- An intelligent deep augmented model for detection of banana leaves ...🔍
- BananaSqueezeNet🔍
- Bananasqueezenet🔍
- An Improved Agro Deep Learning Model for Detection of Panama ...🔍
- Analysis of banana plant health using machine learning techniques🔍
- Augmented Insights🔍
- Early Detection of Banana Leaf Disease Using Novel Deep ...🔍
- A fully labelled image dataset of banana leaves deficient in nutrients🔍
An intelligent deep augmented model for detection of banana leaves ...
An intelligent deep augmented model for detection of banana leaves ...
The proposed model achieved a remarkable mean accuracy rate of 99.16% for RGB vision, 98.02% for night vision, 96.05% for infrared vision, and ...
An intelligent deep augmented model for detection of banana leaves ...
The PAC model's adaptive nature, real-time learning, minimal memory requirements, and guaranteed convergence during online training improved the ...
An intelligent deep augmented model for detection of banana leaves ...
The model could be helpful for IOT-based drones to identify the large-scale banana leaf disease detection using drones for image acquisition. 2.
An intelligent deep augmented model for detection of banana leaves ...
Research Highlights The model can be helpful for internet of things ‐based drones to identify the large scale of banana leaf‐disease detection ...
An intelligent deep augmented model for detection of banana leaves ...
Abstract：One of the most popular fruits worldwide is the banana. Accurate identification and categorization of banana diseases is essential for maintaining ...
BananaSqueezeNet: A very fast, lightweight convolutional neural ...
This study shows how deep learning and Bayesian optimization can be used to effectively diagnose banana leaf diseases from images without any human ...
Bananasqueezenet: A Very Fast, Lightweight Convolutional Neural ...
An intelligent deep augmented model for detection of banana leaves diseases. · Agricultural and Food Sciences, Computer Science. Microscopy research and ...
An Improved Agro Deep Learning Model for Detection of Panama ...
Recently, Panama wilt disease that attacks banana leaves has caused enormous economic losses to farmers. Early detection of this disease and necessary ...
Analysis of banana plant health using machine learning techniques
CNN was implemented using RGB images of Banana leaf to detect plant diseases. Three models were developed in this study using CNN. The first ...
Augmented Insights: A Qualified Evaluation of Deep Learning ...
Augmented Insights: A Qualified Evaluation of Deep Learning Representations for Enhancing Banana Leaf Spot Disease Detection ... To read the full- ...
Early Detection of Banana Leaf Disease Using Novel Deep ...
The LeNet architecture. Journal of Data Science and Intelligent Systems Vol. 00 Iss. 00 2024. 02. Page 3. deep learning model is used by Mduma ...
A fully labelled image dataset of banana leaves deficient in nutrients
Thus, a fully labelled dataset becomes essential to train and test these models to detect nutrient deficiency accurately. The dataset created consists of banana ...
BananaLSD: A banana leaf images dataset for classification of ...
The BananaLSD dataset contains 937 images of banana leaves collected from banana fields, which were then further augmented to generate another 1600 images. The ...
Mobile-Based Deep Learning Models for Banana Diseases Detection
We used a dataset of 3000 banana leaves images. We pre-trained our model on Resnet152 and Inceptionv3 Convolution Neural Network architectures. The Resnet152 ...
A Convolution Neural Network with Skip Connections (CNNSC ...
A novel CNN model is designed incorporating skip connections to detect micronutrient deficiency in banana leaves namely Boron and Iron.
Deep learning based banana plant detection and counting using ...
In this paper, we propose a deep learning (DL) based method to precisely detect and count banana plants on a farm exclusive of other plants, using high ...
A Transfer Learning-Based Deep Convolutional Neural Network for ...
The CNN model proposed in this paper was able to identify fusarium wilt infected banana leaves with both accuracy and precision. The accuracy of ...
[PDF] Disease Detection in Banana Leaf Plants using DenseNet and ...
The result is that the model using the DenseNet method with an oversampling scheme is superior to other models with a percentage value of 84.73% accuracy, ...
A Transfer Learning-Based Deep Convolutional Neural Network for ...
To evaluate this CNN model, 500 test images, consisting of 250 diseased and healthy banana leaf images, were classified by the model. The deep CNN model was ...
Early Detection of Banana Leaf Disease Using Novel Deep ...
This study's main goal is to put into practice a DCNN that is especially designed to anticipate various illnesses and pest occurrences in banana leaves.