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Smart Farms for a Sustainable and Optimized Model of Agriculture

机译：可持续和优化农业模式的智能农场

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Nowadays, public and private companies, are in a constant race to increase profitability, chasing the costs reduction while facing the market competition. Also in the agriculture an analysis of cost-effectiveness, measuring technological innovation and profitability becomes necessary. The 'smart farm' model exploits information coming from technologies like sensors, intelligent systems and the Internet of Things (IoT) paradigm to understand the influential and non-influential factors while considering environmental, productive and structural data coming from a large number of sources. The goal of this work is to design and deploy practical tasks that exploit heterogeneous real datasets with the aim to forecast and reconstruct values using and comparing innovative machine learning techniques with more standard ones. The application of these methodologies, in fields that are only apparently refractory to the technology such as the agricultural one, shows that there are ample margins for innovation and investment while supporting requests and needs coming from companies that wish to employ a sustainable and optimized agricultural industrial business.

机译：如今，公共和私营公司，在不断的竞争中，增加盈利能力，在面临市场竞争时减少成本。同样在农业中，对成本效益的分析，衡量技术创新和盈利能力。该“智能农场”模式利用来自如传感器，智能系统与物联网（IOT）模式的互联网技术来理解影响力和非影响因素，同时考虑环境，生产和结构数据从大量的来源的信息。这项工作的目标是设计和部署利用异构实际数据集的实用任务，其中目的是使用和比较更多标准的创新机器学习技术来预测和重建价值。这些方法的应用在唯一对农业等技术的难以难以难以难以难以难以进行的，因为创新和投资有充足的利润，同时支持来自希望雇用可持续和优化的农业工业的公司的要求和需求商业。

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《AEIT International Conference》|2018年|782 p. :|共6页
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作者
Fabrizio Balducci; Davide Fomarelli; Donato Impedovo; Andrea Longo; Giuseppe Pirlo;
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原文格式 PDF
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中图分类 F273.1-532;
关键词
machine learning; sensors; IoT; smart farms; agriculture;

机译：机器学习;传感器;物联网;智能农场;农业;

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Smart Farms for a Sustainable and Optimized Model of Agriculture

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