ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets
This paper introduces an open-source platform called <i>ISOBlue HD</i> for acquisition of context-rich data from agricultural machinery. We call these datasets context-rich, because they enable the identification of machine status and farming logistics by properly labeling, fusing, and p...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/20/5768 |
| _version_ | 1827704513296859136 |
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| author | Yang Wang He Liu James Krogmeier Amy Reibman Dennis Buckmaster |
| author_facet | Yang Wang He Liu James Krogmeier Amy Reibman Dennis Buckmaster |
| author_sort | Yang Wang |
| collection | DOAJ |
| description | This paper introduces an open-source platform called <i>ISOBlue HD</i> for acquisition of context-rich data from agricultural machinery. We call these datasets context-rich, because they enable the identification of machine status and farming logistics by properly labeling, fusing, and processing the data. The system includes a single board computer, a cellular modem, local storage, and power-over-ethernet switch to sensors. The system allows remote diagnostics and access, automatic startup/shut down with vehicle operations, and uses Apache Kafka to enable robust data exchange. <i>ISOBlue HD</i> was deployed in a combine harvester during a 2019 wheat harvest for simultaneously capturing 69 million CAN frames, 230,000 GPS points, and 437 GB of video data, focusing on header status and operator actions over 84 h of harvest time. Analyses of the collected data demonstrate that contextual knowledge can be inferred on harvest logistics (paths, speeds, header status, material transfer) and sensor data semantics. |
| first_indexed | 2024-03-10T15:41:53Z |
| format | Article |
| id | doaj.art-edfd048728a04f6ebf413fc477cc34a8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:41:53Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-edfd048728a04f6ebf413fc477cc34a82023-11-20T16:46:08ZengMDPI AGSensors1424-82202020-10-012020576810.3390/s20205768ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery DatasetsYang Wang0He Liu1James Krogmeier2Amy Reibman3Dennis Buckmaster4Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USAElectrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USAElectrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USAElectrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USAAgricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USAThis paper introduces an open-source platform called <i>ISOBlue HD</i> for acquisition of context-rich data from agricultural machinery. We call these datasets context-rich, because they enable the identification of machine status and farming logistics by properly labeling, fusing, and processing the data. The system includes a single board computer, a cellular modem, local storage, and power-over-ethernet switch to sensors. The system allows remote diagnostics and access, automatic startup/shut down with vehicle operations, and uses Apache Kafka to enable robust data exchange. <i>ISOBlue HD</i> was deployed in a combine harvester during a 2019 wheat harvest for simultaneously capturing 69 million CAN frames, 230,000 GPS points, and 437 GB of video data, focusing on header status and operator actions over 84 h of harvest time. Analyses of the collected data demonstrate that contextual knowledge can be inferred on harvest logistics (paths, speeds, header status, material transfer) and sensor data semantics.https://www.mdpi.com/1424-8220/20/20/5768precision agriculturemachineryopen-sourceISOBUScontroller area networkdata collection |
| spellingShingle | Yang Wang He Liu James Krogmeier Amy Reibman Dennis Buckmaster ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets Sensors precision agriculture machinery open-source ISOBUS controller area network data collection |
| title | ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets |
| title_full | ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets |
| title_fullStr | ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets |
| title_full_unstemmed | ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets |
| title_short | ISOBlue HD: An Open-Source Platform for Collecting Context-Rich Agricultural Machinery Datasets |
| title_sort | isoblue hd an open source platform for collecting context rich agricultural machinery datasets |
| topic | precision agriculture machinery open-source ISOBUS controller area network data collection |
| url | https://www.mdpi.com/1424-8220/20/20/5768 |
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