Klasifikasi Penyakit Tanaman Padi Menggunakan Model Deep Learning Efficientnet B3 dengan Transfer Learning
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 …
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
Penyakit pada tanaman padi merupakan salah satu faktor yang menyebabkan turunnya
tingkat produksi padi. Penyakit tersebut adalah bacterial leaf blight, leaf smut, brown spot …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
characteristics using the original image from previous studies with cropping technique. The …