International Journal of Swarm Intelligence and Evolutionary Computation

Department of Computer Science and Engineering, Indian Institute of Information Technology Bhagalpur, Bihar, India

Publications

• Research Article   
  Detection of Diseases in Rice Plant Using Optimized AdaBoost Classifier
  Author(s): Ratnesh Kumar Dubey* and Dilip Kumar Choubey
  
  This research uses optimized AdaBoost to propose a dependable paddy plant leaf disease detection method. Preprocessing, feature extraction, classification and segmentation are the four processes that the study addresses. First, a red, green and blue format is applied to the input picture. The green band has a vivid foliage component set against a backdrop with strong contrast. During the preprocessing stage, the green band is allocated to the noise reduction procedure. A median filter is used to eliminate any noise that may have been caught in the picture. Next, utilizing the texture and color histogram characteristics, significant features of the green band are retrieved. The process of extracting texture characteristics involves taking a look at each picture and determining its GLCM texture features. This includes features like autocorrelation, contract, correlation, cluster promine.. View more»
  

  DOI: 10.35248/2090-4908.25.14.429

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