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Conference Paper

Developing a mobile app for adopting efficient irrigation technologies

Authors

Ponce Pacheco,  Mario Alberto
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Adla,  Soham
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Guntha,  Ramesh
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Aravind,  Aiswarya
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Tailor,  Sanjay
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Tyagi,  Ashray
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Nagi,  Anukool
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Pastore,  Prashant
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Pande,  Saket
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Ponce Pacheco, M. A., Adla, S., Guntha, R., Aravind, A., Tailor, S., Tyagi, A., Nagi, A., Pastore, P., Pande, S. (2023): Developing a mobile app for adopting efficient irrigation technologies, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4604


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021014
Abstract
Smallholder farmers are critical to global food production and natural resource management. Due to increased competition for water resources and variability in rainfall due to climate change, chronic irrigation water scarcity is rising particularly in drought-prone regions like Vidarbha, Maharashtra (India). Improving irrigation water efficiency is critical to sustainable agricultural intensification. We have developed software that allows farmers to take decisions in real-time based on the implemented practices in their crops. By implementing a socio-hydrological dynamic model, the software provides a risk forecast of the yield and profit the user can expect at the end of the season under the current practices; in addition, the software computes the forecast of the production under a provided best practices scenario, so the users can compare and improve their practices. The model considers also as state variables the water storage water and biomass production, providing an understanding of the impact of the executed practices in the natural resources. We’ve focused on object-oriented programming (OOP) approach in order to optimise the management of the information. The app not only processes social and agricultural information provided by the user but also retrieves and continually updates climate datasets from the web, as well as market prices. The farmers can request the execution of the social-hydrological model to our servers from their own mobile devices, helping to the adoption of technologies. In addition, this software represents a useful tool to capture and follow information about the use of water by farmers.