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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1188921| Título: | Challenges in integrating digital agriculture solutions. |
| Autoria: | SILVA, J. P. da![]() ![]() EVANGELISTA, S. R. M. ![]() ![]() BARBEDO, J. G. A. ![]() ![]() ROMANI, L. A. S. ![]() ![]() |
| Afiliação: | JOÃO PAULO DA SILVA; SILVIO ROBERTO MEDEIROS EVANGELISTA, CNPTIA; JAYME GARCIA ARNAL BARBEDO, CNPTIA; LUCIANA ALVIM SANTOS ROMANI, CNPTIA. |
| Ano de publicação: | 2026 |
| Referência: | In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 17., CONGRESSO BRASILEIRO DE AGRICULTURA DE PRECISÃO DIGITAL, 11., 2026, Porto Alegre. Proceedings [...]. Monticello: International Society of Precision Agriculture, 2026. |
| Páginas: | 9 p. |
| Conteúdo: | The economy digital transformation started, mainly from the beginning of the XXI century, a new era in which data has become a highly valuable input, giving rise to disruptive technologies that are changing the way business chains operate. As one of the main food, fiber and agriculturebased energy world providers, Brazil is already taking advantage of this movement, and Brazilian AgTechs are expected to help changing its productive model toward a more digital and efficient direction, event considering that digital agricultural solutions still face relevant challenges that goes from financial costs for farmers to adopt their solutions to operational barriers to adopt different solutions to digitalize several steps of the agricultural life cycle. The objective of this study was to describe the Brazilian AgTechs ecosystem operating under an integrative technological context that provides solutions for distinct steps or features of the agricultural cycle. This study explored the Radar AgTech 2024 database, selecting, from the set of 1,969 AgTechs, 195 of them classified as on-farm companies classified as (i) platforms for systems, solutions and data integration; (ii) farm management systems providers; and (iii) telemetry and automation providers. By segmenting the agricultural life cycle in 10 steps or features, it was assessed, through information extracted from AgTechs’ websites, the information Score () that account for the degree of complexity of their solutions considering the number of features they can attend and assessed it using frequency analysis and similarity binary comparison. The findings showed a positive correlation between Gross Domestic Product (GDP) and the number of higher-level teaching institutions with the number of integrative AgTechs (80% and 75%, respectively). São Paulo state (with 28), and the southeast region as well (with 38), concentrate most AgTechs with an integrative profile. From the set of agricultural steps and features covered by them, their frequency in the referred solutions resides individually between ~10% and ~55%. Beyond that, the joint set of features covered by each AgTech showed a median (50%) of 3 (out of 10), reaching 5 at 75% percentile. A coupled comparison of similarities also floated between a minimum of 8% (between financial management solutions and water and irrigation management solutions) and a maximum of 45% (between financial management solutions and crop cycle planning solutions). In summary, In Brazil, wealthier regions and those having more highereducational institutions concentrate most integrative AgTechs. In terms of solutions complexity, wealthier states with a higher number of higher-level teaching institutions tend to have AgTechs which could attend more steps and features of the agricultural life cycle. The technological focus of Brazilian integrative AgTechs concentrates on financial management and monitoring, while water management and irrigation figures as the least addressed one. Nonetheless, the integrative context is still sub explored and heterogenous, an average similarity of 26%. Thus, users still need to seek for similar companies and compare if the set of features covered by their solutions can attend the technological demand. |
| NAL Thesaurus: | Decision support systems |
| Palavras-chave: | Agricultura digital Agricultura inteligente Etapas do ciclo agrícola Digitalização Sistema de apoio à decisão Digital agriculture Smart farming Agricultural cycle steps Digitalization |
| Notas: | ICPA 2026, ConBAP 2026. |
| Tipo do material: | Artigo em anais e proceedings |
| Acesso: | openAccess |
| Aparece nas coleções: | Artigo em anais de congresso (CNPTIA)![]() ![]() |
Arquivos associados a este item:
| Arquivo | Tamanho | Formato | |
|---|---|---|---|
| AA-Challenges-Integrating-CONBAP-2026.pdf | 601,3 kB | Adobe PDF | Visualizar/Abrir |







