Klasifikasi Penyakit Tanaman Padi Menggunakan Model Deep Learning Efficientnet B3 dengan Transfer Learning

E Anggiratih, S Siswanti, SK Octaviani, A Sari - Jurnal Ilmiah SINUS, 2021 - p3m.sinus.ac.id
The level of rice productivity is influenced by several inhibiting factors, for example disease
attack in rice plants. The slow and inappropriate treatment of rice plant can make the crop …

Implementasi Gray Level Co-Occurrence Matrix (Glcm) Untuk Klasifikasi Penyakit Daun Padi

AA Huda, B Setiaji, FR Hidayat - pseudocode, 2022 - ejournal.unib.ac.id
Penyakit pada tanaman padi merupakan salah satu faktor yang menyebabkan turunnya
tingkat produksi padi. Penyakit tersebut adalah bacterial leaf blight, leaf smut, brown spot …

Comparison ADAM-optimizer and SGDM for Classification Images of Rice Leaf Disease

PH Saputro, DP Wijaya, MG Pradana… - 2022 International …, 2022 - ieeexplore.ieee.org
One of the most important sectors related to the food security of a country is the agricultural
sector. Considering rice plants are currently the largest commodity, the amount of rice …

Detecting Diseases on Clove Leaves Using GLCM and Clustering K-Means

M Jumarlis - Jurnal RESTI (Rekayasa Sistem dan Teknologi …, 2022 - jurnal.iaii.or.id
The detection of disease in clove plant leaves is generally carried out by diagnosing the
symptoms that appear on clove plants. This diagnosis is conducted by clove farmers only by …

Deteksi Penyakit Pada Daun Padi Berbasis Pengolahan Citra Menggunakan Metode Convolutional Neural Network (CNN)

S Sheila, IP Sari, AB Saputra, MK Anwar… - MULTINETICS, 2023 - jurnal.pnj.ac.id
Rice, produced by rice plants, is a staple food for the people of Asia, especially Indonesia.
The amount of rice consumption is increasing along with the increase in population …

A systematic literature review of gray level co-occurence matrix on plants

A Sadad, E Utami, AD Hartanto - Journal of Intelligent …, 2023 - idss.iocspublisher.org
Abstract The Gray Level Co-Occurrence Matrix method includes contrast, correlation, energy
and homogeneity then is processed using an artificial neural network method for its …

Penerapan Metode JST Menggunakan Fitur GLCM pada Identifikasi Penyakit Tumbuhan Stroberi

IP Wardaya, A Hermawan - Jutisi: Jurnal Ilmiah Teknik …, 2023 - ojs.stmik-banjarbaru.ac.id
In recent years, strawberry farmers have experienced crop failures caused by diseases in
strawberry plants. The lack of knowledge of strawberry farmers about the signs of strawberry …

Klasifikasi Monkeypox Menggunakan Ekstraksi Fitur GLCM dan Algoritma Random Forest

W Wijaya, MR Pribadi, EP Widiyanto - MDP Student Conference, 2023 - jurnal.mdp.ac.id
Monkeypox adalah penyakit yang pertama kali ditemukan pada tahun 1958 di Denmark
ketika ada dua kasus seperti cacar pada koloni kera yang dipelihara untuk penelitian …

[PDF][PDF] Analisis Perbandingan Hasil Pengolahan Citra Asli Dan Cropping dalam Identifikasi Karakteristik Tanaman Selada

A Fadjeri, L Kurniatin, DKA Ariyanto… - Jurnal Ilmiah Sinus (JIS) …, 2023 - academia.edu
The purpose of this study is to determine the results of a comparison of lettuce plant
characteristics using the original image from previous studies with cropping technique. The …