Image Segmentation For Detection and classification Apple Diseases using K-Means and MSVM

Image Segmentation For Detection and classification Apple Diseases using K-Means and MSVM

• By Amin, Ruhul; Saryoko, Andi;
• Seminar Internasional
• 330
• -

Apples are one of the most productive varieties of fruit in the world, with a high nutritional and medicinal value. However, numerous diseases affect apple production on a wide scale, resulting in significant economic losses. These diseases often go overlooked until just before, after, or after fruit has been processed. Many pathogens can be avoided with cultural traditions and (optional) fungicides, even if there are no cures for tainted fruit. However, accurate diagnosis is essential for determining the right management practices and preventing further losses. Apple scab, apple rot, and apple blotch are some of the most prevalent diseases that affect apples. The proposed approach will greatly aid in the automated identification and classification of apple diseases, according to our test results. This study describes a technique for detecting and classifying plant diseases that is both efficient and accurate. The suggested approach is based on K-means clustering and the MSVM method, which are utilized to detect plant disease. The MSVM has a high accuracy and a rapid processing speed.

 

• Katakunci Image Segmentation , K-Means , MSVM
• URL http://-
• Penerbit ,

REFERENSI

 

 

 

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