The classification and recognition of foliar diseases is an increasingly developing field research, where the concepts machine deep learning are used to support agricultural stakeholders. Datasets fuel for development these technologies. In this paper, we release make publicly available dataset collected diagnose monitor plant symptoms, called DiaMOS Plant, consisting 3505 images pear fruit lea...

In this paper proposes different conventional and fuzzy based clustering techniques for fault detection and isolation in process plant monitoring. Process plant monitoring is very important aspect to improve productiveness and efficiency of the product and plant. This paper takes a case study of plant data and implements K means algorithm and fuzzy C means algorithm to cluster the relevant data...