智慧农业中的数字化与大数据研究综述

IF 3.6 2区 管理学 Q2 BUSINESS
Jaqueline Iaksch, Ederson Fernandes, Milton Borsato
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引用次数: 28

摘要

由于人口增长和气候变化等因素,农业正面临越来越大的挑战。智能农业能够使用详细的数字信息来指导农业价值链上的决策。已经应用了新的技术和解决办法,以提供辅助信息收集和处理的替代办法,从而有助于提高农业生产力。因此,本文的主要目的是对数字化和大数据在智能农业中的应用进行文献计量分析。共发现2401篇文章,根据ProKnow-C方法标准,选择并分析了39篇出版物。此外,认识到该主题的主要解决方案和机会,旨在指导未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digitalization and Big data in smart farming – a review

Agriculture is facing increasing challenges due to several factors such as population growth and climate change. Smart Farming is enabling the use of detailed digital information to guide decisions along the agricultural value chain. New technologies and solutions have been applied to provide alternatives to assist in information gathering and processing, and thereby contribute to increased agricultural productivity. Thus, the main objective of this article is to present a bibliometric analysis regarding digitalization and Big Data applications in Smart Farming. A total of 2401 articles were found and, based on ProKnow-C methodology criteria, thirty-nine publications were selected and analysed. Furthermore, the main solutions and opportunities about the topic were recognized aiming to direct future research.

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来源期刊
Journal of Management Analytics
Journal of Management Analytics SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
13.30
自引率
3.40%
发文量
14
期刊介绍: The Journal of Management Analytics (JMA) is dedicated to advancing the theory and application of data analytics in traditional business fields. It focuses on the intersection of data analytics with key disciplines such as accounting, finance, management, marketing, production/operations management, and supply chain management. JMA is particularly interested in research that explores the interface between data analytics and these business areas. The journal welcomes studies employing a range of research methods, including empirical research, big data analytics, data science, operations research, management science, decision science, and simulation modeling.
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