{"id":23192,"date":"2025-07-28T12:18:11","date_gmt":"2025-07-28T10:18:11","guid":{"rendered":"https:\/\/geo-konzept.de\/minigis\/"},"modified":"2026-02-12T11:43:40","modified_gmt":"2026-02-12T10:43:40","slug":"minigis","status":"publish","type":"page","link":"https:\/\/geo-konzept.de\/en\/minigis\/","title":{"rendered":"miniGIS"},"content":{"rendered":"[vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#ffffff” scene_position=”center” top_padding=”0″ bottom_padding=”0″ text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” top_margin=”0″ bottom_margin=”12″ column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” offset=”vc_hidden-sm vc_hidden-xs”][divider line_type=”No Line” custom_height=”8″][\/vc_column][\/vc_row][vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#ffffff” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”no-extra-padding” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][divider line_type=”No Line” custom_height=”8″][vc_column_text css=”” text_direction=”default”]\n
This planning data serves as the basis for GPS systems that can automatically steer and control tractors and seed drills. During sowing, tracks can be skipped. Sowing can also be continued and completed even in poor visibility conditions. Thanks to the established tracks, the creation and maintenance of paths is also possible automatically with an accuracy of 2 – 3 cm. In addition, steering systems can automatically trigger the seed drill when it enters the plot. Marking paths is therefore completely unnecessary.[\/vc_column_text][divider line_type=”No Line” custom_height=”25″][vc_column_text css=”.vc_custom_1770120792275{padding-top: 20px !important;padding-bottom: 20px !important;background-color: #008e4d !important;border-radius: 1px !important;}” text_direction=”default”]\n
Application example:<\/strong> Creating buffer zones to separate experimental plots within field boundaries and individually dividing fields. Field boundaries and important points within an area can easily be placed and marked on the map. Buffer zones facilitate the digital preparation of fields when planning various experiments.<\/p>\n The miniGIS Basic module is a prerequisite for all other listed modules.<\/strong>[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”Mapping”][vc_column_text css=”” text_direction=”default”]\n Application example:<\/strong> Surveying experimental plots. Using a surveying system (optional), experimental plots can be recorded with RTK accuracy as a miniGIS project and subsequently used as a basis for experimental planning. By working within a single system, data is consistently managed in miniGIS and can be easily processed further.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”Scoring”][vc_column_text css=”” text_direction=”default”]\n Application example:<\/strong> Manual scoring of experimental plots. Experimental plots are easily located for assessment when used with an optional GNSS receiver. Attributes can be freely defined and added. After assessment, entered values \u200b\u200bare automatically assigned to the nearest positioned experimental plots in the database, eliminating the need for manual marking of the target plots.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”Harvest”][vc_column_text css=”” text_direction=”default”]\n Application example:<\/strong> Harvesting plots. The coordinates of individual plots can be output directly from a miniGIS experimental plan (in conjunction with an optional GNSS receiver) to the yield mapping software on the harvesting vehicle. This results in automatic assignment of the information to the harvested experimental plots. Plots can therefore be processed in any order without a harvesting plan.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”Field Trial Manager”][vc_column_text css=”” text_direction=”default”]\n Application example:<\/strong> Establishing experimental plots. Experimental plots can be digitally planned, taking field boundaries into account, and optimally positioned in the field where soil and yield maps show the least discrepancies. This planning data is then exported to guiding systems and used for automatic sowing in conjunction with tractors and seed drills.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”VRC”][vc_column_text css=”” text_direction=”default”]\n Application example:<\/strong> Crop protection trial. Planned trial plots can be divided and marked into productive and non-productive plots. This information is exported to the steering system, and plots can be treated or left untreated accordingly using section control on the implement.[\/vc_column_text][\/toggle][toggle color=”Default” heading_tag=”default” heading_tag_functionality=”default” title=”Air”][vc_column_text css=”” text_direction=”default”]\n Application example 1:<\/strong> Counting Individual Plants. Using miniGIS Air, georeferenced aerial images from drone footage can be displayed, analyzed, and processed. Depending on the application, individual plants can be counted, or the coverage of an experimental plot can be calculated.<\/p>\n Application example 2:<\/strong> Evaluating Growth Indices. Using miniGIS Air, georeferenced aerial images from drone footage can be displayed, analyzed, and processed (growth indices such as NDVI). Growth differences can be recorded on a plot-specific basis and evaluated representatively. 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