Improving ISO 11783 file transfers into mobile farm equipments using on-the-fly data compression

Iglesias, Natalia; Bulacio, Pilar; Tapia, Elizabeth

doi:10.1016/j.compag.2014.09.012

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…Despite the ability to transmit large amounts of agronomic data from machinery, communication systems based on ISO 11783 (including the internal systems of the farm machine-the implement) are plagued by large volumes of data traffic [35]. In this case, it is possible to use dynamic data compression (ISOBUSComp protocol).…”

Section: Application Specifics Issues and Limitationsmentioning

confidence: 99%

“…To assess the critical amount of data to be sent instantaneously, the Partition and Reassembly Mechanism (PaRM) microcontroller is used to send the incoming data to the appropriate data compression procedure [35]. The overall architecture of the experimental system in this study consisted of a data bus connecting several of a tractor's operational control units and a data compression controller programmed in CAPL.…”

Section: Application Specifics Issues and Limitationsmentioning

confidence: 99%

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The Architecture of an Agricultural Data Aggregation and Conversion Model for Smart Farming

Žuraulis,

Pečeliūnas

2023

Applied Sciences

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Monitoring and control systems integrated into agricultural machinery enable the development of agricultural analyses with advanced management tools, but the full use of all available data is often limited by the lack of uniformity among data transmitted from different agricultural machines. This paper presents an agricultural data aggregation and conversion model that allows for the collection and use of data captured from different agricultural machines in the course of work; these data differ in their original file formats and cannot be combined and used in a common analysis system. Programming work was carried out to create the model, and a specialised software interface enabled raster data processing using a Python library together with the open-source Hypertext Preprocessor and JavaScript programming language libraries. A PostGIS extension was utilised to engage field geometry and map-layering tools. Model validation showed that the data aggregation and conversion functions ensure the evaluation of semantic content and the transformation of the aggregated data into a unified format which is suitable for further use in intelligent farming management applications. The developed model will encourage precision agriculture, with the aim of improving work efficiency and the rational use of resources, the economy, and ecology in agriculture.

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Section: Application Specifics Issues and Limitationsmentioning

confidence: 99%

Section: Application Specifics Issues and Limitationsmentioning

confidence: 99%