A Computer Vision Based Comparative Analysis of Dual Nutrients (Boron, Calcium) Deficiency Detection System for Apple Fruit

All the nutrients are necessary for any fruit for its full development and growth. But, due to some causes like-dry soils, waterlogging and other natural calamity factors can lead to deficiency disorder. So, there must be a system that could detect such deficiency and help in reducing manual intervention of detection and inspection. Hence, a different approach has been introduced in this paper depicting an application-based computer vision tool that deals with a comparative analysis of dual nutrient (Boron, Calcium) deficiency detection system for apply fruit. In order to provide an attractive communication between a user and program, a GUI (Graphical User Interface) has been modeled which has been executed with the help of MATLAB. The methodology of this paper mainly provides the user to detect the deficiency present in a fruit, that helps the user to discover the various use of image processing technique altogether and also decide the selective measures over the detected deficiency. The results show a very satisfactory performance of this tool and hence considered to be a flexible and robust technique by intuitive usage.