Dataset

Enhancing and Monitoring Impacts of Complementary and Linked Land and Water Management Technologies and Approaches at Landscape/Watershed Levels

IrrigationEthiopiaHarvard Dataverse

Dataset Objective

To monitor the International Center for Tropical Agriculture (CIAT) project, which aimed at improving and monitoring the effects of complementary and linked land and water management mechanizations and approaches at watershed levels.

Context

Data was collected as a monitoring plan.

What is included

Data contains the biomass yield, grain yield, soil depth and soil moisture content.

Collection Methods

Data was collected using laboratory analysis.