Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases

D Banerjee, V Kukreja, S Hariharan… - … World Conference on …, 2023 - ieeexplore.ieee.org
For crops to be of high quality and yield, plant diseases must be identified and managed.
The evaluation parameters of a system of classification for identifying ten kinds of tomato …

Deep Learning Model Based on VGG16 for Tomato Leaf Diseases Detection and Categorization

A Sofiane, B Mostefa, B Soumia - 2024 2nd International …, 2024 - ieeexplore.ieee.org
In the majority of agricultural countries, farmers suffer significant losses each year due to
diseases in crops and plant infections, this issue puts global food security at risk and famine …

Disease Detection in Tropical Tomato Leaves via Machine Learning Models

B Kommey, E Tamakloe, D Opoku… - Jurnal ELTIKOM …, 2024 - eltikom.poliban.ac.id
This study addresses the significant threat of tomato diseases to production in Ghana, which
has led to substantial yield and quality losses, adversely affecting the livelihoods of local …

Tomato Leaf Disease Detection and Classification Using Deep Learning

S Abden, M Bendjima, S Benkrama - International Conference on Artificial …, 2023 - Springer
The biggest issue affecting food security is plant infections and diseases. As a result, one of
the most important steps in the prevention and management of disease crop is the early …

Proposed Deep Learning Approach for Plant Diseases Detection

A Sofiane, B Mostefa, B Soumia… - … on Embedded & …, 2024 - ieeexplore.ieee.org
Farmers in most agricultural countries usually experience high annual losses due to crop
diseases and plant infections, which threatens global food security and worsens the famine …

Advancing Tomato Crop Health: A CNN Approach to Leaf Disease Detection

G Verma - 2024 8th International Conference on Electronics …, 2024 - ieeexplore.ieee.org
One of the most grown crops worldwide, tomato plants are quite vulnerable to many leaf
diseases that could seriously lower quality and productivity. Effective control and reduction …

[PDF][PDF] Visualizing and Understanding the Customized Convolutional Neural Networks to Identify Hand Written Odia Characters and its Pattern Using Generative AI

R Panda, S Dash, S Padhy, SW Khandakhani - 2024 - researchgate.net
Character recognition is one of the on the field of deep learning. In the field of pattern
matching and pattern recognition research based on deep learning model like ResNet and …

and Classification Using Deep Learning

SAM Bendjima, S Benkrama - … of Renewable Energy Systems and Micro … - books.google.com
The biggest issue affecting food security is plant infections and diseases. As a result, one of
the most important steps in the prevention and man-agement of disease crop is the early …