{"id":9205,"date":"2022-01-31T14:57:05","date_gmt":"2022-01-31T14:57:05","guid":{"rendered":"https:\/\/hp-drones.com\/precision-agriculture\/"},"modified":"2026-03-20T11:53:04","modified_gmt":"2026-03-20T11:53:04","slug":"precision-agriculture","status":"publish","type":"page","link":"https:\/\/hpdrones.pro\/en\/precision-agriculture\/","title":{"rendered":"Precision agriculture"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_stops=&#8221;rgba(0,0,0,0.53) 0%|rgba(0,0,0,0.24) 100%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_color_gradient_start=&#8221;rgba(0,0,0,0.53)&#8221; background_color_gradient_end=&#8221;rgba(0,0,0,0.24)&#8221; background_image=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2022\/06\/Drones-en-agricultura-scaled.jpg&#8221; custom_margin=&#8221;-69px|||||&#8221; custom_padding=&#8221;73px||73px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row use_custom_gutter=&#8221;on&#8221; make_equal=&#8221;on&#8221; custom_padding_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; custom_padding=&#8221;46px||0px||false|&#8221; custom_padding_tablet=&#8221;46px||0px||false|&#8221; custom_padding_phone=&#8221;88px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text admin_label=&#8221;Texto&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;|300|||||||&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;54px&#8221; header_4_font=&#8221;|300|||||||&#8221; header_4_text_color=&#8221;#FFFFFF&#8221; header_4_font_size=&#8221;21px&#8221; header_text_shadow_style=&#8221;preset1&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>PRECISION AGRICULTURE<\/h1>\n<h4>Vegetation indices<\/h4>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_divider _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;-50px||||false|false&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; custom_padding=&#8221;27px||36px|||&#8221; custom_padding_tablet=&#8221;27px||36px|||&#8221; custom_padding_phone=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; make_equal=&#8221;on&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; width_tablet=&#8221;100%&#8221; width_phone=&#8221;90%&#8221; width_last_edited=&#8221;on|phone&#8221; module_alignment_tablet=&#8221;&#8221; module_alignment_phone=&#8221;left&#8221; module_alignment_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;31px|10px|31px|75px|true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;|800|||||||&#8221; header_2_text_color=&#8221;#c11919&#8243; header_2_font_size=&#8221;35px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>VEGETATION INDICES FOR KNOWING THE TERRAIN<\/b><\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_line_height=&#8221;1.8em&#8221; custom_padding=&#8221;||0px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: justify;\">Vegetation indices are an essential tool in precision agriculture, as they allow the conversion of image data into knowledge on the ground.<\/p>\n<p style=\"text-align: justify;\">The indices that can be derived from multispectral images are different and, being all sensitive to changes in chlorophyll content and\/or vegetative vigour, they allow detecting possible changes in plant physiology, through the indices it is possible to monitor the health status of crops.<\/p>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/hpdrones.pro\/en\/contact\/&#8221; button_text=&#8221;CONTACT&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;22px&#8221; button_text_color=&#8221;#FFFFFF&#8221; button_bg_color=&#8221;#E02B20&#8243; button_border_radius=&#8221;3px&#8221; background_layout=&#8221;dark&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2022\/01\/Insurance-comparison2.jpg&#8221; custom_padding=&#8221;162px||162px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px|||||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; make_equal=&#8221;on&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; width_tablet=&#8221;100%&#8221; width_phone=&#8221;90%&#8221; width_last_edited=&#8221;on|phone&#8221; module_alignment_tablet=&#8221;&#8221; module_alignment_phone=&#8221;left&#8221; module_alignment_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; background_enable_image=&#8221;off&#8221; custom_padding=&#8221;162px||162px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2025\/07\/agras-25-1.webp&#8221; title_text=&#8221;agras 25&#8243; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;98%&#8221; max_width=&#8221;94%&#8221; min_height=&#8221;575px&#8221; custom_margin=&#8221;-140px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;|75px|||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;|800|||||||&#8221; header_2_text_color=&#8221;#c11919&#8243; header_2_font_size=&#8221;35px&#8221; custom_margin=&#8221;150px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><b>CONTAGEM OF HIGH PRECISION PLANTS<\/b><\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;12px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: justify;\">Plant contamination is an essential task in productivity management. It allows farmers to estimate plant population, density, germination rates and plant health and make timely decisions that, ultimately, affect yield. Common methods of manual plant infection have been aided by producers for decades. They are based on visual inspection and calculation of plant mass in small predefined field areas. However, these methods require a lot of work and are long to be precise.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; make_equal=&#8221;on&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; width_tablet=&#8221;100%&#8221; width_phone=&#8221;90%&#8221; width_last_edited=&#8221;on|phone&#8221; custom_margin=&#8221;-19px||-176px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;31px|10px|31px|75px|true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;|800|||||||&#8221; header_2_text_color=&#8221;#c11919&#8243; header_2_font_size=&#8221;35px&#8221; custom_margin=&#8221;|||-31px||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><b>WHY AND WHEN IS AN ACCURATE PLANT COUNT NECESSARY?<\/b><\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;|||-31px|false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>There are situations in which a precise ground report is essential, but it is absolutely essential for a precise report that you intend to do:<\/p>\n<p>&#8211; Check the quality of the crop, especially if you produce seeds;<br \/>&#8211; Understand areas of variable yield within fields;<br \/>&#8211; Obtain accurate data during R&amp;D projects;<br \/>&#8211; Estimate yield accurately in the early stages;<br \/>&#8211; Detect outliers;<br \/>&#8211; Make timely decisions, such as partially replanting the field;<br \/>&#8211; Increase yield potential to meet production targets.<\/p>\n<p>The following table summarises the most important indices:<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; background_enable_image=&#8221;off&#8221; custom_padding=&#8221;162px||162px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2025\/07\/agras-t50.jpg&#8221; title_text=&#8221;agras t50&#8243; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;437px&#8221; custom_margin=&#8221;-120px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;29px|||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_3_text_align=&#8221;center&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><strong>Characteristics and applications<\/strong><\/h3>\n<p>[\/et_pb_text][et_pb_divider _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;10%&#8221; module_alignment=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text content_tablet=&#8221;<\/p>\n<h3>\n            <span style=%22font-weight: 400;%22>Vegetation indices<\/span><br \/>          <\/h3>\n<p>\n            <span style=%22font-weight: 400;%22><\/span>\n          <\/p>\n<p>        &#8221; content_phone=&#8221;<\/p>\n<h3><span style=%22font-weight: 400;%22>Vegetation indices<\/span><\/h3>\n<table>\n<tbody>\n<tr>\n<td style=%22width: 130.656px;%22><i><br \/><span style=%22font-weight: 400;%22><b>NDVI<\/b> <br \/>Normalized Difference Vegetation Index<\/span><br \/><\/i><\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>Index describing the normalised difference between the near infrared and visible red bands of vegetation cover. It can be used to estimate the vegetative vigour of plants, which will monitor their health status<\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 130.656px;%22>\n<p><i><br \/><span style=%22font-weight: 400;%22><br \/><b>BNDVI<br \/><\/b><\/span><\/i><i><span style=%22font-weight: 400;%22>Blue Normalised Difference Vegetation Index<\/span><br \/><\/i><\/p>\n<\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>Band index in red using visible blue, for areas sensitive to chlorophyll content <\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 130.656px;%22>\n<p><i><br \/><span style=%22font-weight: 400;%22><br \/><b>GNDVI<br \/><\/b><\/span><\/i><i><span style=%22font-weight: 400;%22>Green normalised difference vegetation index<\/span><br \/><\/i><\/p>\n<\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>Non-banded red index using visible green, to measure photosynthetics and monitor plant stress.<\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 130.656px;%22>\n<p><i><br \/><span style=%22font-weight: 400;%22><br \/><b>NDRE<br \/><\/b><\/span><\/i><i><span style=%22font-weight: 400;%22>Normalised Difference Red Boundary<\/span><br \/><\/i><\/p>\n<\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>Index sensitive to chlorophyll content in leaves. It is suitable for the study of plants in advanced phenological stages<\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 130.656px;%22>\n<p><i><br \/><span style=%22font-weight: 400;%22><br \/><b>LCI<br \/><\/b><\/span><\/i><i><span style=%22font-weight: 400;%22>Foliar chlorophyll index<\/span><br \/><\/i><\/p>\n<\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>Index allows assessment of chlorophyll content in situations of complete leaf coverage<\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 130.656px;%22>\n<p><i><br \/><span style=%22font-weight: 400;%22><br \/><b>TGI<br \/><\/b><\/span><\/i><i><span style=%22font-weight: 400;%22>Triangular Green Index<\/span><br \/><\/i><\/p>\n<\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>RGB index sensitive to chlorophyll content in situations of high leaf coverage. Can be useful to detect nitrogen needs of plants<\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 130.656px;%22>\n<p><i><br \/><span style=%22font-weight: 400;%22><br \/><b>VARI<br \/><\/b><\/span><\/i><i><span style=%22font-weight: 400;%22>Visible Atmospheric Resistance Index<\/span><br \/><\/i><\/p>\n<\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>RGB index sensitive to weather insensitive sail cover<\/span><\/td>\n<\/tr>\n<tr>\n<td style=%22width: 130.656px;%22>\n<p><i><br \/><span style=%22font-weight: 400;%22><br \/><b>MCARI<br \/><\/b><\/span><\/i><i><span style=%22font-weight: 400;%22>Chlorophyll absorption modified reflectance index<\/span><br \/><\/i><\/p>\n<\/td>\n<td style=%22width: 218.344px; text-align: justify;%22><span style=%22font-weight: 400;%22>Index measuring chlorophyll concentrations, is sensitive to variations in leaf area index (LAI)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=%22font-weight: 400;%22><\/span><\/p>\n<p>&#8221; content_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<table style=\"height: 512px; width: 1006px; border-color: #000000; margin-left: auto; margin-right: auto;\" border=\"0\">\n<tbody>\n<tr style=\"height: 24px;\">\n<td colspan=\"2\" style=\"width: 510.696px; height: 24px;\">Vegetation indices<\/td>\n<td style=\"width: 479.901px; height: 24px;\">Characteristics and applications<\/td>\n<\/tr>\n<tr style=\"height: 96px;\">\n<td style=\"width: 89.1477px; height: 96px;\"><i><br \/><span style=\"font-weight: 400;\"><br \/><b>NDVI<\/b><br \/><\/span><br \/><\/i><\/td>\n<td style=\"width: 415.753px; height: 96px;\"><span style=\"font-weight: 400;\"><strong>Normalized Difference Vegetation Index<\/strong><br \/>Normalized Difference Vegetation Index<\/span><\/td>\n<td style=\"width: 479.901px; text-align: justify; height: 96px;\"><span style=\"font-weight: 400;\">Index describing the normalised difference between the near infrared and visible red bands of vegetation cover. It can be used to estimate the vegetative vigour of plants, which will monitor their health status<\/span><\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 89.1477px; height: 48px;\"><b>BNDVI<\/b><\/td>\n<td style=\"width: 415.753px; text-align: justify; height: 48px;\"><span style=\"font-weight: 400;\"><strong>Blue Normalized Difference Vegetation Index<\/strong><br \/>\nNormalized Difference Vegetation Index (NDVI)<br \/><\/span><\/td>\n<td style=\"width: 479.901px; text-align: justify; height: 48px;\">Red-band index using visible blue light, for areas sensitive to chlorophyll content<\/td>\n<p>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 89.1477px; height: 48px;\"><b>GNDVI<\/b><\/td>\n<td style=\"width: 415.753px; height: 48px;\"><span style=\"font-weight: 400;\"><strong>Green Normalized Difference Vegetation Index<\/strong><br \/>\nNormalized Difference Vegetation Index (NDVI)<br \/><\/span><\/td>\n<td style=\"width: 479.901px; text-align: justify; height: 48px;\">A red-band-free index that uses visible green light to measure photosynthetic indices and monitor plant stress<\/td>\n<p>\n<\/tr>\n<tr style=\"height: 80px;\">\n<td style=\"width: 89.1477px; height: 80px;\"><b>NDRE<\/b><\/td>\n<td style=\"width: 415.753px; height: 80px;\"><span style=\"font-weight: 400;\"><strong>Normalized Difference Red Boundary<\/strong><br \/>Normalized difference Red edge<\/span><\/td>\n<td style=\"width: 479.901px; text-align: justify; height: 80px;\"><span style=\"font-weight: 400;\">Index sensitive to chlorophyll content in leaves. It is suitable for the study of plants in advanced phenological stages<\/span><\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 89.1477px; height: 48px;\"><b>LCI<\/b><\/td>\n<p><span style=\"font-weight: 400;\"><strong><\/p>\n<td style=\"width: 415.753px; height: 48px;\">Leaf Chlorophyll Index<\/td>\n<p><\/strong><\/span><br \/>\n<i>Leaf Chlorophyll Index<\/i><\/p>\n<td style=\"width: 479.901px; text-align: justify; height: 48px;\">This index allows for the assessment of chlorophyll content under conditions of full leaf cover<\/td>\n<p><span style=\"font-weight: 400;\"> <\/span><br \/>\n<\/tr>\n<tr style=\"height: 72px;\">\n<td style=\"width: 89.1477px; height: 72px;\"><b>TGI<\/b><\/td>\n<td style=\"width: 415.753px; height: 72px;\"><i><span style=\"font-weight: 400;\"><strong>Triangular Greenness Index<\/strong><br \/>Triangular Greenness Index<\/span><br \/><\/i><\/td>\n<td style=\"width: 479.901px; text-align: justify; height: 72px;\"><span style=\"font-weight: 400;\">RGB index sensitive to chlorophyll content in situations of high leaf coverage. Can be useful to detect nitrogen needs of plants<\/span><\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 89.1477px; height: 48px;\"><b>VARI<\/b><\/td>\n<td style=\"width: 415.753px; height: 48px;\"><strong>Visible Atmospheric Resistant Index<\/strong><br \/>\n<i>Visible Atmospheric Resistance Index<\/i><\/td>\n<p>Weather-insensitive RGB <\/p>\n<td style=\"width: 479.901px; text-align: justify; height: 48px;\">index <\/td>\n<p>sensitive to canopy cover<br \/> <br \/>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 89.1477px; height: 48px;\"><b>MCARI<\/b><\/td>\n<td style=\"width: 415.753px; height: 48px;\"><i><strong>Modified Chlorophyll Absorption in Reflective<\/strong><br \/>\n<span style=\"font-weight: 400;\">Absorci\u00f3n de clorofila modificada en \u00edndice reflectante<\/span><br \/><\/i><\/td>\n<p><\/p>\n<td style=\"width: 479.901px; text-align: justify; height: 48px;\"><span style=\"font-weight: 400;\">Index que mide las concentraciones de clorofila, es sensible a las variaciones del \u00edndice de \u00e1rea foliar (LAI)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;105px&#8221; custom_padding=&#8221;||0px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; header_3_text_align=&#8221;center&#8221; custom_margin=&#8221;||15px|||&#8221; header_font_tablet=&#8221;&#8221; header_font_phone=&#8221;&#8221; header_font_last_edited=&#8221;on|desktop&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>ENTERPRISE SOLUTIONS<\/h3>\n<p>[\/et_pb_text][et_pb_divider _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;10%&#8221; module_alignment=&#8221;center&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2023\/08\/Matrice-Altum-PT.png&#8221; title_text=&#8221;Matrice + Altum PT&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_toggle title=&#8221;COMBO MATRICE 300\/350 RTK + MICASENSE ALTUM PT&#8221; open_toggle_text_color=&#8221;#000000&#8243; icon_color=&#8221;#a40000&#8243; open_icon_color=&#8221;#a40000&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#000000&#8243; title_text_align=&#8221;center&#8221; background_color=&#8221;#FFFFFF&#8221; text_orientation=&#8221;center&#8221; border_color_all=&#8221;#a40000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>1x DJI Matrice 300 RTK or Matrice 350 RTK<br \/>1x Kit Battery<br \/>1x D-RTK<br \/>1x Tr\u00edpode<br \/>1x MicaSense Altum-PT<br \/>Software Pix4D Fields<\/p>\n<p>[\/et_pb_toggle][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2023\/02\/m3m-hpdrones-dji.png&#8221; title_text=&#8221;m3m-hpdrones-dji&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_toggle title=&#8221;COMBO MAVIC 3 MULTISPECTRAL&#8221; open_toggle_text_color=&#8221;#000000&#8243; icon_color=&#8221;#a40000&#8243; open_icon_color=&#8221;#a40000&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#000000&#8243; title_text_align=&#8221;center&#8221; background_color=&#8221;#FFFFFF&#8221; text_orientation=&#8221;center&#8221; border_color_all=&#8221;#a40000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>1x DJI Mavic 3 Multispectral<br \/>1x Kit Battery<br \/>1x D-RTK<br \/>1x Tr\u00edpode<br \/>Software Pix4D Fields<\/p>\n<p>[\/et_pb_toggle][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2023\/08\/Matrice-Rededge-P-1.webp&#8221; title_text=&#8221;Matrice + Rededge-P&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_toggle title=&#8221;COMBO MATRICE 300\/350 RTK + MICASENSE REDEDGE-P&#8221; open_toggle_text_color=&#8221;#000000&#8243; icon_color=&#8221;#a40000&#8243; open_icon_color=&#8221;#a40000&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#000000&#8243; title_text_align=&#8221;center&#8221; background_color=&#8221;#FFFFFF&#8221; text_orientation=&#8221;center&#8221; border_color_all=&#8221;#a40000&#8243; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>1x DJI Matrice 300 RTK ou Matrice 350 RTK<br \/>1x Kit Battery<br \/>1x D-RTK<br \/>1x Tr\u00edpode<br \/>1x MicaSense RedEdge-P<br \/>Software Pix4D Fields<\/p>\n<p>[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;2&#8243; make_equal=&#8221;on&#8221; disabled_on=&#8221;on|off|off&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; width_tablet=&#8221;100%&#8221; width_phone=&#8221;90%&#8221; width_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;31px|10px|31px|75px|true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; header_2_font=&#8221;|800|||||||&#8221; header_2_text_color=&#8221;#c11919&#8243; header_2_font_size=&#8221;35px&#8221; custom_margin=&#8221;|||-31px||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Precision Agriculture Training at HPDRONES Academy<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; text_line_height=&#8221;1.8em&#8221; custom_margin=&#8221;|||-31px|false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>At HPDRONES Academy, we offer a specialized course in Precision Agriculture designed for professionals and farmers who wish to incorporate UAV (drone) technology and advanced sensors into their agricultural practices. During the course, participants learn techniques for capturing multispectral imagery, processing vegetation indices such as NDVI, GNDVI, or NDRE, mapping areas of variability within the field, as well as monitoring plant vigor, early detection of pests and diseases, and efficient management of inputs (water, fertilizers, and pesticides). In addition, students learn to interpret the data obtained for agricultural decision-making, implementing action plans that optimize yield and sustainability. All of this is supported by hands-on experience through actual flights, leading software tools (such as Pix4D, QGIS, and others), and guidance from instructors with experience in real-world precision agriculture projects.   <\/p>\n<p>Click here for more information about the<a href=\"https:\/\/academy.hpdrones.pro\/courseactions\/show\/52.html?id=52\"> Precision Agriculture<\/a> course.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; background_enable_image=&#8221;off&#8221; custom_padding=&#8221;162px||162px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_video src_webm=&#8221;https:\/\/hpdrones.pro\/wp-content\/uploads\/2025\/10\/da1e3842-f1fa-43ef-b736-c5dfd7b42271.webm&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; max_width=&#8221;81%&#8221; min_height=&#8221;260px&#8221; height=&#8221;100px&#8221; max_height=&#8221;100px&#8221; custom_margin=&#8221;-138px||-138px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_video][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>PRECISION AGRICULTURE Vegetation indicesVEGETATION INDICES FOR KNOWING THE TERRAINVegetation indices are an essential tool in precision agriculture, as they allow the conversion of image data into knowledge on the ground. The indices that can be derived from multispectral images are different and, being all sensitive to changes in chlorophyll content and\/or vegetative vigour, they allow [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-9205","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Precision agriculture - HPDRONES<\/title>\n<meta name=\"description\" content=\"Drones are a perfect tool for precision farming. You can use them to analyse vegetation indices to get a feel for the terrain!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hpdrones.pro\/en\/precision-agriculture\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Precision agriculture - HPDRONES\" \/>\n<meta property=\"og:description\" content=\"Drones are a perfect tool for precision farming. 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