The database compiles information on the adoption of digital innovations in agriculture in India, sourced from surveys conducted between June and November 2023. It includes data gathered from 69 organizations, encompassing details about organizational profiles, types of digital interventions, business models, perceived impact, strategic collaborations, as well as skills in data, analysis, involved ecosystems, and obstacles to development
The dataset provides detailed information regarding the implementation of digital technologies in the agricultural domain. It encompasses variables spanning a wide spectrum, from organizational details to the potential impact on various stakeholders within the agricultural sector. Variables include information about the organization and associated role types, as well as specifics about the utilization and adoption of digital innovations in agriculture. Aspects related to data capture, analysis, and types of data processed are explored, alongside tools employed for these purposes. Furthermore, details about specific interventions, associated business models, involved end-users, and potential economic, social, and environmental impacts are presented. It consists of data from 50 organizations in Kenya, covering technical aspects such as agricultural data capture and analysis, to broader issues like perceived and real barriers to adopting digital technologies in the agricultural sector. This diversity provides a comprehensive view of the implementation and potential impact of digital innovation in agriculture.
Se llevó a cabo un estudio para analizar la red de actores y proveedores de información digital en sistemas agroalimentarios, identificando colaboraciones, tipos de datos, desafíos en su gestión y habilidades en su análisis. Se recopiló información de 490 contactos de diferentes sectores en Guatemala y Honduras, de éstos se seleccionaron 164 y entre ellos se entrevistaron 62 actores. La encuesta consta de ocho secciones con 58 preguntas, abordando desde detalles organizativos hasta impacto económico y social de intervenciones digitales. Su objetivo es cerrar la brecha digital y fortalecer capacidades en la región.
e-Agrology is a system that leverages data generated in the agricultural production cycle to optimize resources and improve the decision-making process in the field. Furthermore, linking e-agrology terms with tools such as OLS, AGROVOC and RHoMIS would help increase the reach of this tool. e-Agrology es un sistema que aprovecha los datos generados en el ciclo productivo agrícola para optimizar los recursos y mejorar la toma de decisiones en el campo. Además, relacionar los términos de e-agrology con herramientas como OLS, AGROVOC y RHoMIS ayudaría a aumentar el alcance de esta herramienta.
