Supervised Learning Algorithms Evaluation on Sweet Potato Data for Production Indices Considering Human Consumption
Year: 2024
Type: article
Abstract: The sweet potato holds significant importance as a root crop cultivated globally, serving purposes in both human and animal nutrition, ethanol fuel production, and ornamental cultivation. Several genetic experiments have been undertaken to identify superior root varieties. Within this study, a refined statistical methodology has been devised to mitigate environmental factors and promote equitable comparisons among diverse varieties. Through the integration of supplementary environmental data into the experimental framework, a deeper understanding of each variety can be attained. This research signifies an inaugural endeavor towards scrutinizing post-harvest sweet potato data, aiming to unveil novel insights.
Institution: Universidade Federal de Lavras
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4405064709