Use of geostatistical and crop growth modelling to assess the variability of greenhouse tomato yield caused by spatial temperature variations
Users of potential crop growth models have generally assumed homogenous greenhouse climate conditions for simulation purposes. Geostatistics offers the possibility to represent the spatial dependence of climate variables such as temperature distribution in greenhouses. In order to obtain insight in...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2009
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12430
- Acceso en línea:
- https://www.sciencedirect.com/science/article/abs/pii/S0168169908002202
http://hdl.handle.net/20.500.12010/12430
http://expeditiorepositorio.utadeo.edu.co
- Palabra clave:
- Geostatistics
Tomato
Tomgro
Yield variability
Temperature distribution
Greenhouse microclimate
- Rights
- License
- Acceso restringido