ABSTRACT
Deep learning is quickly becoming one of the most important tools for image classification. This technology is beginning to be applied to the tasks of plant disease classification and recognition. This chapter shows that transfer learning model was developed to perform tomato disease detection and diagnosis using simple leaves’ healthy and diseased images. The approach of training transfer learning method on increasingly large and publicly available image datasets presents a clear path toward smart phone-assisted crop disease diagnosis on a massive global scale. Plant diseases can cause significant damage to agriculture crops which decrease the production significantly. Plant disease recognition is very important to crops’ healthy growth, and this in turn affects crop yields and quality. Transfer learning is very popular in the field of machine learning. The conjunction of deep learning and transfer learning, together with the development of Graphics Processing Units has provided a powerful tool for classification and recognition of diseases in plants.
