ARTTE Applied Researches in Technics, Technologies and Education Journal of the Faculty of Technics and Technologies, Trakia University https://sites.google.com/a/trakia-uni.bg/artte/ ARTTE Vol. 6, No. 3, 2018 ISSN 1314-8788 (print), ISSN 1314-8796 (online), doi: 10.15547/artte.2018.03.002 213 ANALYSIS OF MODELS AND ALGORITHMS FOR MEASURING THE AREA OF VINE LEAVES Krasimira Georgieva, Miglena Kazakova, Zlatin Zlatev Faculty of Technics and Technologies, Trakia University, Bulgaria Graf Ignatiev 38, 8600 Yambol, Bulgaria, e-mail: zlatin.zlatev@trakia-uni.bg Abstract: The area of the vine leaves is an important indicator for determining the quantity of leaf mass, making connections with the influence of the environment, improving the methods of growing the vineyards. Satellite and aviation measurements for now have the drawback that the images obtained are of low resolution and do not allow the measurement of the area of individual leaf. A solution to this problem is the use of unmanned aerial vehicles, which provide digital images of a small height (1-3 m) and autonomous robots to navigate in the vineyards. These systems use video cameras operating in the visible, near infrared range and thermo cameras. The measurement of individual leaves and the search for links to the foliage and plant indicators is due to the fact that in order to do this when crawling the array, it is necessary to use low energy consumption devices. These devices also have poor computing resources. In this report a comparative analysis of 16 models describing the relationship between the area and the main dimensions of the leaf - long and short axis is made. Three of these models have been selected to describe this relationship with sufficient precision. They are compared with the 4 algorithm for measuring the area of the vine leaves. The results obtained show that the measurement error, the data processing time between the algorithms used and the models are comparable. The analyzes made suggest that the choice of a method for measuring the area of vine leaves depends on the desired accuracy, the time of receipt, the processing and the analysis of the results of what equipment the user has access to. Keywords: Agricultural modeling, Area measurement, Vine leaves, Algorithm and models. 1. INTRODUCTION Measurement of the area of vine leaves is a critical point in research aimed at managing irrigation, determining the impact of climate and slope environment, management systems in livestock breeding, looking for links between growing methods and plant development and their effectiveness. In the classical methods for determining the area of the vine leaves, a correlation between the weight of fresh or dry leaves with their area is used. This method is destructive because the measured leaves have to be cut off. This method is applicable after harvest. Measurement of the area of individual leaves is an indicator used to determine the leaf index. Determining the area of individual vine leaves with remote measurement methods is a topical issue that has partial solutions. Methods such as LIDAR, satellite and aviation measurements have the disadvantage that the resulting images are of low resolution and are applicable to determining the parameters of the entire area planted with vines. Methods for measuring area of vine leaves include mechanical measuring instruments - caliper, planner, coordinate networks, weighting method, regression models, image processing [2, 4, 8]. Appropriate available tools are video cameras that can be equipment for autonomous robots crawling around the vineyard, as well as unmanned aerial vehicles capturing images from a small height (1-3 m). The software of such systems requires the use of algorithms to measure the area of the leaves [6].