Morphological Segmentation based Image Processing Approaches for Agro IoT System for Crop Production

IoT along with Image segmentation is applied in a variety of applications separately. This character of application in agriculture field is still existing and attained positive approaches in success, though the combinations of these tools are unreal. This paper illustrates a methodology for combining IoT along with image segmentation for resolving the ecological factor as well as man-made factor (pesticides/fertilizers). Here a variety of sensing devices which is used for measuring the vital environmental factors and growth of plant is captured and segmented using morphological segmentation to the leaf lattice which is evaluated with the help of histogram analysis.