Identification of Late Blight and Early Blight Diseases in Potato Using Image Processing Techniques: A Case Study

Abstract

Potato is one of the highly demanded commercial crops that is cultivated majorly in the upcountry region in Sri Lanka. However, the average yield of potato is far below the potential yield as the crop is heavily affected by pest and disease attacks (Eeswaran et al., 2016). Based on several surveys under “Ruhuna Govi-Nena” project and the recent state-of-art findings, it is clearly revealed that lack of context-specific, complete and actionable information to make timely-quality decisions (Ginige et al., 2016) to prevent, detect and control pest and disease are major factors which reduces the potato yield. To check the feasibility of addressing this critical issue, this case study was conducted in selected potato fields in “Boragas” area in “Nuwaraeliya” district Sri Lanka.