A novel approach for the prediction of the cotton disease using machine learning

By: Material type: TextTextPublication details: Lahore 2020 Riphah International University Description: x, 59 p. : ill. ; 30 cm. +CDSubject(s): DDC classification:
  • 004 SAL
Dissertation note: Thesis (MS)--Riphah International University, 2020
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Item type Current library Call number Status Date due Barcode
Thesis Thesis Lahore Raiwind Campus 004 SAL (Browse shelf(Opens below)) In transit from Al-Mizan Campus to Lahore Raiwind Campus since 06/12/2024 Not for loan 59398

Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science at Faculty of Computing.

Includes bibliographic references.

Thesis Supervisor: Dr. Muhammad Tahir Naseem

Thesis (MS)--Riphah International University, 2020

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