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Project deliverable . 2017
License: CC BY
Data sources: Datacite
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Other literature type . 2017
License: CC BY
Data sources: ZENODO
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Industry Solutions On Smart Farming Technology

Authors: Sandra L. Wolters; Thanos Balafoutis; Spyros Fountas; Frits K. van Evert;

Industry Solutions On Smart Farming Technology

Abstract

Smart AKIS project aims at examining the suitability and use of Smart Farming Technologies (SFT) in the EU Agriculture involving farmers, the agricultural machinery industry, academia, research centers, agricultural engineering and public bodies. The purpose of this document is to present the report on methodology, standards and current findings within the Smart-AKIS project. The report provides a selection guide, detailing the issues that have to be taken into account in order to ensure the collection of data in a homogeneous way, and avoid misconceptions. This document is an update on the progress made in the data assessment that is currently ongoing on captuing industrial products related to SFTs that have not yet reached mainstreaming agriculture. This report is organized in three chapters. The first chapter will introduce current work on the Smart-Akis project as well as the objective of this document in the overall smart-akis framework. The second chapter will present the methodological approach that has taken to reach the industrial partners, the specific questions and the analysis procedure, wjhile the last chapter will present the interim results. The last chapter summarizes conclusions

Keywords

smartfarming, agricultural equipment, agtech, precisionagriculture

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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