[et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” use_background_color_gradient=”on” background_color_gradient_stops=”rgba(0,0,0,0.53) 0%|rgba(0,0,0,0.24) 100%” background_color_gradient_overlays_image=”on” background_color_gradient_start=”rgba(0,0,0,0.53)” background_color_gradient_end=”rgba(0,0,0,0.24)” background_image=”https:\/\/hp-drones.com\/wp-content\/uploads\/2022\/06\/Drones-en-agricultura-scaled.jpg” custom_margin=”-69px|||||” custom_padding=”73px||73px||true|false” global_colors_info=”{}”][et_pb_row use_custom_gutter=”on” make_equal=”on” custom_padding_last_edited=”on|phone” _builder_version=”4.16″ _module_preset=”default” width=”90%” custom_padding=”46px||0px||false|” custom_padding_tablet=”46px||0px||false|” custom_padding_phone=”88px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Texto” _builder_version=”4.16″ _module_preset=”default” header_font=”|300|||||||” header_text_color=”#FFFFFF” header_font_size=”54px” header_4_font=”|300|||||||” header_4_text_color=”#FFFFFF” header_4_font_size=”21px” header_text_shadow_style=”preset1″ global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px||0px|||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” width=”90%” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.16″ _module_preset=”default” custom_margin_tablet=”” custom_margin_phone=”-50px||||false|false” custom_margin_last_edited=”on|phone” custom_padding=”27px||36px|||” custom_padding_tablet=”27px||36px|||” custom_padding_phone=”0px||0px||false|false” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” disabled_on=”on|off|off” _builder_version=”4.16″ _module_preset=”default” width=”100%” width_tablet=”100%” width_phone=”90%” width_last_edited=”on|phone” module_alignment_tablet=”” module_alignment_phone=”left” module_alignment_last_edited=”on|phone” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”31px|10px|31px|75px|true|false” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_2_font=”|800|||||||” header_2_text_color=”#c11919″ header_2_font_size=”35px” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”default” text_line_height=”1.8em” custom_padding=”||0px|||” global_colors_info=”{}”]<\/p>\n
Os \u00edndices de vegeta\u00e7\u00e3o s\u00e3o uma ferramenta fundamental na agricultura de precis\u00e3o, pois permitem que os dados de imagem sejam traduzidos em conhecimento de campo.<\/p>\n
Os \u00edndices que podem ser derivados a partir de imagens multiespectrais s\u00e3o diferentes e, sendo todos estes sens\u00edveis \u00e0s mudan\u00e7as no teor de clorofila e\/ou no vigor vegetativo, permitem detetar eventuais altera\u00e7\u00f5es na fisiologia das plantas, isto \u00e9, atrav\u00e9s dos \u00edndices \u00e9 poss\u00edvel monitorizar o estado de sa\u00fade das culturas.<\/p>\n
[\/et_pb_text][et_pb_button button_url=”https:\/\/hp-drones.com\/pt-pt\/contacto\/” button_text=”CONTACTO” _builder_version=”4.27.0″ _module_preset=”default” custom_button=”on” button_text_size=”22px” button_text_color=”#FFFFFF” button_bg_color=”#E02B20″ button_border_radius=”3px” background_layout=”dark” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_button][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” background_image=”https:\/\/hp-drones.com\/wp-content\/uploads\/2022\/01\/Insurance-comparison2.jpg” custom_padding=”162px||162px||true|false” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px|||||” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” disabled_on=”on|off|off” _builder_version=”4.27.0″ _module_preset=”default” width=”100%” width_tablet=”100%” width_phone=”90%” width_last_edited=”on|phone” module_alignment_tablet=”” module_alignment_phone=”left” module_alignment_last_edited=”on|phone” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.0″ _module_preset=”default” background_enable_image=”off” custom_padding=”162px||162px||true|false” global_colors_info=”{}”][et_pb_image src=”https:\/\/hp-drones.com\/wp-content\/uploads\/2025\/07\/agras-25-1.webp” title_text=”agras 25″ _builder_version=”4.27.0″ _module_preset=”default” width=”98%” max_width=”94%” min_height=”575px” custom_margin=”-140px||||false|false” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”|75px|||true|false” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” header_2_font=”|800|||||||” header_2_text_color=”#c11919″ header_2_font_size=”35px” custom_margin=”150px||||false|false” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” text_line_height=”1.8em” custom_margin=”12px||||false|false” global_colors_info=”{}”]<\/p>\n
A contagem de plantas \u00e9 uma tarefa essencial no gerenciamento da produtividade. Ele permite que os agricultores estimem a popula\u00e7\u00e3o de plantas, a densidade, a taxa de germina\u00e7\u00e3o e a sa\u00fade das plantas e tomem decis\u00f5es oportunas que, em \u00faltima an\u00e1lise, afetam o rendimento. M\u00e9todos comuns de contagem manual de plantas t\u00eam ajudado os produtores h\u00e1 d\u00e9cadas. Eles s\u00e3o baseados na inspe\u00e7\u00e3o visual e no c\u00e1lculo da massa vegetal em pequenas \u00e1reas de campo predefinidas. No entanto, esses m\u00e9todos exigem muito trabalho e est\u00e3o longe de ser precisos.<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” disabled_on=”on|off|off” _builder_version=”4.27.0″ _module_preset=”default” width=”100%” width_tablet=”100%” width_phone=”90%” width_last_edited=”on|phone” custom_margin=”-19px||-176px||false|false” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”31px|10px|31px|75px|true|false” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_2_font=”|800|||||||” header_2_text_color=”#c11919″ header_2_font_size=”35px” custom_margin=”|||-31px||” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.16″ _module_preset=”default” text_line_height=”1.8em” custom_margin=”|||-31px|false|false” global_colors_info=”{}”]<\/p>\n
Existem situa\u00e7\u00f5es em que um relat\u00f3rio de baixa precis\u00e3o \u00e9 aceit\u00e1vel, mas \u00e9 absolutamente essencial ter um relat\u00f3rio preciso se voc\u00ea pretende faz\u00ea-lo:<\/p>\n
– Verifique a qualidade da sementeira, especialmente se produzir sementes;
– Compreenda as zonas de rendimento vari\u00e1vel nos campos;
– Receba dados precisos durante os projetos de I&D;
– Estime o rendimento com precis\u00e3o nas fases iniciais;
– Detetar bandidos;
– Tomar decis\u00f5es oportunas, por exemplo, replantar parcialmente o campo;
– Aumentar o potencial de rendimento para cumprir os objetivos de produ\u00e7\u00e3o.<\/p>\n
A tabela que se segue resume os \u00edndices mais importantes:<\/p>\n
[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.0″ _module_preset=”default” background_enable_image=”off” custom_padding=”162px||162px||true|false” global_colors_info=”{}”][et_pb_image src=”https:\/\/hp-drones.com\/wp-content\/uploads\/2025\/07\/agras-t50.jpg” title_text=”agras t50″ _builder_version=”4.27.0″ _module_preset=”default” min_height=”437px” custom_margin=”-120px||||false|false” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”29px|||||” global_colors_info=”{}”][et_pb_row make_equal=”on” _builder_version=”4.16″ _module_preset=”default” width=”90%” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_3_text_align=”center” custom_margin=”||15px|||” global_colors_info=”{}”]<\/p>\n
[\/et_pb_text][et_pb_divider _builder_version=”4.16″ _module_preset=”default” max_width=”10%” module_alignment=”center” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=”off|off|off” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text content_tablet=”<\/p>\n
\n <\/span>\n <\/p>\n ” content_phone=”<\/p>\n <\/span><\/p>\n ” content_last_edited=”on|phone” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n \n<\/tr>\n \n<\/tr>\n \n<\/tr>\n \n<\/tr>\n \n<\/tr>\n<\/tbody>\n<\/table>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ _module_preset=”default” min_height=”105px” custom_padding=”||0px|||” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” header_3_text_align=”center” custom_margin=”||15px|||” header_font_tablet=”” header_font_phone=”” header_font_last_edited=”on|desktop” locked=”off” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_divider _builder_version=”4.16″ _module_preset=”default” max_width=”10%” module_alignment=”center” locked=”off” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/hp-drones.com\/wp-content\/uploads\/2023\/08\/Matrice-Altum-PT.png” title_text=”Matrice + Altum PT” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_toggle title=”COMBO MATRICE 300\/350 RTK + MICASENSE ALTUM PT” open_toggle_text_color=”#000000″ icon_color=”#a40000″ open_icon_color=”#a40000″ _builder_version=”4.16″ _module_preset=”default” title_text_color=”#000000″ title_text_align=”center” background_color=”#FFFFFF” text_orientation=”center” border_color_all=”#a40000″ global_colors_info=”{}”]<\/p>\n 1x DJI Matrice 300 RTK ou Matrice 350 RTK [\/et_pb_toggle][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/hp-drones.com\/wp-content\/uploads\/2023\/02\/m3m-hpdrones-dji.png” title_text=”m3m-hpdrones-dji” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_toggle title=”COMBO MAVIC 3 MULTISPECTRAL” open_toggle_text_color=”#000000″ icon_color=”#a40000″ open_icon_color=”#a40000″ _builder_version=”4.16″ _module_preset=”default” title_text_color=”#000000″ title_text_align=”center” background_color=”#FFFFFF” text_orientation=”center” border_color_all=”#a40000″ global_colors_info=”{}”]<\/p>\n 1x DJI Mavic 3 Multispectral [\/et_pb_toggle][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/hp-drones.com\/wp-content\/uploads\/2023\/08\/Matrice-Rededge-P-1.webp” title_text=”Matrice + Rededge-P” _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_toggle title=”COMBO MATRICE 300\/350 RTK + MICASENSE REDEDGE-P” open_toggle_text_color=”#000000″ icon_color=”#a40000″ open_icon_color=”#a40000″ _builder_version=”4.16″ _module_preset=”default” title_text_color=”#000000″ title_text_align=”center” background_color=”#FFFFFF” text_orientation=”center” border_color_all=”#a40000″ global_colors_info=”{}”]<\/p>\n 1x DJI Matrice 300 RTK ou Matrice 350 RTK [\/et_pb_toggle][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” disabled_on=”on|off|off” _builder_version=”4.27.0″ _module_preset=”default” width=”100%” width_tablet=”100%” width_phone=”90%” width_last_edited=”on|phone” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”31px|10px|31px|75px|true|false” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” header_2_font=”|800|||||||” header_2_text_color=”#c11919″ header_2_font_size=”35px” custom_margin=”|||-31px||” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.0″ _module_preset=”default” text_line_height=”1.8em” custom_margin=”|||-31px|false|false” global_colors_info=”{}”]<\/p>\n Na HPDRONES Academy, oferecemos um curso especializado em Agricultura de Precis\u00e3o, concebido para profissionais e agricultores que desejam incorporar tecnologia UAV (drones) e sensores avan\u00e7ados nas suas pr\u00e1ticas agr\u00edcolas. Durante o curso, s\u00e3o ensinadas t\u00e9cnicas para obter imagens multiespectrais, processar \u00edndices vegetativos como NDVI, GNDVI ou NDRE, mapear zonas de variabilidade dentro do campo, bem como monitorizar o vigor, detetar precocemente pragas e doen\u00e7as e gerir de forma eficiente o uso de insumos (\u00e1gua, fertilizantes, fitossanit\u00e1rios). Al\u00e9m disso, os alunos aprendem a interpretar os dados obtidos para a tomada de decis\u00f5es agr\u00edcolas, implementando planos de a\u00e7\u00e3o que otimizam o rendimento e a sustentabilidade. Tudo isso com apoio pr\u00e1tico por meio de voos reais, ferramentas de software l\u00edderes (como Pix4D, QGIS ou outras) e apoio de instrutores com experi\u00eancia em projetos reais de agricultura de precis\u00e3o. <\/p>\n\u00cdndices de vegeta\u00e7\u00e3o<\/span><\/h3>\n
\n\n
\n
NDVI<\/b>
\u00cdndice de vegeta\u00e7\u00e3o de diferen\u00e7a normalizada<\/span>
<\/i><\/td>\n\u00cdndice que descreve a diferen\u00e7a normalizada entre a banda do infravermelho pr\u00f3ximo e o vermelho vis\u00edvel da cobertura vegetal. Pode ser usado para estimar o vigor vegetativo das plantas, que monitorizar\u00e1 o seu estado de sa\u00fade<\/span><\/td>\n<\/tr>\n \n \n
BNDVI
<\/b><\/span><\/i>\u00cdndice de vegeta\u00e7\u00e3o de diferen\u00e7a normalizado azul<\/span>
<\/i><\/p>\n<\/td>\n\u00cdndice de banda em vermelho usando azul vis\u00edvel, para zonas sens\u00edveis ao teor de clorofila <\/span><\/td>\n<\/tr>\n \n \n
GNDVI
<\/b><\/span><\/i>\u00cdndice verde de diferen\u00e7a de vegeta\u00e7\u00e3o normalizado<\/span>
<\/i><\/p>\n<\/td>\n\u00cdndice vermelho sem bandless que usa verde vis\u00edvel, para medir \u00edndices de fotossint\u00e9tica e controlar o stress das plantas<\/span><\/td>\n<\/tr>\n \n \n
NDRE
<\/b><\/span><\/i>Diferen\u00e7a normalizada Fronteira vermelha<\/span>
<\/i><\/p>\n<\/td>\n\u00cdndice sens\u00edvel ao teor de clorofila nas folhas. \u00c9 adequado para o estudo de plantas em estados fenol\u00f3gicos avan\u00e7ados<\/span><\/td>\n<\/tr>\n \n \n
LCI
<\/b><\/span><\/i>\u00cdndice de clorofila foliar<\/span>
<\/i><\/p>\n<\/td>\n\u00cdndice permite avaliar o conte\u00fado de clorofila em situa\u00e7\u00f5es de cobertura foliar completa.<\/span><\/td>\n<\/tr>\n \n \n
TGI
<\/b><\/span><\/i>\u00cdndice de verde triangular<\/span>
<\/i><\/p>\n<\/td>\n\u00cdndice RGB sens\u00edvel ao conte\u00fado em clorofila em situa\u00e7\u00f5es de alta cobertura foliar. Pode ser \u00fatil para detetar as necessidades de azoto das plantas<\/span><\/td>\n<\/tr>\n \n \n
VARI
<\/b><\/span><\/i>\u00cdndice vis\u00edvel da resist\u00eancia atmosf\u00e9rica<\/span>
<\/i><\/p>\n<\/td>\n\u00cdndice RGB sens\u00edvel \u00e0 cobertura de vela insensidora do tempo<\/span><\/td>\n<\/tr>\n \n \n
MCARI
<\/b><\/span><\/i>Absor\u00e7\u00e3o de clorofila modificada no \u00edndice reflexivo<\/span>
<\/i><\/p>\n<\/td>\nO \u00edndice que mede as concentra\u00e7\u00f5es de clorofila, \u00e9 sens\u00edvel \u00e0s varia\u00e7\u00f5es no \u00edndice da \u00e1rea da folha (LAI)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \n\n
\n \u00cdndices de vegeta\u00e7\u00e3o <\/strong> <\/td>\n Caracter\u00edsticas e aplica\u00e7\u00f5es <\/b> <\/td>\n<\/tr>\n \n
NDVI<\/b>
<\/span>
<\/i><\/td>\nNormalized Difference Vegetation Index<\/strong>
\u00cdndice de vegetaci\u00f3n de diferencia normalizada<\/span><\/td>\n\u00cdndice que descreve a diferen\u00e7a normalizada entre a banda do infravermelho pr\u00f3ximo e o vermelho vis\u00edvel da cobertura vegetal. Pode ser usado para estimar o vigor vegetativo das plantas, que monitorizar\u00e1 o seu estado de sa\u00fade<\/span><\/td>\n<\/tr>\n \n BNDVI<\/b> <\/td>\n Blue Normalized Difference Vegetation Index<\/strong>
\n\u00cdndice de vegeta\u00e7\u00e3o de diferen\u00e7a normalizada azul
<\/span><\/td>\n\u00cdndice de banda vermelha utilizando o azul vis\u00edvel, para zonas sens\u00edveis ao conte\u00fado de clorofila<\/td>\n \n GNDVI<\/b> <\/td>\n Green Normalized Difference Vegetation Index<\/strong>
\n\u00cdndice de vegeta\u00e7\u00e3o de diferen\u00e7a normalizada verde
<\/span><\/td>\n\u00cdndice vermelho sem banda que utiliza o verde vis\u00edvel para medir os \u00edndices fotossint\u00e9ticos e controlar o stress das plantas<\/td>\n \n NDRE<\/b><\/td>\n Normalized Difference Red Boundary<\/strong>
Diferen\u00e7a normalizada Borda vermelha<\/span><\/td>\n\u00cdndice sens\u00edvel ao teor de clorofila nas folhas. \u00c9 adequado para o estudo de plantas em estados fenol\u00f3gicos avan\u00e7ados<\/span><\/td>\n<\/tr>\n \n LCI<\/b> <\/td>\n Leaf Chlorophyll Index<\/strong>
\n
\u00cdndice de clorofila foliar
<\/span><\/span><\/i><\/td>\nO \u00edndice permite avaliar o teor de clorofila em situa\u00e7\u00f5es de cobertura foliar completa.<\/td>\n \n TGI<\/b><\/td>\n Triangular Greenness Index<\/strong>
\u00cdndice triangular de verdura<\/span>
<\/i><\/td>\n\u00cdndice RGB sens\u00edvel ao conte\u00fado em clorofila em situa\u00e7\u00f5es de alta cobertura foliar. Pode ser \u00fatil para detetar as necessidades de azoto das plantas<\/span><\/td>\n<\/tr>\n \n VARI<\/b> <\/td>\n Visible Atmospheric Resistant Index<\/strong>
\n
\u00cdndice vis\u00edvel de resist\u00eancia atmosf\u00e9rica
<\/i><\/td>\n\u00cdndice RGB sens\u00edvel \u00e0 cobertura do dossel insens\u00edvel \u00e0s condi\u00e7\u00f5es meteorol\u00f3gicas<\/td>\n \n MCARI<\/b> <\/td>\n Modified Chlorophyll Absorption in Reflective<\/strong>
\n
Absor\u00e7\u00e3o de clorofila modificada no \u00edndice refletivo
<\/i><\/td>\n\u00cdndice que mede as concentra\u00e7\u00f5es de clorofila, \u00e9 sens\u00edvel \u00e0s varia\u00e7\u00f5es do \u00edndice de \u00e1rea foliar (LAI)<\/td>\n SOLU\u00c7\u00d5ES ENTERPRISE<\/h3>\n
1x Kit Bateria
1x D-RTK
1x Tr\u00edpode
1x MicaSense Altum-PT
Software Pix4D Fields<\/p>\n
1x Kit Bateria
1x D-RTK
1x Tr\u00edpode
Software Pix4D Fields<\/p>\n
1x Kit Bateria
1x D-RTK
1x Tr\u00edpode
1x MicaSense RedEdge-P
Software Pix4D Fields<\/p>\nForma\u00e7\u00e3o em Agricultura de Precis\u00e3o na HPDRONES Academy<\/h2>\n