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 ...

Abstract: Cassava plant is ... to expedite disease identification. In this project, there are 21,375 images of Cassava plants that will be used to train a disease classification model and we give ...

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 ...

The potential use of Deep Learning techniques, particularly transfer learning, for the detection of plant diseases ... We are proposing a technique to classify plant disease by images of the plants by ...

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 ...