QGis for georeferenced water modeling
QGIS is a free and open source Geographic Information System (GIS) software. It allows processing, analysis, modeling and decision making based on geographic and territorial data. In agriculture, QGIS can capture the Normalized Difference Vegetation Index (NDVI), which measures crop health.
QGIS is a free software license, that is to say totally free and open source, it is a geographic information system that helps in the processing, analysis, projections, modeling, decision making and more of the data obtained from the territory and elements that compose it. Geographic information systems (GIS) are a tool to work with different types of data, whether text, numeric, alphanumeric, photographs, etc., which have a geographic position. GIS or GIS help to identify problems, monitor changes, manage and respond to emergencies, make predictions, establish priorities, understand trends, generate maps, reports, graphs, etc. These systems are very useful, since the information obtained can be integrated, stored, edited, analyzed, shared, and finally, displayed geographically referenced in the software's own interface. In agriculture, it is capable of capturing NDVI, which in its acronym means normalized difference vegetation index, this being an important factor to estimate the quantity, quality and development of the crop. In addition, it can be used to observe a yield map in tons per hectare of the crop being carried out. With QGIS, calculation maps of the macroelements necessary for the proper development of crops and a water index can be developed depending on the NDVI observed, taking into account the equations that must be performed to extrapolate the index and know the data in percentage. Also, the system allows hydrological modeling of basins, surface and groundwater flows, specific characteristics of the study area such as precipitation, runoff, water balances, groundwater levels, among others.
N.A
Estimated value:
It is a solution for the current and future situation of water and agriculture in the world.
Expected environmental impact:
Urban/Rural
Sector:
N.A
Efficiency (%):
Electric
Energy used:
N.A
Precipitation (mm):
2, 6, 9 and 13
SDGs impacted:
Water production and storage and water use efficiency
Main theme:
N.A
Precipitation:
Other
Region:
Average
Application difficulty:
https://medium.com/gis-para-agricultura-de-precision/aplicaci%C3%B3n-de-qgis-a-la-agricultura-de-precisi%C 3%B3n-28a4a0c52574#:~:text=With%20QGIS%20you can%20develop, know%20the%20data%20in%20percentage.
Links of interest: