The system architecture in a glance
6 years 3 months ago - 5 years 5 months ago #32
by itsirog
Yannis Tsirogiannis (Agricultural Engineer MSc PhD), works as Assοciate Professor at the University of Ioannina (Greece).
The system architecture in a glance was created by itsirog
Το θέμα αυτό και οι απαντήσεις του αφορούν το σύστημα που ήταν διαθέσιμο έως και το τέλος της αρδευτικής περιόδου 2018.
This post and the relevant replies concerns the system that was available up to the end of 2018 irrigation period
The system (arta.irrigation-management.eu/) is a regional, user-friendly computer/mobile-based, open and free modular software for estimating site specific crop water requirements and irrigation scheduling at multiple scales, from farm to water basin level, with high spatial resolution.
The system takes into account historical (from the system’s stations - system.irrigation-management.eu/) and forecast agrometeorological data, along with crop and soil-water data to accomplish the above mentioned tasks.
Also, it is fully customizable, allowing the users to add site specific information in order to customize the output of the system, taking advantage of additional information.
The source is available at: github.com/openmeteo/aira, under the terms of the GNU General Public License as published by the Free Software Foundation, written in Python and Django, along with NumPy ( www.numpy.org/ ) and GDAL - Geospatial Data Abstraction Library ( www.gdal.org/ ) modules.
This post and the relevant replies concerns the system that was available up to the end of 2018 irrigation period
The system (arta.irrigation-management.eu/) is a regional, user-friendly computer/mobile-based, open and free modular software for estimating site specific crop water requirements and irrigation scheduling at multiple scales, from farm to water basin level, with high spatial resolution.
The system takes into account historical (from the system’s stations - system.irrigation-management.eu/) and forecast agrometeorological data, along with crop and soil-water data to accomplish the above mentioned tasks.
Also, it is fully customizable, allowing the users to add site specific information in order to customize the output of the system, taking advantage of additional information.
The source is available at: github.com/openmeteo/aira, under the terms of the GNU General Public License as published by the Free Software Foundation, written in Python and Django, along with NumPy ( www.numpy.org/ ) and GDAL - Geospatial Data Abstraction Library ( www.gdal.org/ ) modules.
Yannis Tsirogiannis (Agricultural Engineer MSc PhD), works as Assοciate Professor at the University of Ioannina (Greece).
Last edit: 5 years 5 months ago by itsirog.
Please Log in or Create an account to join the conversation.
Time to create page: 0.423 seconds