Automation in plant growth monitoring using high-precision image classification and virtual height measurement techniques

Abstract

Agriculture is the backbone of our Indian economy and almost 80 percentage of our population depend on it, but it is becoming a strenuous practice due to irregular weather pattern and over usage of underground water. So there is a need for automatic monitoring and advisory system for increase in productivity. Image processing is a powerful technique that has now been widely used in various fields for solving complex problems and its application in the field of agriculture has been proved a useful contribution. Thus the proposed work aims at extracting plant color or texture using image processing technique and the resultant image is subjected to virtual height measurement scheme. Then plant height is verified for normal growth in comparison with the plant growth chart. If plant growth is not well, an advisory system may be created which can alert the user.