Identification of Various Diseases in Guava Fruit using Spiral Optimization (SPO) Technique

Authors

  • Saravanan Alagarsamy
  • Vishnuvarthanan Govindaraj
  • Kumarasamy Meenakumari
  • Kumaran Priyadhara

Abstract

Now a days, farmers are finding difficulty to identify the fruits affected by various diseases. Especially, affected fruits from diseases results in huge loss of revenue to the farmers and the nation. Anthracnose disease affects all the parts of plants during the growth stage like leaves, stems and fruits. In this paper, spiral optimization (SPO) algorithm is used to segment normal and anthracnose affected guava fruit. Optimal cluster position is determined using SPO technique and the clustering process is done to predict the normal and anthracnose affected guava fruit. Manual segmentation process requires more time to find out and sometimes leads to error and may cause huge loss for the farmers. The proposed automated spiral optimization (SPO) technique requires less time to segment the normal and affected fruits. This process help the farmers to predict the diseases in the early stage and quality of crop production yield can be improved.

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Published

2020-04-11

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Section

Articles