UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat

Early prediction of grain yield helps scientists to make better breeding decisions for wheat. Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based multi-sensor data can improve the prediction accuracy of crop yield. For this, five ML algorithms including Cubist, sup...

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Detalles Bibliográficos
Autores principales: Fei, Shuaipeng, Hassan, Muhammad Adeel, Xiao, Yonggui, Su, Xin, Chen, Zhen, Cheng, Qian, Duan, Fuyi, Chen, Riqiang, Ma, Yuntao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362526/
https://www.ncbi.nlm.nih.gov/pubmed/35967193
http://dx.doi.org/10.1007/s11119-022-09938-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362526/
https://www.ncbi.nlm.nih.gov/pubmed/35967193
http://dx.doi.org/10.1007/s11119-022-09938-8

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