{"title":"Digitalization and Big data in smart farming – a review","authors":"Jaqueline Iaksch, Ederson Fernandes, Milton Borsato","doi":"10.1080/23270012.2021.1897957","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":46290,"journal":{"name":"Journal of Management Analytics","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2021-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Analytics","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/23270012.2021.1897957","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 28
Abstract
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.
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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