agroXML Enabling Standardized, Platform-Independent Internet Data Exchange in Farm Management Information Systems

Schmitz, Mario; Martini, Daniel; Kunisch, Martin; Mösinger, Hans-Jürgen

doi:10.1007/978-0-387-77745-0_45

Cited by 18 publications

(9 citation statements)

References 3 publications

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“…The distrust shown by practical farmers needs to be replaced with a new trust. Standardisation in the area of data transfer could be extended through agroXML (Schmitz et al 2007). …”

Section: Expert Workhops On Pf Practical Application and Research DImentioning

confidence: 99%

Dissemination of precision farming in Germany: acceptance, adoption, obstacles, knowledge transfer and training activities

Reichardt

Jürgens

Klöble³

et al. 2009

Precision Agric

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The adoption of precision farming (PF) was studied on the basis of personal interviews conducted at several agricultural exhibitions in Germany. Between 6.65% and 11% of the interviewed farmers used PF. The majority used data collection techniques such as GPS-based area measurement and soil sampling rather than variable rate application techniques such as site-specific sowing and fertilising. Roughly half the farmers interviewed knew about PF. About 7-10% of them intended to start using PF in the future. The results indicated that a large number of farmers did not even know what PF meant. In order to get more insight into this situation, several interviews were conducted with farmers already using PF techniques. A further study in 2005 of PF education in Germany indicated that, especially at vocational and technical schools, the subject was only covered to a small extent although the aim was to give a better coverage in future. At higher education levels, such as at universities and technical colleges, the teaching of PF was clearly better established. In order to promote awareness of PF among farmers, information and teaching materials adapted to the relevant educational levels were developed and tried out at training events. The main topics addressed were parallel tracking systems, site-specific nitrogen fertilising, yield mapping in grain production and the use of PDAs in crop farming. Finally, preliminary survey results are presented showing how knowledge about PF can best lead to its adoption and transfer into daily practice.

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“…The distrust shown by practical farmers needs to be replaced with a new trust. Standardisation in the area of data transfer could be extended through agroXML (Schmitz et al 2007). …”

Section: Expert Workhops On Pf Practical Application and Research DImentioning

confidence: 99%

Dissemination of precision farming in Germany: acceptance, adoption, obstacles, knowledge transfer and training activities

Reichardt

Jürgens

Klöble³

et al. 2009

Precision Agric

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“…Logical consistency has an important role in the chain between external data sources, FMS and ISOBUS task execution. Works such as agroXML (Schmitz et al, 2009), Agrovoc (2017), Nash et al (2009a) have been working in this area. The logical consistency is outside the scope of this work since this dissertation does not cover data format level of individual cases.…”

Section: Logical Consistencymentioning

confidence: 99%

Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops

Kaivosoja

Näsi

Hakala

et al. 2019

Communications in Computer and Information Science

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“…Uma ontologia foi proposta para padronização das informações visando sua interoperabilidade e preservação. Dentre as utilizadas na agricultura, destaca-se o AgroRDF, baseado no padrão AgroXML [Blank et al 2013], que vem sendo desenvolvido desde 2004 para comunicação de dados entre agricultores e outros parceiros da cadeia de suprimentos [Schmitz et al 2009]. Para representar os ambientes, resultados, recursos e condições da amostra foi realizada uma extensão do AgroRDF, conforme mostra a Figura 2.…”

Section: Representação Das Entidadesunclassified

Tellus: um modelo computacional para a predição da fertilidade do solo na agricultura de precisão

Helfer

Martini

Santos

et al. 2019

Anais Do Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP)

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The application of ubiquitous computing has increased in recent years, especially due to the development of technologies such as mobile computing and its integration with the real world. One of the challenges in this area is the use of context awareness. In agriculture, the context can be related to the environment, for example, the chemical and physical aspects that characterize different types of soil over time. This paper proposes a computational model applied in precision agriculture that uses the contexts history to predict soil fertility. The best results were obtained in the prediction of organic matter, with a coefficient of determination (R 2 ) of 0.9102 for root mean square error (RMSE) of 0.49%. Resumo.A aplicação da computação ubíqua tem aumentado nosúltimos anos, especialmente devido ao desenvolvimento de tecnologias como a computação móvel e sua integração com o mundo real. Um dos desafios nessaáreaé o uso da sensibilidade ao contexto. Na agricultura, pode-se considerar o contexto relacionado ao meio ambiente, por exemplo, os aspectos químicos e físicos que caracterizam os diferentes tipos de solo ao longo do tempo. Este artigo propõe um modelo computacional aplicado na agricultura de precisão que usa os históricos de contextos para predição da fertilidade do solo. Os melhores resultados foram obtidos na predição de matéria orgânica, com um coeficiente de determinação (R 2 ) de 0.9102 para um erro quadrático médio (RMSE) de 0.49%. IntroduçãoA aplicação da agricultura de precisão tem se mostrado uma estratégia adequada para aumentar a produtividade, permitindo o uso racional de insumos e reduzindo os impactos ambientais causados pelas práticas agrícolas. Atualmente, os insumos são utilizados de forma variável, visando atender as necessidades específicas de cada localidade, otimizando o processo produtivo. Entretanto,é necessário caracterizar a variabilidade dos

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agroXML Enabling Standardized, Platform-Independent Internet Data Exchange in Farm Management Information Systems

Cited by 18 publications

References 3 publications

Dissemination of precision farming in Germany: acceptance, adoption, obstacles, knowledge transfer and training activities

Dissemination of precision farming in Germany: acceptance, adoption, obstacles, knowledge transfer and training activities

Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops

Tellus: um modelo computacional para a predição da fertilidade do solo na agricultura de precisão

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