis expert system design using fuzzy logic," Manipal Journal of Science and Technology: Vol. 2: Iss. 2, Article 8.
Available at: https://impressions.manipal.edu/mjst/vol2/iss2/8