Quantification of Different Factors for Assessment of Foliar Diseses Through Image Processing
Agriculture is the primary source of food for the entire humanity. Diseases on crop plants play a significant role in
degrading the quality of food products. So, detection of plant ailment is essential to increase the productivity as well as to
minimize the crop yield losses too. Image processing techniques have vast applications in the field of agriculture. It leads to
early detection and classification of various foliar diseases of plants. This method is more reliable, accurate and less time
consuming as compared to visual analysis. Image acquisition is the first step in image processing. So, the main focus of our
work is to elaborate the factors that are taken as a precautionary while capturing images along with the camera
specifications. Different environmental factors are also considered in the present study that affects the assessment of foliar
diseases through image processing with the limitation of the work.
Keywords: Relative humidity; Temperature; Camera specifications; Foliar diseases; Shadow; Angle.