| Reference Type | Journal (article/letter/editorial) |
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| Title | A Design Approach for Identifying, Diagnosing and Controlling Soybean Diseases using CNN Based Computer Vision of the Leaves for Optimizing the Production |
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| Journal | IOP Conference Series: Materials Science and Engineering |
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| Authors | Kamal, Raj | Author |
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| Tiwari, Sadhna | Author |
| Kolhe, Savita | Author |
| Deshpande, Manojkumar Vilasrao | Author |
| Year | 2021 (March 1) | Volume | 1099 |
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| Issue | 1 |
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| Publisher | IOP Publishing |
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| DOI | doi:10.1088/1757-899x/1099/1/012037Search in ResearchGate |
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| Generate Citation Formats |
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| Mindat Ref. ID | 13309940 | Long-form Identifier | mindat:1:5:13309940:1 |
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| GUID | 0 |
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| Full Reference | Kamal, Raj, Tiwari, Sadhna, Kolhe, Savita, Deshpande, Manojkumar Vilasrao (2021) A Design Approach for Identifying, Diagnosing and Controlling Soybean Diseases using CNN Based Computer Vision of the Leaves for Optimizing the Production. IOP Conference Series: Materials Science and Engineering, 1099 (1) 12037pp. doi:10.1088/1757-899x/1099/1/012037 |
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| Plain Text | Kamal, Raj, Tiwari, Sadhna, Kolhe, Savita, Deshpande, Manojkumar Vilasrao (2021) A Design Approach for Identifying, Diagnosing and Controlling Soybean Diseases using CNN Based Computer Vision of the Leaves for Optimizing the Production. IOP Conference Series: Materials Science and Engineering, 1099 (1) 12037pp. doi:10.1088/1757-899x/1099/1/012037 |
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| In | (2021, March) IOP Conference Series: Materials Science and Engineering Vol. 1099 (1) IOP Publishing |
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