Analysis and Survey of Soil Moisture Prediction Techniques for Agricultural Applications

Author:

Patil Seema J.,Ankayarkanni B.

Publisher

Springer International Publishing

Reference34 articles.

1. Hemageetha, N.: A survey on application of data mining techniques to analyze the soil for agricultural purpose. In: Proceedings of 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), IEEE, pp. 3112–3117 (2016)

2. Prakash, S., Sharma, A., Sahu, S.S.: Soil moisture prediction using machine learning. In: Proceedings of 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 1–6 IEEE (2018)

3. Aguilera, H., Moreno, L., Wesseling, J.G., Jiménez-Hernández, M.E., Castaño, S.: Soil moisture prediction to support management in semiarid wetlands during drying episodes. Catena 147, 709–724 (2016)

4. Böhner, J., Selige, T.: Spatial prediction of soil attributes using terrain analysis and climate regionalization. 13–28 (2006)

5. Baggio, A.: Wireless sensor networks in precision agriculture. In: ACM Workshop on Real- World Wireless Sensor Networks (REALWSN 2005), vol. 20, pp.1567–1576. Stockholm, Sweden (2005)

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