Plant Disease Detection Using Image Processing

 Introduction:

  The agricultural landmass is more than just being feeding sourcing in today’s world. Indian economy is highly dependent on agricultural productivity. Therefore in the field of agriculture, detection of disease in plants plays an important role. To detect a plant disease in the very initial stage, the use of an automatic disease detection technique is beneficial.

   The existing method for plant disease detection is simply naked eye observation by experts through which identification and detection of plant diseases are done. For doing so, a large team of experts as well as continuous monitoring of plant is required, which costs very high when we do with large farms. At the same time, in some countries, farmers do not have proper facilities or even ideas that they can contact experts. Due to which consulting experts even cost high as well as time-consuming too. In such conditions, the suggested technique proves to be beneficial in monitoring large fields of crops. Automatic detection of the diseases by just seeing the symptoms on the plant leaves makes it easier as well as cheaper.
                                                                             

    Plant disease identification by the visual way is a more laborious task and at the same time, less accurate and can be done only in limited areas. Whereas if automatic detection technique is used it will take fewer efforts, less time, and become more accurate. In plants, some general diseases seen are brown and yellow spots, early and late scorch, and others are fungal, viral, and bacterial diseases. Image processing is used for measuring an affected area of disease and to determine the difference in the color of the affected area.

Abstract:

  Agricultural productivity is something on which the economy highly depends. This is one of the reasons that disease detection in plants plays an important role in the agriculture field, as having the disease in plants is quite natural.  It also covers surveys on different disease classification techniques that can be used for plant leaf disease detection.   

   A color-based segmentation model is defined to segment the infected region placing it to its relevant classes.

  Disease detection involves steps like image acquisition, image preprocessing, image segmentation, features extraction, and classification. 

 i) Recognizing infected leaves and stem. 

ii) Measure the affected area. 

iii) Finding the shape of the infected region. 

iv) Determine the color of the infected region. 

v) And also influence the size and shape of the leaf