Experimental variables in sugarcane intercropping in Reunion Island for data matching

Area of Science:

• Agroecology
• Data Science
• Information Systems

Background:

• Complex agroecological systems generate diverse experimental data.
• Standardized data sharing is crucial for advancing agroecological research.
• Existing databases require variable mapping for integration.

Purpose of the Study:

• To link experimental data from agroecological systems to the AEGIS database.
• To map researcher-defined variables to the AEGIS dictionary for tropical crops.
• To evaluate methods for matching variables in agroecological data.

Main Methods:

• Variable mapping between researcher datasets and the AEGIS dictionary.
• Utilizing data from tropical crops including sugarcane, rice, and sorghum.
• Case study analysis of sugarcane intercropping systems.

Main Results:

• Successful mapping of researcher variables to the AEGIS dictionary for selected crops.
• Evaluation of three distinct measures for variable matching accuracy.
• Demonstration of data linkage feasibility for agroecological research.

Conclusions:

• The developed variable mapping facilitates data integration into the AEGIS database.
• Variable matching is essential for harmonizing diverse agroecological datasets.
• The study provides a framework for enhancing data sharing in agroecology.