{"id":134431,"date":"2026-05-13T13:39:13","date_gmt":"2026-05-13T17:39:13","guid":{"rendered":"https:\/\/www.agribusinessglobal.com\/?p=134431"},"modified":"2026-03-31T13:40:21","modified_gmt":"2026-03-31T17:40:21","slug":"the-future-of-biologicals-formulation","status":"publish","type":"post","link":"https:\/\/www.agribusinessglobal.com\/pt\/agtech\/the-future-of-biologicals-formulation\/","title":{"rendered":"O futuro da formula\u00e7\u00e3o de produtos biol\u00f3gicos"},"content":{"rendered":"

Em toda a cadeia de valor agr\u00edcola, a intelig\u00eancia artificial (IA) est\u00e1 remodelando rapidamente a forma como os produtos biol\u00f3gicos s\u00e3o descobertos, desenvolvidos e comercializados, permitindo que as empresas forne\u00e7am produtos com maior consist\u00eancia e relev\u00e2ncia para os agricultores.<\/p>\n

Dos dados \u00e0 descoberta<\/h2>\n

A pesquisa e o desenvolvimento biol\u00f3gicos tradicionais t\u00eam se baseado fortemente em triagem emp\u00edrica e testes de campo \u2014 um processo que pode levar anos e exigir milh\u00f5es de d\u00f3lares em investimento.<\/p>\n

Atualmente, a IA est\u00e1 ajudando a fazer descobertas de forma mais r\u00e1pida e inteligente.<\/p>\n

Um exemplo not\u00e1vel \u00e9 a parceria entre a Syngenta Seeds e a especialista em IA InstaDeep para acelerar o desenvolvimento de caracter\u00edsticas, aplicando grandes modelos de linguagem treinados em conjuntos de dados gen\u00f4micos massivos.<\/p>\n

Para a Syngenta, essa parceria transformou informa\u00e7\u00f5es biol\u00f3gicas brutas em insights acion\u00e1veis para acelerar os cronogramas de descoberta.<\/p>\n

Pesquisa e Desenvolvimento Microbiano e Valida\u00e7\u00e3o Impulsionadas por IA<\/h2>\n

O papel da IA na pesquisa tamb\u00e9m se estende \u00e0 descoberta e otimiza\u00e7\u00e3o microbiana.<\/p>\n

Considere a aquisi\u00e7\u00e3o da Lavie Bio pela ICL. A plataforma propriet\u00e1ria de IA MicroBoost da Lavie Bio utiliza aprendizado de m\u00e1quina e computa\u00e7\u00e3o avan\u00e7ada para acelerar a identifica\u00e7\u00e3o e otimiza\u00e7\u00e3o de candidatos microbianos para bioestimulantes e biopesticidas.<\/p>\n

A Dra. Elinor Erez, vice-presidente de P&D da ICL, afirma que a integra\u00e7\u00e3o da plataforma de IA da Lavie Bio com as equipes de P&D e de campo da ICL impulsionar\u00e1 a sustentabilidade em larga escala. Para ilustrar ainda mais o impacto da IA, o programa ICL-Lavie Bio j\u00e1 identificou mais de uma d\u00fazia de novos candidatos a microrganismos com potencial comercial. Esses candidatos foram selecionados computacionalmente com base em sua efic\u00e1cia, estabilidade e compatibilidade com fertilizantes \u2014 tudo isso antes de testes de campo extensivos \u2014, acelerando a prioriza\u00e7\u00e3o dos candidatos e reduzindo a incerteza.<\/p>\n

Al\u00e9m da Descoberta: Formula\u00e7\u00e3o, Previs\u00e3o e Implanta\u00e7\u00e3o<\/h2>\n

Modelos de aprendizado de m\u00e1quina que integram grandes conjuntos de dados ambientais e de solo para prever onde e quando determinados produtos biol\u00f3gicos ter\u00e3o melhor desempenho est\u00e3o ajudando as empresas do setor a comercializar seus produtos.<\/p>\n

Agr\u00f4nomos e produtores podem tomar decis\u00f5es baseadas em dados sobre o momento da aplica\u00e7\u00e3o, o local e os insumos complementares \u2014 uma capacidade cada vez mais importante, visto que os extremos clim\u00e1ticos e a variabilidade ambiental desafiam as estrat\u00e9gias tradicionais de aplica\u00e7\u00e3o.<\/p>\n

Essas capacidades preditivas s\u00e3o complementadas pela triagem guiada por IA para desempenho da formula\u00e7\u00e3o, efic\u00e1cia do encapsulamento e libera\u00e7\u00e3o controlada, abordando problemas comuns, como vida \u00fatil curta do produto e respostas inconsistentes em campo.<\/p>\n

Um exemplo not\u00e1vel \u00e9 o Parceria Syngenta-TraitSeq<\/a>, que utiliza a plataforma de aprendizado de m\u00e1quina da TraitSeq para analisar grandes volumes de dados biol\u00f3gicos complexos e descobrir biomarcadores moleculares preditivos \u2014 indicadores altamente espec\u00edficos do estado celular de uma planta que sinalizam respostas a bioestimulantes.<\/p>\n

Em um comunicado sobre a parceria, Camilla Corsi, chefe de Pesquisa e Desenvolvimento de Prote\u00e7\u00e3o de Cultivos da Syngenta, afirmou que a colabora\u00e7\u00e3o visa "revolucionar nossa pesquisa e obter insights importantes baseados em dados", ajudando a "desenvolver a pr\u00f3xima gera\u00e7\u00e3o de solu\u00e7\u00f5es sustent\u00e1veis mais rapidamente" e fortalecer o portf\u00f3lio de tecnologias agr\u00edcolas inovadoras da Syngenta.
\nA abordagem propriet\u00e1ria da TraitSeq combina aprendizado de m\u00e1quina, an\u00e1lise do transcriptoma e dados de RNA-Seq para prever como os insumos biol\u00f3gicos influenciam o desempenho das plantas, permitindo que os pesquisadores priorizem os candidatos a bioestimulantes mais promissores e avaliem seu potencial com mais rapidez e precis\u00e3o.<\/p>\n

Na mesma declara\u00e7\u00e3o, o Dr. Joshua Colmer, CEO da TraitSeq, afirmou como uma \u201cplataforma pode transformar o desenvolvimento de insumos agr\u00edcolas ao descobrir biomarcadores preditivos que conectam diretamente informa\u00e7\u00f5es moleculares ao desempenho de bioestimulantes\u201d, o que, por sua vez, visa apoiar a ado\u00e7\u00e3o de pr\u00e1ticas mais sustent\u00e1veis pelos agricultores por meio de produtos biol\u00f3gicos mais previs\u00edveis.<\/p>\n

Dinamismo do mercado e impactos comerciais<\/h2>\n

As implica\u00e7\u00f5es comerciais da integra\u00e7\u00e3o da IA em produtos biol\u00f3gicos s\u00e3o significativas.<\/p>\n

A IA acelera o tempo de lan\u00e7amento no mercado, reduzindo o n\u00famero de ciclos de desenvolvimento necess\u00e1rios para identificar candidatos promissores e refinar formula\u00e7\u00f5es. Para empresas que competem em um setor de biol\u00f3gicos cada vez mais concorrido, velocidade e previsibilidade se traduzem em vantagem competitiva.<\/p>\n

Al\u00e9m disso, a consist\u00eancia do desempenho \u2014 que antes era uma grande preocupa\u00e7\u00e3o entre os produtores \u2014 est\u00e1 melhorando. A modelagem preditiva e a an\u00e1lise avan\u00e7ada reduzem a variabilidade de desempenho que historicamente dificultava a ado\u00e7\u00e3o. Isso, por sua vez, ajuda os produtos biol\u00f3gicos a se integrarem de forma mais fluida \u00e0s estrat\u00e9gias de manejo de culturas, em vez de serem tratados como recursos \u201cexperimentais\u201d adicionais.<\/p>\n

O papel da IA na valida\u00e7\u00e3o e demonstra\u00e7\u00e3o de produtos tamb\u00e9m contribui para a conformidade regulat\u00f3ria. Ao centralizar e padronizar os dados gerados, as plataformas de IA podem ajudar a criar os pacotes de evid\u00eancias que os \u00f3rg\u00e3os reguladores exigem cada vez mais para comprovar a efic\u00e1cia e a seguran\u00e7a dos produtos.<\/p>\n

Desafios cont\u00ednuos e o caminho a seguir<\/h2>\n

Apesar das promessas da IA, ainda existem desafios. Os sistemas biol\u00f3gicos s\u00e3o complexos e as previs\u00f5es computacionais ainda exigem valida\u00e7\u00e3o rigorosa em campo.<\/p>\n

A padroniza\u00e7\u00e3o de dados em gen\u00f4mica, metabol\u00f4mica, fen\u00f4mica e fontes ambientais \u00e9 uma barreira t\u00e9cnica. A transpar\u00eancia nas informa\u00e7\u00f5es obtidas por IA \u00e9 fundamental para a confian\u00e7a dos \u00f3rg\u00e3os reguladores e dos produtores.<\/p>\n

Ao tornar a descoberta mais eficiente, o desempenho mais previs\u00edvel e a implementa\u00e7\u00e3o mais precisa, a IA est\u00e1 ajudando os produtos biol\u00f3gicos a evolu\u00edrem de alternativas de nicho para componentes confi\u00e1veis do manejo integrado de culturas. \u00c0 medida que os sistemas de IA e os conjuntos de dados biol\u00f3gicos crescem, a linha divis\u00f3ria entre a inova\u00e7\u00e3o biol\u00f3gica e a intelig\u00eancia digital continuar\u00e1 a impulsionar tanto a produtividade quanto a sustentabilidade.<\/p>\n

Leia mais artigos como este na AgriBusiness Global.\u00a0An\u00e1lise Detalhada de Produtos Biol\u00f3gicos 2026<\/a>.<\/strong><\/p>","protected":false},"excerpt":{"rendered":"

O setor de produtos biol\u00f3gicos est\u00e1 entrando em uma nova era de inova\u00e7\u00e3o gra\u00e7as \u00e0 intelig\u00eancia artificial.<\/p>","protected":false},"author":2163,"featured_media":134453,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1917,1604,1786],"tags":[2005],"class_list":["post-134431","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-abg-update-feature","category-agtech","category-biologicals","tag-2026-biologicals-deep-dive"],"yoast_head":"\nThe Future of Biologicals Formulation - AgriBusiness Global<\/title>\n<meta name=\"description\" content=\"The biologicals sector is entering a new era of innovation thanks to artificial intelligence.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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