Chapter: Mobile Client for Crop Yield Prediction Based on Weather Data

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Home > Agents and Multi-Agent Systems: Technologies and Applications 2022: Proceedings of 16th KES International Conference, KES-AMSTA 2022, June 2022 > Mobile Client for Crop Yield Prediction Based on Weather Data

Agents and Multi-Agent Systems: Technologies and Applications 2022: Proceedings of 16th KES International Conference, KES-AMSTA 2022, June 2022 |

Gordan Jezic; Yun-Heh Jessica Chen-Burger; Mario Kusek; Roman Šperka; Robert J. Howlett; Lakhmi C. Jain

Springer Nature Singapore

Agents and Multi-Agent Systems: Technologies and Applications 2022: Proceedings of 16th KES International Conference, KES-AMSTA 2022, June 2022

Mobile Client for Crop Yield Prediction Based on Weather Data

Chapter Info

Authors

Ivan Kralj; Pavle Skocir; Gordan Jezic

ARI Id

1665403116830_6279563

Access

Not Available Free

Pages

39-48

DOI

10.1007/978-981-19-3359-2_4

Chapter URL

https://rd.springer.com/chapter/10.1007/978-981-19-3359-2_4

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