An Automated Crop and Plant Disease Identification Scheme Using Cognitive Fuzzy C-Means Algorithm

Abstract

The cultivation of crops, conservation of plants, restoration of landscape, and management of soil are the phases incorporated in agriculture and horticulture. During the cultivation and conservation stages, the plants and the crops are affected by various diseases such as Bacterial scourge, Bacterial Leaf Blight, Brown spot, Seeding blight, Leaf streak, Powdery Mildew, Fire Blight, Black Rot and Apple Scab. These diseases in plants will lead to losses such as manufacturing and financial loss in farming industry worldwide. To maintain the sustainability in horticulture, the detection of crop disease and maintaining the condition of the plants are important. The Computer Aided Detection (CAD) in the agriculture and horticulture is the emerging trend, based on the digital imaging that provides the detailed analysis about the disease by applying the image mining process. In this work, the Cross Central Filter (CCF) technique is proposed to perform the noise removal process in the image and the identification of objects in the image is applied by using the Cognitive Fuzzy C-Means (CFCM) algorithm to differentiate the suspicious region from the normal region. The evaluation is conducted against the diseases affected in the rice crop and apple trees. The performance evaluation proves that the proposed design achieves the best performance results compared to the other filters and the segmentation techniques.

KEYWORDS:

• Approximation
• Filtering
• Horticulture
• Image mining
• Noise removal
• Plant pathology
• Suspicious region segmentation

Additional information

Notes on contributors

S. Sampathkumar

S Sampath Kumar received the BTech degree in information technology from Kumaraguru College of Technology, Coimbatore in 2006 and MTech degree in information technology from Anna University of Technology, Coimbatore, in 2010. He is currently working for PhD degree in the area of image processing at Anna University, Chennai. His area of interest is image processing, theoretical computation, and machine learning. He is working as an assistant professor in CSE Department in the Sri Eshwar College of Engineering having an experience of 9 years and 10 months. Corresponding author. E-mail: [email protected]

R. Rajeswari

R Rajeswari received the BE (EEE) degree from TCE, MK University in the year 1995 and ME (power system engineering) from TCE, MK University in the year 1998. She has completed the doctoral degree from Anna University, Chennai, in the area of power system protection in the year 2009. Her area of interest is power system engineering. Presently, she is working as assistant proof (senior)/EEE at Government College of Technology, Coimbatore. Email: [email protected]