Abstract

Now a day’s plant diseases discovery has received increasing attention in looking at greatly sized field of the years produce. In this paper we need of simple plant Leaf’s disease discovery system that would help moves-forward in farming. Early information on the years produce being healthy and disease discovery can help the control of diseases through right business manager’s designs. This paper also makes a comparison the benefits and limiting conditions of these possible and unused quality ways of doing. It includes several steps viz. image acquisition, image pre- processing, features extraction and minimum distance classifiers. Plants become an important source of energy and only a primary source to the problem of global warming. The damage caused by emerging, re-emerging and endemic pathogens, is important in plant systems and leads to potential loss economically. In addition, crop diseases contribute directly and indirectly to the spread of human infectious diseases and environmental damage. As these diseases are spreading worldwide causing damage to the normal functioning of the plant and also damaging the financial condition by significantly reducing the quantity of crops grown. The crop production losses its quality dueto much type diseases and sometimes they occur but are even not visible with naked eyes.In this paper, we havedone survey on different digital image processing techniques to detect the plant diseases. To detect these plant diseases many fast techniques, need to be adopt. In this paper, we use SVM to detect these diseases. And provide the fertilizer necessary to cure them.

Key words: Global Warming, Crop Diseases, Digital Image Processing, Support Vector Machine