Smart agriculture requires new hardware and software solutions in order to achieve its goals of improved productivity. The SWAMP project develops a platform for smart water management using IoT, cloud and fog computing, and machine learning, among other technologies. This paper presents the SWAMP Farmer App for water status monitoring and irrigation control. The app improves farmer's situation awareness regarding water status by showing current and past moisture data from the fields, including map and charts views. The app also includes irrigation planning and drone capabilities.

Augusto Sales Dantas R., Vasconcelos Da Gama Neto M., Dimitry Zyrianoff I., Alberto Kamienski C. (2020). The SWAMP Farmer App for IoT-based Smart Water Status Monitoring and Irrigation Control. 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroAgriFor50201.2020.9277588].

The SWAMP Farmer App for IoT-based Smart Water Status Monitoring and Irrigation Control

Dimitry Zyrianoff I.;
2020

Abstract

Smart agriculture requires new hardware and software solutions in order to achieve its goals of improved productivity. The SWAMP project develops a platform for smart water management using IoT, cloud and fog computing, and machine learning, among other technologies. This paper presents the SWAMP Farmer App for water status monitoring and irrigation control. The app improves farmer's situation awareness regarding water status by showing current and past moisture data from the fields, including map and charts views. The app also includes irrigation planning and drone capabilities.
2020
2020 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 - Proceedings
109
113
Augusto Sales Dantas R., Vasconcelos Da Gama Neto M., Dimitry Zyrianoff I., Alberto Kamienski C. (2020). The SWAMP Farmer App for IoT-based Smart Water Status Monitoring and Irrigation Control. 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroAgriFor50201.2020.9277588].
Augusto Sales Dantas R.; Vasconcelos Da Gama Neto M.; Dimitry Zyrianoff I.; Alberto Kamienski C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/971248
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