Digital agriculture ecosystem: Integrated SAP technologies across the farm-to-consumer value chain

This article examines the transformative role of advanced enterprise technologies in revolutionizing agricultural supply chains from farm to consumer. The article shows how digital infrastructure, data-driven decision support systems, supply chain optimization technologies, and artificial intelligence applications are reshaping traditional agricultural operations across diverse geographical and operational contexts. Through analysis of implementation data, case studies, and market research, the article demonstrates how integrated technological solutions enable seamless stakeholder coordination, real-time data sharing, predictive analytics, and blockchain-enabled traceability throughout the agricultural value chain. The findings reveal significant improvements in productivity, efficiency, sustainability, and food security resulting from comprehensive digital transformation initiatives. The article also identifies key challenges and opportunities that will influence future trajectories in agricultural technology adoption, suggesting promising avenues for continued innovation in agri-tech enterprise systems to enhance the resilience and economic viability of global food systems.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17339845
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital agriculture ecosystem: Integrated SAP technologies across the farm-to-consumer value chain

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

Digital agriculture ecosystem: Integrated SAP technologies across the farm-to-consumer value chain

article en

Abstract

This article examines the transformative role of advanced enterprise technologies in revolutionizing agricultural supply chains from farm to consumer. The article shows how digital infrastructure, data-driven decision support systems, supply chain optimization technologies, and artificial intelligence applications are reshaping traditional agricultural operations across diverse geographical and operational contexts. Through analysis of implementation data, case studies, and market research, the article demonstrates how integrated technological solutions enable seamless stakeholder coordination, real-time data sharing, predictive analytics, and blockchain-enabled traceability throughout the agricultural value chain. The findings reveal significant improvements in productivity, efficiency, sustainability, and food security resulting from comprehensive digital transformation initiatives. The article also identifies key challenges and opportunities that will influence future trajectories in agricultural technology adoption, suggesting promising avenues for continued innovation in agri-tech enterprise systems to enhance the resilience and economic viability of global food systems.

Zenodo (CERN European Organization for Nuclear Research)
Clariant (Switzerland) (CH)
Zero hunger
Openalex Percentile: Top 31%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digital agriculture ecosystem: Integrated SAP technologies across the farm-to-consumer value chain · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS