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Development potential of nanoenabled agriculture projected using machine learning

The controllability and targeting of nanoparticles (NPs) offer solutions for precise and sustainable agriculture. However, the development potential of nanoenabled agriculture remains unknown. Here, we build an NP-plant database containing 1,174 datasets and predict (R(2) higher than 0.8 for 13 rand...

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Detalles Bibliográficos
Autores principales:	Deng, Peng, Gao, Yiming, Mu, Li, Hu, Xiangang, Yu, Fubo, Jia, Yuying, Wang, Zhenyu, Xing, Baoshan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	National Academy of Sciences 2023
Materias:	Biological Sciences
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288598/ https://www.ncbi.nlm.nih.gov/pubmed/37314934 http://dx.doi.org/10.1073/pnas.2301885120

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