The application of digital image processing in the evaluation of agricultural experiments

Abstract

The joint application of digital image processing can open new possibilities in the evaluation of agricultural experiments. We in their lecture are giving a short summary about certain processes carried out in the following branches: measuring of leaf surface and structural changes caused by pest, measuring of the phytotoxic effects of herbicides, separation and measuring of diseased and healthy plant parts, histological and pathological examination of potato tubers, recognition of phytopathogenic fungi with computer. With the help of images about plants we can measure them in their natural environment without mutilation. We can measure the scale of damage done by pets and pesticides. Image processing can be used for the identification of various fungi with algorithms making shape recognition possible. Image processing systems make the evaluation of indistinguishable changes possible. By determining intensity values the scale of changes will be numerical and later on they can be evaluated by the traditional mathematical statistical methods. In order to discover the reasons of changes or to stop the causes it can be important to examine their dynamics on one plant.