A microenvironment prediction model for Chinese solar greenhouses based on the bond graph approach.

Zhang, Lei; Liu, Xingan; Li, Tianlai; Ji, Jianwei; Zhao, Lei

Zhang, Lei; Liu, Xingan; Li, Tianlai; Ji, Jianwei; Zhao, Lei.

Afiliación

Zhang L; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenhe District, Shenyang, China.
Liu X; National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenhe District, Shenyang, China.
Li T; Key Laboratory of Protected Horticulture, Shenyang Agricultural University, Ministry of Education, Shenhe District, Shenyang, China.
Ji J; National & Local Joint Engineering Research Center of Northern Horticultural Facilities Design & Application Technology (Liaoning), Shenhe District, Shenyang, China.
Zhao L; Key Laboratory of Protected Horticulture, Shenyang Agricultural University, Ministry of Education, Shenhe District, Shenyang, China.

PLoS One ; 17(5): e0267481, 2022.

Article en En | MEDLINE | ID: mdl-35503764

Asunto(s)

Energía Solar; Luz Solar; China; Humedad; Temperatura

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Energía Solar / Luz Solar Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google