Benchmarking the LGBM, Random Forest, and XGBoost Models Based on Accuracy in Classifying Melon Leaf Disease

C Rozikin, A Buono, S Wahjuni… - International Journal of …, 2023 - search.proquest.com
Leaf diseases in melon plants cause losses for melon farmers. However, melon plants
become less productive or even die. Downy mildew is a foliar disease that spreads rapidly in …

CNN Method to Identify the Banana Plant Diseases based on Banana Leaf Images by Giving Models of ResNet50 and VGG-19

IR Syihad, M Rizal, Z Sari, Y Azhar - Jurnal RESTI (Rekayasa …, 2023 - jurnal.iaii.or.id
Identify banana plant diseases using machine learning with the CNN method to make it
easier to identify diseases in banana plants through leaf images. It employs the CNN …

[PDF][PDF] Utilizing UAV Data for Neural Network-based Classification of Melon Leaf Diseases in Smart Agriculture.

SNA Mohd Robi, N Ahmad… - International …, 2024 - pdfs.semanticscholar.org
Integrating unmanned aerial vehicle (UAV) technology with plant disease detection is a
significant advancement in agricultural surveillance, marking the beginning of a …

Prediksi Malaria Menggunakan Metode Pre-Trained Model Algoritma EfficientNet-B0 dan MobileNet-V2

A Eryana - Jurnal Ilmiah Komputasi, 2023 - ejournal.jak-stik.ac.id
Malaria merupakan penyakit mematikan yang penularannya terjadi melalui gigitan nyamuk
Plasmodium. Berdasarkan laporan WHO tahun 2021 di Asia Tenggara angka kematian …

[引用][C] PREDIKSI PENYAKIT MALARIA MENGGUNAKAN PRE-TRAINED MODEL ALGORITMA DENSE CONVOLUTIONAL NETWORK (DENSENET)

A Eryana, S Sriyanto, N Nursiyanto - IndraTech, 2022 - ojs.stmikindragiri.ac.id
Malaria merupakan penyakit mematikan yang penularannya terjadi melalui gigitan nyamuk
Plasmodium. Berdasarkan laporan WHO tahun 2021 di Asia Tenggara angka kematian …