Modeling the Detection and Classification of Tomato Leaf Diseases Using a Robust Deep Learning Framework
M Gupta, D Yadav, SS Khan, AK Kumawat… - Traitement du …, 2024 - search.proquest.com
Tomatoes are a noteworthy horticultural crop that has considerable importance in a diverse
range of culinary traditions. At now, the primary concern for food security is in the realm of …
range of culinary traditions. At now, the primary concern for food security is in the realm of …
Skill‐Honey Badger Optimisation Algorithm‐Enabled Deep Convolutional Neural Network for Multiclass Leaf Disease Detection in Tomato Plant
In today's life, agriculture holds considerable importance in human life and the economy of a
nation. Agriculture, including tomato farming, plays a vital role as one of the most extensively …
nation. Agriculture, including tomato farming, plays a vital role as one of the most extensively …
DeepCitrus: Leveraging Integrated CNN and VGG16 for Automated Orange Leaf Disease Detection
Citrus cultivation is confronted with significant risks posed by a multitude of diseases, which
demand novel methodologies to ensure prompt and precise detection. The current research …
demand novel methodologies to ensure prompt and precise detection. The current research …
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 …
Multiclass Classification of Tomato Leaf Diseases using a Hybrid of LSTM and CNN Model
Identifying diseases on tomato leaves is very important as tomatoes contain a rich amount of
vitamins and other essential compounds for the human body. It helps keep crops healthy …
vitamins and other essential compounds for the human body. It helps keep crops healthy …
Bean Leaf Lesions Image Classification: A Robust Ensemble Deep Learning Approach
RG Tiwari, A Kumar - 2024 ASU International Conference in …, 2024 - ieeexplore.ieee.org
Growing beans is important since they are a staple meal for so many people throughout the
world. Bean rust and angular leaf spot are just two of the many diseases that threaten the …
world. Bean rust and angular leaf spot are just two of the many diseases that threaten the …
Hybridizing Convolutional Neural Networks and Support Vector Machines for Mango Ripeness Classification
RG Tiwari, AK Rai - 2024 ASU International Conference in …, 2024 - ieeexplore.ieee.org
This research aims to identify the maturity of mangoes by proposing a hybrid approach that
combines a convolutional neural network (CNN) and support vector machine (SVM). Sorting …
combines a convolutional neural network (CNN) and support vector machine (SVM). Sorting …
MedLeafNet: A Feature Fusion Network Integrating Transformer and CNN Modules for Indian Medical Leaf Classification
A new feature fusion network called “MedLeafNet” is presented in this study specifically for
the categorization of Indian medicinal leaves. Using a hybrid architecture, MedLeafNet …
the categorization of Indian medicinal leaves. Using a hybrid architecture, MedLeafNet …
A Sophisticated Deep Convolutional Neural Network for Multiple Classification of Apple Leaf Diseases
The identification of crop diseases that is automated is critical because it simplifies the labor-
intensive chore of supervising large farms while also identifying illnesses in the beginning …
intensive chore of supervising large farms while also identifying illnesses in the beginning …
Leveraging the CNN Approach for Predicting Severity Levels of Bacterial Wilt Disease in Potato Leaves
The purpose of this research is to find a solution to the problem of accurate and rapid illness
assessment by developing an automated classification system that makes use of cutting …
assessment by developing an automated classification system that makes use of cutting …