Betty Jazmín Gutiérrez Rodríguez

Treinta años de investigación e innovación al servicio del campo colombiano se reúnen, por primera vez, en un análisis cienciométrico riguroso que mide, mapea y reflexiona sobre la generación de conocimiento de AGROSAVIA. Apoyado en bases de datos como Scopus, Web of Science, SciELO y Google Scholar, y enriquecido con métricas alternativas, este libro reconstruye la trayectoria científica y tecnológica de la corporación entre 1993 y 2022: su evolución temática, sus principales redes de coautoría nacional e internacional, sus aliados estratégicos, sus contribuciones a los Objetivos de Desarrollo Sostenible y el lugar que hoy ocupa entre los institutos nacionales de investigación agropecuaria de América Latina y el Caribe. Más allá del recuento histórico, la obra propone una mirada hacia adelante. Articula los retos de la gestión del conocimiento en I+D+i —desde los enfoques de bioeconomía, agricultura climáticamente inteligente, seguridad alimentaria, nuevos sistemas agroalimentarios e inclusión social— con las transformaciones que la ciencia abierta y la inteligencia artificial están imponiendo a la práctica investigativa. Dirigido a investigadores, gestores de ciencia, formuladores de política pública y comunidades académicas, este es un libro escrito tanto para celebrar lo logrado como para preguntarse, con honestidad y método, hacia dónde debe orientarse la generación de conocimiento agropecuario en las próximas décadas.

This research focused on the use of technology to facilitate the management of resources, products, and knowledge services in research, development, and innovation (R+D+i) organizations. Specifically, it highlighted how Current Research Information Systems (CRIS) could be employed for this purpose. The study aimed to develop and implement a CRIS information system at the AGROSAVIA Research Center, with an emphasis on integrating the system with institutional repositories and external/internal systems to manage scientific and technological knowledge assets effectively.Methods:The process of creating the CRIS involved several stages: planning, requirements analysis, system design, development, and implementation. Key elements included the deployment of system interfaces for the target audience (stakeholders of the National System of Science, Technology, and Innovation) and the use of a recognized data model (CERIF standard) to enhance metadata generation, ensure standardization, and enable interoperability with external and internal systems.Results:The system was designed with two primary interfaces: a public version for the external scientific community and a corporate version for internal users of the research center. The CERIF-based data model facilitated repository structuring and the loading of an initial data baseline, supporting effective data management and decision-making processes.Conclusion:This study provides a valuable case for those looking to build information systems for knowledge management. The CRIS developed at AGROSAVIA acted as a tool for process evaluation, scientific communication, and dissemination, offering key insights into the technological architecture, data management model, and technological deployment required for such systems

Crop yield variations in the Orinoquía region, Colombia, are primarily associated with extreme precipitation events. Therefore, studying crop water supplies under naturally variable climate conditions is fundamental in an actual climatic change context. Rainfall data collected in the Quenane...

Water stress due to soil water deficit is one of the limitations in the soybean production, which can be detected with multivariate statistical analysis and spectral reflectance signals, in the visible and near infrared range. This work was conducted to determine a spectral pattern during the stages of plant development from three conditions of soil water content. Cross validation was used for validation of the classification model, with an accuracy of 82.5%, and the model reached a mean of 82 and 90% of sensitivity and specificity, respectively, at the phenological state of pod filling. The regions with the highest correlation between factors and wavelengths were located at 400-600 nm and 1850-2100 nm, which are related with the peaks of water energy absorbance associated to the hydric state of the plant