Anomaly Detection Across Multiple Farms Through Remote Sensing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58174-8_42
Reference11 articles.
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3. Huang, Q., Wu, W., Zhang, L., Li, D.: MODIS-NDVI-based crop growth monitoring in China agriculture remote sensing monitoring system. In: 2010 Second IITA International Conference on Geoscience and Remote Sensing, Qingdao, China, pp. 287–290 (2010). https://doi.org/10.1109/IITA-GRS.2010.5603948
4. Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. 41(3), 58, Article no. 15 (2009). https://doi.org/10.1145/1541880.1541882
5. Ou, C.-H., Chen, Y.-A., Huang, T.-W., Huang, N.-F.: Design and implementation of anomaly condition detection in agricultural IoT platform system. In: 2020 International Conference on Information Networking (ICOIN), Barcelona, Spain, pp. 184–189 (2020). https://doi.org/10.1109/ICOIN48656.2020.9016618
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