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- W1167082922 abstract "image processing is having its significance to classify the agricultural objects as well as to identify the disease. These diseases are specific to the agricultural object or generic in nature. In this paper, an effective way is defined to identify the leaf disease over the plants. The work is here defined based on moment based analysis defined under clustering improved neural network approach. The work is here improved as a layered clustered and classification approach. In first stage, the identification of disease ROI is done. This identification is done using the CMeans Clustering Approach. Once the disease ROI is identified, the next work is to perform neural network approach for disease identification. The obtained results shows the effective recognition of disease area over the leaf images. KeywordsDisease, ROI, Neural Network" @default.
- W1167082922 created "2016-06-24" @default.
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- W1167082922 date "2015-06-18" @default.
- W1167082922 modified "2023-09-29" @default.
- W1167082922 title "A Clustering Adaptive Neural Network Approach for Leaf Disease Identification" @default.
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- W1167082922 doi "https://doi.org/10.5120/21274-4104" @default.
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