Agro-informatics at Scale: Revolutionising Food and Agriculture through Data-Driven Insight

Agro-informatics, a powerful approach integrating information technology with agricultural data management, analysis, and application, offers a revolutionary solution to tackle critical global challenges like improving nutrition, agricultural productivity and sustainability, rural livelihoods, and global food security. Agro-informatics depends on reliable, timely, high-resolution, integrated location-based information across diverse sectors, including Food Security, Crops, Vegetation, Livestock, Agricultural Trade and Production, Land Cover/Use, Soil, Water, Fisheries, Forestry, Socioeconomic, Climate, Topography, Environment, Emergencies and Infrastructure. However, the complexity and fragmentation of heterogeneous data sources present a significant challenge. Empowered by big data and the cloud, agro-informatics at scale is revolutionising food and agriculture through data-driven insight. Near real-time data analysis can identify potential threats such as droughts, pests, and diseases, enabling timely interventions and mitigating their impact. This presentation explores how the Food and Agriculture Organization (FAO) is tackling these challenges, building a unified environment for accessing, managing, visualising and analysing diverse datasets. We delve into the approach and architecture, detailing the tools, infrastructure and techniques used to collect, store, process, integrate, federate, and analyse diverse agricultural data sets. We also acknowledge the challenges associated with developing and operating such a platform at scale. We showcase the transformative power of agro-informatics at scale by exploring use cases in early warning, decision support, intervention design, monitoring, and evaluation. Finally, we outline the data governance and operation of the platform.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-27
DOI
https://doi.org/10.5281/zenodo.14259584
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Agro-informatics at Scale: Revolutionising Food and Agriculture through Data-Driven Insight

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Agro-informatics at Scale: Revolutionising Food and Agriculture through Data-Driven Insight

article en

Abstract

Agro-informatics, a powerful approach integrating information technology with agricultural data management, analysis, and application, offers a revolutionary solution to tackle critical global challenges like improving nutrition, agricultural productivity and sustainability, rural livelihoods, and global food security. Agro-informatics depends on reliable, timely, high-resolution, integrated location-based information across diverse sectors, including Food Security, Crops, Vegetation, Livestock, Agricultural Trade and Production, Land Cover/Use, Soil, Water, Fisheries, Forestry, Socioeconomic, Climate, Topography, Environment, Emergencies and Infrastructure. However, the complexity and fragmentation of heterogeneous data sources present a significant challenge. Empowered by big data and the cloud, agro-informatics at scale is revolutionising food and agriculture through data-driven insight. Near real-time data analysis can identify potential threats such as droughts, pests, and diseases, enabling timely interventions and mitigating their impact. This presentation explores how the Food and Agriculture Organization (FAO) is tackling these challenges, building a unified environment for accessing, managing, visualising and analysing diverse datasets. We delve into the approach and architecture, detailing the tools, infrastructure and techniques used to collect, store, process, integrate, federate, and analyse diverse agricultural data sets. We also acknowledge the challenges associated with developing and operating such a platform at scale. We showcase the transformative power of agro-informatics at scale by exploring use cases in early warning, decision support, intervention design, monitoring, and evaluation. Finally, we outline the data governance and operation of the platform.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 31%
Smart Agriculture and AI
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Agro-informatics at Scale: Revolutionising Food and Agriculture through Data-Driven Insight · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS