Introduction: Rice crops are one of the main source of food for human being. According to data, population of the world increasing over the past decades. Due to continuous increase in population,need of rice is also increases. Rice plant diseases is one of the important factor in the production of rice. As the rice plant disease increase in the paddy, the production of rice decreases.Rice plant diseases are considered as a raising factor behind the agricultural, economic and communal loss in the upcoming development of the agricultural field.
Problem :In order to increase the production of rice, we have to keep each rice plant in the paddy healthy. In order to do diagnosis of rice plant diseases, there are various traditional methods but this method need experts and continuous observation. Hence the traditional methods are very costly and time consuming. Finding: To solve the above problem(Problem of diagnosis of rice plant disease) many researcher used the image processing,machine learning,deep learning,Internet of thing techniques.
In this paper, we have considered the brief review on the image processing,machine learning,deep learning,Internet of thing techniques which are useful for the diagnosis of rice plant disease.