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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Book
The New Oil: Using Innovative Business Models to turn Data Into Profit
TL;DR: Van 't Spijker as discussed by the authors discusses how societal and technological changes have turned businesses and individuals into new data consumers and data into a valuable asset, and how various business models allow organizations to best leverage the value that data creates in these new markets.
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An Intelligent Controlling System for Greenhouse Environment Based on the Architecture of the Internet of Things
Proceedings ArticleDOI
RFID deployment and use in the dairy value chain: Applications, current issues and future research directions
Samuel Fosso Wamba,Alison Wicks +1 more
TL;DR: This exploratory study seeks to present current applications and issues related to RFID's adoption in the dairy industry and discuss future research directions.
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Simulation of hail effects on crop yield losses for corn-belt states in USA
Agricultural big data: utilisation to discover the unknown and instigate practice change
TL;DR: The paper draws on the concepts of big data and networked learning to provide a base model on which digital platforms might operate to provide efficiencies in the on-farm decision-making process, as well as enhance the power of those decisions.