Image of DETEKSI HASIL TANAMAN MELALUI CITRA THERMAL MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)

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DETEKSI HASIL TANAMAN MELALUI CITRA THERMAL MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)

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Turmeric (Curcuma longa) is one of the most important spices which is believed to have originated from India. In computer vision, there are several problems including object detection and image classification with thermal imaging techniques, which are invasive methods that are increasingly being studied for quality evaluation of agricultural and food products. In this study, discussing a plant yield by looking at the color of the plant using a Thermal camera to get an image of turmeric, by heating the plants at the same time. In this study also used the ROI (Region Of Interest) and CNN (Convolutional Neural Network) methods with the final results obtained on the detection of Turmeric Image using a Thermal Camera divided into 3 times. 1 day turmeric image 34.5c, 4 day turmeric image 32.5c and Image of turmeric 7 days 31.8c by getting the value of training results using the CNN (Convolutional Neural Network) method on Image Turmeric 1 with a value of 75.72% Through the training process by getting the results of the model and label, then the model is tested or predicted, the results of turmeric 1 : 75.72%, turmeric 4: 23.92% and turmeric 7: 0.37% So the biggest value is turmeric 1, so the image comes out and the value of turmeric1: 75.72%.

Availability
Inventory Code Barcode Call Number Location Status
2007002028T40532T405322020Central Library (REFERENSI)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T405322020
Publisher
Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya.,
Collation
xvi, 54 hlm.; ilus., tab.: 28 cm
Language
Indonesia
ISBN/ISSN
-
Classification
003.7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Sistem komputer
Ilmu Komputer
Specific Detail Info
-
Statement of Responsibility
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No other version available

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