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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Journal ArticleDOI
Fault Analysis System for Agricultural Machinery Based on Big Data
TL;DR: This novel agricultural engineering machinery management analysis platform currently has access to 100 million data points, with system access for capacity expansion, and provides fault detection and maintenance examples.
Journal ArticleDOI
ASAS-NANP SYMPOSIUM: Applications of machine learning for livestock body weight prediction from digital images
TL;DR: A review of CV-based and ML/DL-based body weight prediction methods can be found in this article, where the authors discuss their strengths, weaknesses, and industry applicability potential.
Journal ArticleDOI
The Effects of Individual Variables, Farming System Characteristics and Perceived Barriers on Actual Use of Smart Farming Technologies: Evidence from the Piedmont Region, Northwestern Italy
Federica Caffaro,Eugenio Cavallo +1 more
TL;DR: Low levels of education and working on-farm alone were positively associated with perceived economic barriers, which in turn were negatively associated with the adoption of SFTs, and farm size had a positive direct effect on SFT adoption.
Proceedings ArticleDOI
A Smart-Farming Ontology for Attribute Based Access Control
TL;DR: A smart farming ontology is developed that helps represent various physical entities like sensors, workers on the farm, and their interactions with each other and an Attribute Based Access Control (ABAC) system is implemented to dynamically evaluate access control requests.
Proceedings ArticleDOI
Analysis of the variables that affect the intention to adopt Precision Agriculture for smart water management in Agriculture 4.0 context
TL;DR: The proposed models show that IoT and Industry 4.0 methods can bring great improvements in planning, control and optimization of agricultural operations and smart water management.
References
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Competitive advantage: creating and sustaining superior performance
TL;DR: Porter's concept of the value chain disaggregates a company into "activities", or the discrete functions or processes that represent the elemental building blocks of competitive advantage as discussed by the authors, has become an essential part of international business thinking, taking strategy from broad vision to an internally consistent configuration of activities.
Book
Competitive Advantage: Creating and Sustaining Superior Performance
TL;DR: Porter's concept of the value chain disaggregates a company into "activities", or the discrete functions or processes that represent the elemental building blocks of competitive advantage as mentioned in this paper, has become an essential part of international business thinking, taking strategy from broad vision to an internally consistent configuration of activities.
Book
Process Innovation: Reengineering Work Through Information Technology
TL;DR: In this article, Davenport provides numerous examples of firms that have succeeded or failed in combining business change and technology initiatives and highlights the roles of new organizational structures and human resource programs in developing process innovation.
Posted Content
The Mechanisms of Governance
TL;DR: The Mechanisms of Governance as discussed by the authors is an important work in the field of transaction cost economics, a branch of the New Institutional Economics with which Oliver Williamson is especially associated.
Book
The mechanisms of governance
TL;DR: The Mechanisms of Governance as discussed by the authors is an important work in the field of transaction cost economics, a branch of the New Institutional Economics with which Oliver Williamson is especially associated.