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Agriculture 2018, 8(4), 47; https://doi.org/10.3390/agriculture8040047

Smart Machines, Remote Sensing, Precision Farming, Processes, Mechatronic, Materials and Policies for Safety and Health Aspects

1
Department of Agricultural and Forestry Sciences (DAFNE), University of Tuscia, Via S. Camillo De Lellis, 1-01100 Viterbo, Italy
2
National Institute for Insurance against Accidents at Work (INAIL), Via Fontana Candida, 1-00078 Monte Porzio Catone (RM), Italy
3
Department of Agriculture, University of Sassari, Viale Italia, 39-07100 Sassari, Italy
*
Author to whom correspondence should be addressed.
Received: 12 March 2018 / Revised: 14 March 2018 / Accepted: 16 March 2018 / Published: 23 March 2018
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Abstract

The purpose of this Special Issue is to publish high-quality research papers, as well as review articles, addressing recent advances on systems, processes, and materials for work safety, health, and environment. Original, high-quality contributions that have not yet been published, or that are not currently under review by other journals or peer-reviewed conferences, have been sought. The main topics have been the protection system aimed to agricultural health and safety especially applied to mechanization sector (harvester, chippers), often involved in accidents at work, in the context of Directive 2006/42/EC, and to other families of risk as the chemical one and issues pertinent to safety. Methodologies for gradual and sustainable safety improvements on farms have been investigated in the vision of preliminary applications. Furthermore, the application of technologies aimed to the improvement and facilitation of operations in the agriculture sector as monitoring, precision farming, internet of things, application of evolved networks and machines of new conception. View Full-Text
Keywords: Agriculture Engineering; mechatronic; sensors; safety engineering; precision farming Agriculture Engineering; mechatronic; sensors; safety engineering; precision farming
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Colantoni, A.; Monarca, D.; Laurendi, V.; Villarini, M.; Gambella, F.; Cecchini, M. Smart Machines, Remote Sensing, Precision Farming, Processes, Mechatronic, Materials and Policies for Safety and Health Aspects. Agriculture 2018, 8, 47.

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