Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases
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 …
The evaluation parameters of a system of classification for identifying ten kinds of tomato …
Development of Efficient CNN model for Tomato crop disease identification
Tomato is an important vegetable crop cultivated worldwide coming next only to potato.
However, the crop can be damaged due to various diseases. It is important for the farmer to …
However, the crop can be damaged due to various diseases. It is important for the farmer to …
Tomconv: An improved cnn model for diagnosis of diseases in tomato plant leaves
P Baser, JR Saini, K Kotecha - Procedia Computer Science, 2023 - Elsevier
Crop disease in the plant is a significant issue in the agriculture sector, and it is currently
very difficult to detect these illnesses in crop leaves. The foundation of the global economy is …
very difficult to detect these illnesses in crop leaves. The foundation of the global economy is …
An efficient hybrid CNN classification model for tomato crop disease
Tomato plants are vulnerable to a broad number of diseases, each of which has the
potential to cause significant damage. Diseases that affect crops substantially negatively …
potential to cause significant damage. Diseases that affect crops substantially negatively …
Deep convolutional neural network approach for tomato leaf disease classification
Plant disease detection and classification are required to identify the early symptoms of
disease in plants and crops to avoid their mitigation to entire croplands. Deep learning is …
disease in plants and crops to avoid their mitigation to entire croplands. Deep learning is …
Hyperparameter-Tuned CNN for the Classification of Ten Tomato Plant Diseases
YY Chua, LP Lin - … on Electronic and Electrical Engineering and …, 2022 - ieeexplore.ieee.org
Tomato plant diseases caused by microorganisms such as fungus, bacterial etc. have been
threatening the quality and quantity of tomato production for a few centuries. Therefore …
threatening the quality and quantity of tomato production for a few centuries. Therefore …
Tomato Leaf Disease Detection Using Deep Learning: A CNN Approach
N Balakrishna, G Sunitha, A Karthik… - … Conference on Data …, 2022 - ieeexplore.ieee.org
The world's population relies on plants as a source of food; hence they play a significant
role. When a plant's normal structure, growth, function, or other activities are consistently …
role. When a plant's normal structure, growth, function, or other activities are consistently …
Tomato plant leaf diseases detection and classification using an advanced self-developed CNN model
S Samal, V Verma - Multimedia Tools and Applications, 2024 - Springer
Better disease detection and classification for tomato leaves at early sage provide finest
productivity results. It is a natural occurrence for tomato plants to get sick, and if the …
productivity results. It is a natural occurrence for tomato plants to get sick, and if the …
A novel hybrid CNN methodology for automated leaf disease detection and classification
Plant leaf diseases are challenging to categorize due to the complexity of the pattern
variations and the high degrees of inter‐class similarity. Plant ailments harm food quality …
variations and the high degrees of inter‐class similarity. Plant ailments harm food quality …
AI Based Potato and Tomato Leaf Disease Detection Using CNN and Pre-Trained Model
Y Mori, B Limbasia, RK Gupta… - 2023 7th International …, 2023 - ieeexplore.ieee.org
The Potato and Tomato is cultivated worldwide and ranks as the fourth largest food crop.
Since fungi are the primary cause of potato crop infection, both early and late blight …
Since fungi are the primary cause of potato crop infection, both early and late blight …