CIAT/iCleaned_batch: iCLEANED Development Changes 2025

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Authors: Ahmed Jou, Yassine Elaouni, Nadim Bouchaib, Emmanuel Mwema, Rein Van der Hoek, An Notenbaert
Cited by: 0

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