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
Citations
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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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Management and control applications in Agriculture domain via a Future Internet Business-to-Business platform
Sokratis Barmpounakis,Alexandros Kaloxylos,Aggelos Groumas,Lampros Katsikas,Vasileios Sarris,Konstantina Dimtsa,Fabiana Fournier,Eleni Antoniou,Nancy Alonistioti,Sjaak Wolfert +9 more
TL;DR: In this paper, the authors present a novel business-to-business collaboration platform from the agri-food sector perspective, which aims to facilitate the collaboration of numerous stakeholders belonging to associated business domains, in an effective and flexible manner.
Perspectives of research and application of big data on smart agriculture.
TL;DR: The background of the big data, the relation between big data and IOT, basic connotation and key technology, and the demands of big data in the main applicable fields and its influence on the smart agriculture are introduced.
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Breeding and Genetics Symposium: really big data: processing and analysis of very large data sets.
TL;DR: Modern animal breeding data sets are large and getting larger, due in part to recent availability of high-density SNP arrays and cheap sequencing technology, and data mining algorithms applied to large data sets may help identify unexpected relationships in the data, and improved visualization tools will provide insights.
Book
Farm Business Management: Analysis of Farming Systems
TL;DR: In this article, the authors present a review and summary of the state of the art in the area of part farm problems (inventory, replacement, critical paths, and queuing).
Technological innovation of agricultural information service in the age of big data.
TL;DR: The development and application prospects of big data on the field of agricultural information service are bright, which will accelerate the agricultural informationization, and promote the effective combination of industryuniversity-research, and is expected to realize breakthroughs in technology and application soon.