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 agricultur...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.展开更多
The early stages of product development are characterized by uncertainties.Designers must deal with challenges that arise unexpectedly in an agile and responsive manner.Expert information systems based on ontological ...The early stages of product development are characterized by uncertainties.Designers must deal with challenges that arise unexpectedly in an agile and responsive manner.Expert information systems based on ontological models are a promising approach to capture knowledge and rationale of domain specialists,either for decision making or knowledge reuse.The present study presents a bibliometric analysis on the use of ontologies in product development for cost estimation.It identifies trends and research opportunities that can orient future works.From a general search in scientific databases,31 articles were found and selected based on criteria established using the Proknow-C method.Results indicate that there are several possibilities for solutions using ontological and hybrid,transdisciplinary approaches.Using intelligent systems is not only promising but is also challenging as a new and real transdisciplinary research area of interest.展开更多
基金This work was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico[grant number 157258/2019-0].
文摘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.
基金This work was supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior[grant number Edital 05/2017]Fundação Araucária:[grant number PI 04/2017 Programa Mobility Confap Italy-MCI].
文摘The early stages of product development are characterized by uncertainties.Designers must deal with challenges that arise unexpectedly in an agile and responsive manner.Expert information systems based on ontological models are a promising approach to capture knowledge and rationale of domain specialists,either for decision making or knowledge reuse.The present study presents a bibliometric analysis on the use of ontologies in product development for cost estimation.It identifies trends and research opportunities that can orient future works.From a general search in scientific databases,31 articles were found and selected based on criteria established using the Proknow-C method.Results indicate that there are several possibilities for solutions using ontological and hybrid,transdisciplinary approaches.Using intelligent systems is not only promising but is also challenging as a new and real transdisciplinary research area of interest.
