CIAT/iCleaned_batch: iCLEANED Development Changes 2025
Abstract
This fork captures the 2025 development updates for iCLEANED, focusing on improving user experience, data integrity, and parameter database management. Key changes include major UX enhancements in parameter tables, improved navigation and search functionality, and strengthened data quality checks across farm and feeding modules. Significant dataset restructuring was also implemented, including renaming and cleaning lookup tables (lkp_feedtype → lkp_crops, updates to lkp_feeditem and lkp_livetype), removing redundant variables, and simplifying climate data tables. Additional improvements include the addition of predefined region-specific parameter databases, validation warnings, updated help links, and overall code quality upgrades.
Fields of Study & Subjects
Smart Agriculture and AI
Data Quality and Management
Research Data Management Practices
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026
- Language
- EN