A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics

Canola (Brassica napus L.) yield prediction using a combined application of small unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant attention. In recent years, major studies have demonstrated the potential of developing new VIs for predicting canola yield. However, s...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Nitin Rai, Harsh Pathak, Maria Villamil Mahecha, Dennis R. Buckmaster, Yanbo Huang, Paul Overby, Xin Sun
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-12-01
coleção:	Smart Agricultural Technology
Assuntos:	Canola Data analytics Hyperparameter tuning Machine learning Neural-network Remote sensing
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2772375524003022
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!