Revolutionizing Rice Farming: Automated Identification and Classification of Rice Leaf Blight Disease Using Deep Learning
V Kukreja, R Sharma, S Vats - 2023 Third International …, 2023 - ieeexplore.ieee.org
Rice is considered a fundamental dietary component for a significant portion of the global
population and is regarded as a crucial crop for ensuring food security on a global scale …
population and is regarded as a crucial crop for ensuring food security on a global scale …
[PDF][PDF] Using Pretrained VGG19 Model and Image Segmentation for Rice Leaf Disease Classification.
G Beissenova, A Madiyarova, A Aliyeva… - … Journal of Advanced …, 2024 - saiconference.com
This study explores the application of the VGG19 convolutional neural network (CNN)
model, pre-trained on ImageNet, for the classification of rice crop diseases using image …
model, pre-trained on ImageNet, for the classification of rice crop diseases using image …
KLASIFIKASI PENYAKIT TANAMAN PADI MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) DAN RANDOM FOREST
Penelitian ini bertujuan mengembangkan metode klasifikasi yang efektif untuk
mengidentifikasi penyakit pada tanaman padi, dengan memanfaatkan teknologi …
mengidentifikasi penyakit pada tanaman padi, dengan memanfaatkan teknologi …
Feature Group Extraction for Rice Disease Prediction using VGG-16 Model
B Gohin, CT Dayana, D Elantamilan… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Rice plants have been the focus of significant attention from agricultural specialists.
However., there has not been any comprehensive inquiry into the matter of plant diseases. It …
However., there has not been any comprehensive inquiry into the matter of plant diseases. It …
Determination of Batch Size in Convolutional Neural Networks Applied to Philippine Rice Disease
VPC Magboo, MSA Magboo - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Rice is a paramount stable food in the Philippines requiring sufficient, steady, and affordable
supply. To maintain stable food security for the country, there is a need for an error-free and …
supply. To maintain stable food security for the country, there is a need for an error-free and …
AI and Neural Network-Based Approach for Paddy Disease Identification and Classification
V Sahasranamam, T Ramesh… - … Research Journal of …, 2024 - asianrepo.org
The purpose of this work is to use the artificial intelligence features of the ResNet50
architecture to provide a novel method of paddy disease identification. Farmers face …
architecture to provide a novel method of paddy disease identification. Farmers face …
A novel capsule neural network for identification of rice leaf disease
Y Chen, Q Xiao, H Tang, Q Xie - 2024 - researchsquare.com
A novel network model (RESCapsNet) for identification of rice leaf diseases was proposed
by combining the traditional convolutional neural network and capsule networks. The results …
by combining the traditional convolutional neural network and capsule networks. The results …
[PDF][PDF] DEEP LEARNING BASED MODEL FOR RICE PLANT DISEASE CLASSIFICATION USING YOLOV8
Proper plant diseases classification is important as it helps farmers in providing appropriate
pesticide to the affected area. Rice farmers are facing a lot of challenges in classifying …
pesticide to the affected area. Rice farmers are facing a lot of challenges in classifying …