Advances in Measurement of Vegetation Vitality applied for Nature Management

Abstract

The possibility of drones’ (or unmanned aerial vehicles, UAV) application in crops vegetation aerial control is considered. The corresponding to this task Technical Vision System (TVS) based on dynamic triangulation laser scanning is presented. Application of this TVS for vegetation vitality index detection is explained. Basing on the detected intensity of crops color converted into the specific parameters of the proportional electric signal in TVS’ s optoelectronic channel we can derive some practical conclusions useful for further agricultural processing. The computational results examples of such conversion are given in text. The filtration of external noise on the results of this method is assumed, the necessary additional mathematical processing are considered for the Boundary Element Method (BEM), the Monte Carlo Method (MC) and the Finite Difference Method (FDM) are noted; it is observed that BEM offers more precise results. It is shown that precise spatial positioning of the scanning laser beam is of paramount importance for proper system functioning at whole. Several research methods of closed-loop control theory, such as the Pos-algorithm using float or integer data types, PWM signal, etc., for improvement of DC motor’s shaft positioning of the Maxon RE-max29 DC motor with incremental encoder with the aim of 3d laser scanning accuracy are introduced.