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KLASIFIKASI HAMA DAN PENYAKIT PADA TANAMAN JAGUNG MENGGUNAKAN METODE NAÏVE BAYES DAN CONVOLUTIONAL NEURAL NETWORK MODEL RESNET50

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Corn is one of the economically valuable crops and has the opportunity to be developed because it is one of the main sources of carbohydrates and protein after rice as well as a source of feed. Pests and diseases are very destructive about one-fifth of all crop production worldwide, at least about 10% of food production in the world crop failure is caused by plant diseases. This research uses nave Bayes method and convolutional neural network. The data used in the form of image data as much as 761 data which is divided into 6 classes. The nave Bayes method uses features extracted from image data with features taken are greyscale, edge detection, and RGB (red, green, blue). Meanwhile, the convolutional neural network uses the Resnet50 architectural model for the classification process.

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Detail Information

Series Title

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Call Number

T705862022

Publisher

Inderalaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2022

Collation

xi, 49 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

519.507

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Matematika
Matematika Statistikal

Specific Detail Info

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Statement of Responsibility

SEPTA

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