Recognizing Rice Leaves Disorders by Applying Deep Learning

Rice is one of the staple crops in the world, as it is a rich source of protein, minerals, fibre, and vitamins. It is cultivated almost in every part of the world, but its productivity decreases due to several diseases. If these diseases are identified at the initial stages, then preventive measures can be taken, but their symptoms are quite similar for human eyes to recognize them correctly. Therefore, there is an immense need to apply automated techniques for recognizing rice diseases. Various Artificial Intelligence (AI) based prototypes have been surveyed in this chapter. These techniques were proposed by researchers for diagnosing rice disease. Here, our main goal is to present ideas on how Pretrained Neural Networks can be used in the recognition of rice diseases. Therefore, a brief description of AI techniques and their comparison is also outlined.