L
Lan Ge
Researcher at Wageningen University and Research Centre
Publications - 43
Citations - 1934
Lan Ge is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Big data & Decision support system. The author has an hindex of 12, co-authored 42 publications receiving 1323 citations.
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Journal ArticleDOI
Big Data in Smart Farming – A review
TL;DR: In this paper, the authors present a review of the state-of-the-art of Big Data applications in Smart Farming and identify the related socio-economic challenges to be addressed.
ReportDOI
Blockchain for agriculture and food: Findings from the pilot study
Lan Ge,Christopher Brewster,Jacco Spek,Anton Smeenk,Jan Top,Frans van Diepen,Bob Klaase,Conny Graumans,Marieke de Ruyter de Wildt +8 more
TL;DR: The Blockchain for Agrifood project as discussed by the authors is a public-private partnership (PPP) project that aims to contribute to a better understanding of the blockchain technology and its implications for agrifood, especially how it can impact specific aspects of supply chains and what is needed to apply BCT in agri-food chains.
Journal ArticleDOI
Why we need resilience thinking to meet societal challenges in bio-based production systems
Lan Ge,Niels P. R. Anten,Ingrid D. E. van Dixhoorn,Peter H. Feindt,Koen Kramer,Rik Leemans,Miranda P.M. Meuwissen,Hans A.M. Spoolder,Wijnand Sukkel +8 more
TL;DR: In this paper, the authors argue for stronger adoption of resilience thinking into research on bio-based production systems and show how applying resilience thinking helps to address both the production and the vulnerability challenges through interdisciplinary collaboration and cross-fertilization.
Journal ArticleDOI
A modelling approach to support dynamic decision-making in the control of FMD epidemics
TL;DR: An integrated epidemic-economic modelling approach to support dynamic decision-making in controlling FMD epidemics and generates more realistic estimation of the costs of overreacting or underreacting in choosing control options.
Journal ArticleDOI
The Triviality of Measuring Ultimate Outcomes: Acknowledging the Span of Direct Influence
Giel Ton,Sietze Vellema,Lan Ge +2 more
TL;DR: In this article, the authors argue that, rather than trying to measure precise net effects on farmer income, the focus should be on detailed measurement of more immediate outcomes in terms of knowledge and implementation of good agricultural practices.