This paper presents a case of study of a IoT cloud plat-form composed of a microservices architecture that has been developed to integrate the CRITERIA-1D into the ZENTRA cloud. CRITERIA-1D is an open-source agro-hydrological model developed by ARPAE simulating one-dimensional soil water fluxes, crop development, and crop water needs. CRITERIA-1D comes with a default set of crops and soils that can be used or tuned for a specific scenarios. Taking as input the weather forecasts (i.e., temperatures and precipitations), the model can be used to predict the soil water content and soil water potential at different depths. Along with the design of the implemented solution, this paper presents the process of tuning crop and soil parameters for a specific use case. The results show that the tuned model estimates very well with respect to the measures observed by sensors, paving the way to its application within the larger context of the METER's ZENTRA cloud.

Predict soil moisture into the future: On the integration of CRITERIA-1D into ZENTRA cloud

Aguzzi C.;Bittelli M.;Roffia L.
2021

Abstract

This paper presents a case of study of a IoT cloud plat-form composed of a microservices architecture that has been developed to integrate the CRITERIA-1D into the ZENTRA cloud. CRITERIA-1D is an open-source agro-hydrological model developed by ARPAE simulating one-dimensional soil water fluxes, crop development, and crop water needs. CRITERIA-1D comes with a default set of crops and soils that can be used or tuned for a specific scenarios. Taking as input the weather forecasts (i.e., temperatures and precipitations), the model can be used to predict the soil water content and soil water potential at different depths. Along with the design of the implemented solution, this paper presents the process of tuning crop and soil parameters for a specific use case. The results show that the tuned model estimates very well with respect to the measures observed by sensors, paving the way to its application within the larger context of the METER's ZENTRA cloud.
2021 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2021 - Proceedings
331
335
De Faria B.T.; Aguzzi C.; Bates T.; Campbell C.; Tomei F.; Bittelli M.; Roffia L.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/875663
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact