智慧农业大数据存储与分析

Fabrice Nolack Fote, Saïd Mahmoudi, Amine Roukh, S. Mahmoudi
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引用次数: 13

摘要

智能农业一直被称为农业,但如今,情况已不再如此。如今,智能农业由精准农业(PA)和精准畜牧业(PLF)组成。大数据技术和算法可以用于管理和监控与任何农场相关的数据。精准畜牧业涉及遗传、动物福利、动物营养、繁殖、物种保护和动物健康。本文介绍了可用于智能农业应用的大数据工具的总体概述。新技术提供了许多工具,用于促进数据收集管理、风险最小化、气候变化预测、安全存储和分析等。大数据工具的主要目的是提高产量,以提供更高数量的产品,同时确保更高质量的产品。然而,仍有一些问题需要解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Storage and Analysis for Smart Farming
Smart Farming has always been referred to as agriculture, but nowadays, that is no longer the case. Today, Smart farming is made up of Precision Agriculture (PA) and Precision Livestock Farming (PLF). Big Data technologies and algorithms can be relevant for managing and monitoring data related to any farm. Precision livestock farming concerns genetics, animal welfare, animal nutrition, reproduction, species protection and animal health. This paper presents a general overview of Big Data tools that can be applied in a smart farming application. New Technologies are offering many tools used to facilitate the management of data collection, risk minimization, climate change anticipation, secure storage and analysis, etc. The main purpose of Big Data tools is to increase productions in order to offer higher quantities while ensuring higher quality products. However, they remain some issues that need to be accomplished.
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