| Type of Material: | Thesis |
| Title: | Artificial intelligence basedplant disease detection Frame work using efficient feature selection and classification strategy |
| Researcher: | Karthickmanoj, R |
| Guide: | Sasilatha, T |
| Department: | Dept of Electrical and Electronics Engineering |
| Publisher: | AMET University |
| Place: | Kanathur |
| Year: | 2023 |
| Language: | English |
| Subject: | Electrical | Electrical Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Dept of Electrical and Electronics Engineering, AMET University, Kanathur; 2023 |
| Fulltext: | Shodhganga |
| 003 | IN-AhILN | |
| 005 | 2026-09-03 17:03:39 | |
| 008 | __ | 260903t2023||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_462735 |
| 040 | __ | |dIN-AhILN|aAMET_603112 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aKarthickmanoj, R |
| 110 | __ | |aDept of Electrical and Electronics Engineering|0U-0434|dKanathur|bAMET University|ein |
| 245 | __ | |aArtificial intelligence basedplant disease detection Frame work using efficient feature selection and classification strategy |
| 260 | __ | |aKanathur|c2023|bAMET University |
| 300 | __ | |c135P|dDVD |
| 502 | __ | |cDept of Electrical and Electronics Engineering, AMET University, Kanathur|d2023|bPhD |
| 518 | __ | |oDate of Award|d2023 |
| 518 | __ | |oDate of Registration|d2019 |
| 518 | __ | |oDate of Completion|d2023 |
| 650 | __ | |aElectrical Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aElectrical |
| 700 | __ | |aSasilatha, T|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/631202|yShodhganga |
| 905 | __ | |afromsg |
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