AQUACROP
AquaCrop is a FAO simulation model that estimates crop growth and yield based on the interaction between climate, soil, water, and agricultural management. It focuses on water productivity, making it especially useful in water-scarce conditions. It uses data such as temperature, precipitation, and soil characteristics to simulate key processes and support irrigation planning and agricultural decision-making in an efficient and sustainable way.
Country:
AquaCrop is a simulation model developed by the FAO that estimates crop growth, development, and yield based on the interaction between climate, soil, water, and agricultural management practices. Its main focus is on water productivity, meaning how water availability influences agricultural production, making it especially useful in water-scarce conditions.
The model uses relatively simple data, such as temperature, precipitation, soil characteristics, crop type, and irrigation management, to simulate key processes like evapotranspiration, crop development, and biomass production. As a result, AquaCrop helps evaluate different production scenarios, supports irrigation planning, and improves decision-making to enhance the efficiency and sustainability of agricultural systems, including assessing the impacts of climate change.
Water production and storage and water use efficiency
Main theme:
Andean
Region:
1000 - 1500
Precipitation (mm):
Low
Application difficulty:
2, 6, 12 and 13
SDGs impacted:
Electric
Energy used:
70 - 90
Efficiency (%):
Rural
Sector:
The positive environmental impact of AquaCrop lies in its ability to promote more efficient and sustainable water use in agriculture, reducing waste and the overexploitation of water resources. It also helps optimize irrigation and farming practices, contributing to decreased soil degradation, prevention of salinization, and reduced pressure on natural ecosystems.
Additionally, it facilitates the evaluation of climate change scenarios, supporting the implementation of adaptation strategies that enhance more sustainable and resilient agricultural production.
Expected environmental impact:
Free
Estimated value: