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- W4320802011 abstract "Cassava has been a prime source contributing to carbohydrate-rich food in many tropical developing nations. A kind of wreaking ailments in the form of diseases like cassava mosaic disease and cassava brown streak can cause major level economical damages. Early diagnosis of these leaf-infecting diseases can prevent such losses. The modeling of an automatic disease classifier can be a savior for farmers in handling the spread of leaf diseases. A novel approach to detection has been employed to the convolutional neural network to detect and classify the disease. The dataset is collected from a variety of standard online repositories. The performance of CNN is evaluated in terms of accuracy achieved is 84.3% in the classification process." @default.
- W4320802011 created "2023-02-15" @default.
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- W4320802011 date "2022-10-25" @default.
- W4320802011 modified "2023-09-26" @default.
- W4320802011 title "Deep Learning Based Method To Detect Diseases In Leaves Of Cassava Plant" @default.
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- W4320802011 doi "https://doi.org/10.1109/icdabi56818.2022.10041484" @default.
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