A Spatio-Semantic Model for Agricultural Environments and Machines

Author:

Deeken Henning,Wiemann Thomas,Hertzberg Joachim

Publisher

Springer International Publishing

Reference17 articles.

1. Deeken, H., Wiemann, T., Lingemann, K., Hertzberg, J.: SEMAP-a semantic environment mapping framework. In: 2015 European Conference on Mobile Robots (ECMR), pp. 1–6. IEEE (2015)

2. Steinberger, G., Rothmund, M., Auernhammer, H.: Mobile farm equipment as a data source in an agricultural service architecture. Comput. Electron. Agric. 65(2), 238–246 (2009)

3. Pfeiffer, D., Blank, S.: Real-time operator performance analysis in agricultural equipment. In: 73rd International Conference on Agricultural Engineering (AgEng), pp. 6–7 (2015)

4. Steckel, T., Bernardi, A., Gu, Y., Windmann, S., Maier, A., Niggemann, O.: Anomaly detection and performance evaluation of mobile agricultural machines by analysis of big data. In: 73rd International Conference on Agricultural Engineering (AgEng), pp. 6–7 (2015)

5. Dury, J., Garcia, F., Reynaud, A., Bergez, J.E.: Cropping-plan decision-making on irrigated crop farms: a spatio-temporal analysis. Eur. J. Agron. 50, 1–10 (2013)

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