Integrating Deep Learning and Ensemble Methods for Robust Tomato Disease Detection: A Hybrid CNN-RF Model Analysis
P Chaudhary, A Verma, V Kukreja… - 2024 11th International …, 2024 - ieeexplore.ieee.org
The timely and accurate diagnosis of plant diseases is what determines the efficiency of
farming and food security in the world. In the situation of tomato cultivation, diseases like …
farming and food security in the world. In the situation of tomato cultivation, diseases like …
Pre-trained VGG16 and EfficientNetB3 for Multiclass Classification of Orange Leaf Diseases
Identifying orange leaf disease is very important to make sure that citrus fruit farms are
healthy and produce a lot of fruits. In this research, we used two different deep-learning …
healthy and produce a lot of fruits. In this research, we used two different deep-learning …
An Efficient Deep Learning-based VGG19 Approach for Rice Leaf Disease Classification
As the staple crop and commodity par excellence, rice deserves close scrutiny throughout its
lifetime from production through consumption. This is especially true in countries like India. A …
lifetime from production through consumption. This is especially true in countries like India. A …
Multi-class Classification of Coconut Leaf Disease using Fine-tuned ResNet50 Model
Coconuts are an important staple crop and vital commodity in Southeast Asia. There are
various diseases causing coconut tree health degradation including leaflets, CCI caterpillars …
various diseases causing coconut tree health degradation including leaflets, CCI caterpillars …
Enhancing Agricultural Precision: A Hybrid CNN-SVM Approach for Multidimensional Weed Disease Classification
D Upadhyay, M Manwal, P Deep… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
A new category of weed disease classification in precision agriculture based on a hybrid
model using convolutional neural networks (CNN) and support vector machine (SVM) has …
model using convolutional neural networks (CNN) and support vector machine (SVM) has …