Smart Agricultural Robot for Spraying Pesticide with Image Processing based Disease Classification Technique

Abstract

The excellent development of crops decides the different parameters like worth, store consumption moreover final money-making profits of farming output. On the other hand, there are important factors that are required for the development of agriculture harvesting, which consist of macronutrients, less important nutrients, micronutrients, as well as pesticides. Conventionally, the checking of all the grain, fruit, vegetables, etc development mostly depends on an individual human verdict and is not well-timed or exact. Maintain regular surveillance over crop is an important facet of precision agriculture that uses facts at various crop growth phases. This paper presents an automatic disease classification and pesticide controller based on an Image Processing (IP) technique. Having precise information about the disease for classification and to spray pesticides is very much supportive in enhancing the production efficiency. Compared with manual processes, the proposed automatic disease classification and pesticide controller system can identify the disease in crops and can present a consistent and precise basis for suitable regulation.