Big Data in Smart Farming – A review
TLDR
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.About:
This article is published in Agricultural Systems.The article was published on 2017-05-01 and is currently open access. It has received 1477 citations till now. The article focuses on the topics: Big data & Supply chain.read more
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An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges
TL;DR: The IoT ecosystem is presented and how the combination of IoT and DA is enabling smart agriculture, and future trends and opportunities are provided which are categorized into technological innovations, application scenarios, business, and marketability.
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Remote sensing for agricultural applications: A meta-review
TL;DR: In this paper, the authors present the agronomical variables and plant traits that can be estimated by remote sensing, and describe the empirical and deterministic approaches to retrieve them, and provide a synthesis of the emerging opportunities that should strengthen the role of remote sensing in providing operational, efficient and long-term services for agricultural applications.
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Agricultural intensification reduces microbial network complexity and the abundance of keystone taxa in roots
Samiran Banerjee,Florian Walder,Lucie Büchi,Marcel Meyer,Alain Y. Held,Andreas Gattinger,Andreas Gattinger,Thomas Keller,Raphaël Charles,Marcel G. A. van der Heijden +9 more
TL;DR: It is demonstrated that agricultural intensification reduces network complexity and the abundance of keystone taxa in the root microbiome, and this is the first study to report mycorrhizal keystoneTaxa for agroecosystems.
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A review on the practice of big data analysis in agriculture
TL;DR: A review of current studies and research works in agriculture which employ the recent practice of big data analysis, showing that the availability of hardware and software, techniques and methods for big dataAnalysis, as well as the increasing openness ofbig data sources, shall encourage more academic research, public sector initiatives and business ventures in the agricultural sector.
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Introduction-Platforms and Infrastructures in the Digital Age
TL;DR: This editorial reviews key insights from the literature on digital infrastructures and platforms, present emerging research themes, highlight the contributions developed from each of the six articles in this special issue, and conclude with suggestions for further research.
References
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Integrating supply chain and network analyses: The study of netchains
TL;DR: In this article, the authors introduce the concept of netchain analysis, which is a set of networks comprised of horizontal ties between firms within a particular industry or group, which are sequentially arranged based on vertical ties among firms in different layers.
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A formal definition of Big Data based on its essential features
TL;DR: The authors propose a new definition for the term that reads as follows: “Big Data is the Information asset characterized by such a High Volume, Velocity and Variety to require specific Technology and Analytical Methods for its transformation into Value.”
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Adaptive management in agricultural innovation systems: The interactions between innovation networks and their environment
TL;DR: In this article, the authors investigate effective reformism: strategies that innovation networks deploy to create changes in their environment in order to establish a more conducive context for the realization and durable embedding of their innovation projects.
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From Data to Decisions: A Value Chain for Big Data
H. G. Miller,P. Mork +1 more
TL;DR: With exponential growth in data, enterprises must act to make the most of the vast data landscape-to thoughtfully apply multiple technologies, carefully select key data for specific investigations, and innovatively tailor large integrated datasets to support specific queries and analyses.
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Systemic perspectives on scaling agricultural innovations. A review
Seerp Wigboldus,Laurens Klerkx,Cees Leeuwis,Marc Schut,Marc Schut,Sander Muilerman,Sander Muilerman,Henk Jochemsen +7 more
TL;DR: In this paper, the authors propose a method that connects the heuristic framework of the multi-level perspective on socio-technical transitions (MLP) to a philosophical "modal aspects" framework, with the objective of elucidating the connectedness between technologies, processes and practices.