Advanced technological solution for real-time irrigation management at farm scale
Contributo in Atti di convegno
Data di Pubblicazione:
2014
Abstract:
A consortium of private ICT companies and Research institutions has developed a
new automatized decision support system which integrates the results of scientific
achievements and technological innovations in the fields of crop water requirements
and irrigation scheduling, on-field data acquisition, transmission and management,
and application of web and app tools for real-time irrigation management. The
decision support system, called Hydro-Tech (HT-DSS) aimed: a) to design a 'simple
and practical', user-friendly computer/mobile-based DSS, by considering also the
end-user feedbacks and specific requirements; b) to test and validate at farm level
the effectiveness and reliability of simulations for different vegetables, fruit trees
and grapevine crops, under different agronomic, management and pedo-climatic
conditions; c) to test the effective integration of different technologies; and d) to
evaluate the most cost-effective solutions. The HT-DSS is based on the Guidelines for
computing crop water requirements described in the FAO Irrigation and Drainage
Paper 56 and consecutive updates and improvements. The system runs on a daily
basis at the scale of a single 'irrigated plot' and permits the optimization of irrigation
inputs at the farm scale through a dynamic multi-crop/farm optimizer. A standard
interface connecting the on-field devices with the client software application
through a Data Cloud Network (Hydrotech Data Cloud, HDC) was developed. It
supports, via new generation of smart devices (tablets, smartphones, laptops),
wireless and continuous monitoring of the on-field weather/soil/crop conditions and
the remote control and management of irrigation. The main algorithms of the model
are briefly introduced in this paper, together with the preliminary results of the ongoing
experimental activity at farm level in Apulia region (Southern Italy).
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
decision support system; soil water balance; irrigation scheduling; dynamic multi-crop/farm optimization model; Data Cloud Network
Elenco autori:
Boari, Francesca; Cantore, Vito
Link alla scheda completa: