{"id":135029,"date":"2026-07-09T11:34:07","date_gmt":"2026-07-09T15:34:07","guid":{"rendered":"https:\/\/www.agribusinessglobal.com\/?p=135029"},"modified":"2026-07-09T15:22:43","modified_gmt":"2026-07-09T19:22:43","slug":"ag-tech-talk-podcast-using-ai-to-unlock-the-value-of-farm-data","status":"publish","type":"post","link":"https:\/\/www.agribusinessglobal.com\/pt\/agtech\/ag-tech-talk-podcast-using-ai-to-unlock-the-value-of-farm-data\/","title":{"rendered":"Podcast Ag Tech Talk: Usando IA para desbloquear o valor dos dados agr\u00edcolas"},"content":{"rendered":"

A agricultura est\u00e1 gerando mais dados do que nunca, incluindo telemetria de equipamentos, imagens de sat\u00e9lite, sa\u00fade do solo, clima e biol\u00f3gico<\/a> desempenho, mas, \u00e0 medida que o volume de informa\u00e7\u00f5es continua a crescer, o maior desafio do setor n\u00e3o \u00e9 coletar mais dados \u2014 \u00e9 tornar esses dados utiliz\u00e1veis.<\/p>\n

Neste epis\u00f3dio do Ag Tech Talk por Agroneg\u00f3cio Global<\/strong>, tr\u00eas l\u00edderes cujas empresas est\u00e3o trabalhando juntas para avan\u00e7ar IA<\/a>Intelig\u00eancia espacial pronta para uso na agricultura: explore como o setor est\u00e1 transformando dados agr\u00edcolas complexos em insights acion\u00e1veis. Bailey Stockdale, fundador e CEO da [nome da empresa\/empresa]. Agricultura de Folhas<\/a>, Ben Pruden, chefe de GTM e marketing da Rob\u00f4s<\/a>, e Rachel Zack, cofundadora de Sentido<\/a>, Discuta como suas tecnologias complementares \u2014 que abrangem infraestrutura de dados, computa\u00e7\u00e3o geoespacial, visualiza\u00e7\u00e3o e intelig\u00eancia artificial \u2014 est\u00e3o ajudando a transformar conjuntos de dados fragmentados em insights pr\u00e1ticos que apoiam uma melhor tomada de decis\u00f5es na agricultura.<\/p>\n

A conversa examina por que a interoperabilidade continua sendo um dos maiores obst\u00e1culos da tecnologia agr\u00edcola, como a IA est\u00e1 reduzindo as barreiras t\u00e9cnicas para trabalhar com dados agr\u00edcolas complexos e por que o futuro n\u00e3o se trata de dar aos produtores ou agr\u00f4nomos mais um painel de controle. Trata-se de fornecer respostas dentro dos fluxos de trabalho que eles j\u00e1 utilizam.<\/p>\n

Ou\u00e7a a conversa completa abaixo para saber como a infraestrutura de dados atual est\u00e1 lan\u00e7ando as bases para a pr\u00f3xima gera\u00e7\u00e3o de agricultura de precis\u00e3o e tomada de decis\u00f5es orientada por IA.<\/p>\n

\"Ag<\/a> \"\"<\/a><\/p>\n

Transcri\u00e7\u00e3o do podcast:<\/h2>\n

*Esta \u00e9 uma transcri\u00e7\u00e3o editada e parcial.<\/em><\/p>\n

AgriBusiness Global: A agricultura est\u00e1 gerando quantidades enormes de dados \u2014 desde imagens de sat\u00e9lite e telemetria de equipamentos at\u00e9 dados sobre solo, clima e desempenho biol\u00f3gico. O que acontece nos bastidores para tornar todas essas informa\u00e7\u00f5es utiliz\u00e1veis?<\/strong><\/p>\n

Ben Pruden:<\/strong> O primeiro passo \u00e9 preparar os dados para que os sistemas de IA possam efetivamente trabalhar com eles. Isso significa conectar informa\u00e7\u00f5es de diversas fontes e organiz\u00e1-las em uma estrutura que permita \u00e0 IA compreender as rela\u00e7\u00f5es entre esses conjuntos de dados. Uma vez que os dados estejam vinculados e padronizados, torna-se muito mais f\u00e1cil consultar, analisar e gerar respostas rapidamente, em vez de gastar horas ou dias processando informa\u00e7\u00f5es.<\/p>\n

ABG: Depois que esses dados s\u00e3o conectados, o que \u00e9 necess\u00e1rio para transform\u00e1-los em algo que as pessoas realmente possam usar?<\/strong><\/p>\n

Bailey Stockdale:<\/strong> Os dados agr\u00edcolas prov\u00eam de in\u00fameras m\u00e1quinas, sensores, esta\u00e7\u00f5es meteorol\u00f3gicas e plataformas de software \u2014 cada um com seus pr\u00f3prios formatos e padr\u00f5es de arquivo. Antes que qualquer an\u00e1lise possa ser feita, essas informa\u00e7\u00f5es precisam ser traduzidas para uma linguagem comum.<\/p>\n

Uma vez que os dados estejam padronizados, as empresas podem come\u00e7ar a fazer perguntas de neg\u00f3cios relevantes, em vez de simplesmente gerenciar arquivos. Tecnologias como data lakes modernos e IA reduzem drasticamente o tempo necess\u00e1rio para analisar conjuntos de dados massivos, permitindo que perguntas que antes levavam dias ou semanas para serem respondidas por analistas sejam solucionadas em minutos.<\/p>\n

A verdadeira inova\u00e7\u00e3o n\u00e3o est\u00e1 apenas na computa\u00e7\u00e3o mais r\u00e1pida. Est\u00e1 em colocar esse poder anal\u00edtico diretamente nas m\u00e3os das pessoas que entendem o problema.<\/p>\n

ABG: Como tornar essa complexidade compreens\u00edvel para o usu\u00e1rio final?<\/strong><\/p>\n

Rachel Zack:<\/strong> A visualiza\u00e7\u00e3o \u00e9 onde os dados se tornam acion\u00e1veis. O Felt converte automaticamente diferentes formatos geoespaciais em uma visualiza\u00e7\u00e3o comum, permitindo que os usu\u00e1rios sobreponham informa\u00e7\u00f5es e comecem imediatamente a explorar padr\u00f5es por meio de mapas, mapas de calor e consultas em linguagem natural.<\/p>\n

Em vez de exigir conhecimento especializado em Sistemas de Informa\u00e7\u00e3o Geogr\u00e1fica (SIG) ou Linguagem de Consulta Estruturada (SQL), os usu\u00e1rios podem simplesmente fazer perguntas, como onde o equipamento est\u00e1 apresentando lentid\u00e3o ou onde o desempenho em campo difere, e a plataforma gera tanto a an\u00e1lise quanto a visualiza\u00e7\u00e3o. O aspecto colaborativo \u00e9 igualmente importante. As equipes podem anotar mapas, validar as descobertas com o pessoal de campo e determinar rapidamente se um resultado reflete um problema operacional real ou simplesmente uma anomalia nos dados.<\/p>\n

O objetivo \u00e9 aproximar as pessoas que entendem o problema de neg\u00f3cios dos dados. Quando isso acontece, as decis\u00f5es se tornam muito mais r\u00e1pidas e muito mais bem fundamentadas.<\/p>","protected":false},"excerpt":{"rendered":"

Especialistas discutem a transforma\u00e7\u00e3o de informa\u00e7\u00f5es agr\u00edcolas fragmentadas em insights pr\u00e1ticos, simplificando decis\u00f5es por meio de intelig\u00eancia espacial interoper\u00e1vel, integrada perfeitamente aos fluxos de trabalho existentes.<\/p>","protected":false},"author":1367,"featured_media":135030,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[1917,1604,1848,1886],"tags":[54],"class_list":["post-135029","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-abg-update-feature","category-agtech","category-executive-outlook","category-podcast","tag-featured-home"],"yoast_head":"\nAg Tech Talk Podcast: Using AI to Unlock the Value of Farm Data - AgriBusiness Global<\/title>\n<meta name=\"description\" content=\"Experts discuss transforming fragmented agricultural information into 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