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Can I read Deep Learning System for Paddy Plant Disease Detection and Classification on EtoBox?
Deep Learning System for Paddy Plant Disease Detection and Classification by Amritha Haridasan; Jeena Thomas; Ebin Deni Raj is a Environmental Science article available to read on EtoBox.
What is Deep Learning System for Paddy Plant Disease Detection and Classification about?
neural networks are used to recognize and classify specific varieties of paddy plant diseases. With ReLU and softmax functions, the suggested deep learningbased strategy attained the highest validation accuracy of 0.9145. Following recognition, a predictive remedy is recommended, which can assist agriculture-related individuals and organizations in taking suitable measures to combat these diseases.
Who reads Deep Learning System for Paddy Plant Disease Detection and Classification?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Amritha Haridasan; Jeena Thomas; Ebin Deni Raj
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Environmental Science (Physical Sciences)
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