A brief analysis has been made about the emergence of the concept of "navigation". The benefits of optimal guidance of agricultural aggregates through GPS navigation are outlined. Some of the positioning accuracy methods that are practiced in agricultural aggregates are analyzed. A poll has been conducted among users of agricultural equipment using GPS navigation. Issue and conclusions are drawn on the benefits and problems for more efficient use of GPS navigation in agriculture.
In June 2019, a drone image recording was performed equipped with an RGB camera on an experimental wheat field at an interval of seven days three times a day. Within one day (12.06.2019) information was collected about the weather conditions and eight measurements were made every hour. The commonly accepted indices were calculated: VARIgreen and ExG for the one-month and one-day observations of the received RGB digitized information. A regression model was created for a full factor experiment of type 23. The interaction of the factors that characterize the conditions of the video was evaluated. Conclusions were formulated as to the influence of the factors under which the observations were made. A recommendation was made with regard to which part of the day it is most appropriate to take photos and video surveillance of wheat.
The present study observes the development of spring crops maize and sunflower typical of the Southern Dobrudzha region. A distinct methodology for remote monitoring through the use of a small remotely piloted aircraft has been developed for the purposes of the present paper and applied accordingly. Two types of video cameras were used: for the visible range of the RGB light reflected by the plants and for the NearRed reflection close to the red light. The obtained results are presented in both tabular and graphical form and inferred, finally, in the paper are some principal conclusions about the condition of the crops under consideration.
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