carlospachecolima/chickpea-phenotyping-ai: v.1.0.0

20260 citationsOthergreen Open Access

Authors

Carlos Eduardo Pacheco Lima · Brazilian Agricultural Research Corporation

Mariana Rodrigues Fontenelle · Brazilian Agricultural Research Corporation

Warley Marcos Nascimento · Brazilian Agricultural Research Corporation

Abstract

Initial Release This version introduces: AI-assisted phenotyping pipeline for chickpea Prompt engineering framework with phenological context (DAP) Dynamic ranking system for plant performance SHA-256 hash generator for software registration Key Contribution Integration of agronomic knowledge into AI reasoning through structured prompt chaining. Authors Carlos Eduardo Pacheco Lima Mariana Rodrigues Fontenelle Warley Marcos Nascimento

Topics & Keywords

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19370242

Command Palette

carlospachecolima/chickpea-phenotyping-ai: v.1.0.0

Authors

Abstract

Topics & Keywords

Publication Details