Article
Prediction method of sugarcane important phenotype data based on multi-model and multi-task.
PloS one - 1 Jan 2024
Sun Jihong, Sun Chen, Li Zhaowen, Qian Ye, Li Tong
Abstract excerpt
The efficacy of generalized sugarcane yield prediction models holds significant implications for global food security. Given that machine learning algorithms often surpass the precision of remote sensing technology, further exploration of machine learning algorithms in the development of sugarcane yield prediction models is imperative. In this study, we employed six key phenotypic traits of sugarcane,...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
