The model was compiled using the Adam ... every aspect of the project. From data preprocessing to building and fine-tuning the deep learning model, each of us brought unique strengths to create a ...

The model utilizes a custom dataset composed of various images of plant leaves. Each image is labeled to indicate the plant species and the corresponding disease. These images are used to train and ...

In recent times, the field of plant disease detection has been profoundly transformed by the implementation of deep learning ... a residual skip connection block and a squeeze and excitation block (SE ...

Crop disease detection and classification has traditionally relied on a variety of Machine Learning (ML) models, and developments in a type of ML called Deep Learning ... will be developed using the ...

Crop diseases are a major threat ... in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of 54,306 images of diseased ...