Extraction of FAO Growth Model in a Fuzzy Control Hydroponic Greenhouse
Abstract
Greenhouse is an environment where variables such as: climate, nutritional and biological conditions can be controlled. Therefore, the greenhouse allows horticultural crops to grow in the off-season and also affect plant growth to achieve optimal conditions for different stages of crop growth (Janoudi., 1993). The purpose of a greenhouse construction is to achieve the maximum amount of a product with the highest quality and minimum cost. Multiple factors and relationships inside the greenhouse have made it a complex system in which energy, mass transfer and genetic factors. Greenhouse production is affected by various variables, such as changes in environmental conditions (temperature, humidity, carbon dioxide and plant photosynthesis), plant nutrition (water and nutrients), biological factors (pests, diseases, viruses, bacteria and weeds) and plant breeding management (pruning) (Ali et al., 2018). These variables are associated with a high level of complexity. Therefore, all of these variables need to be identified and investigated to calculate the growth model (Raes et al., 2010).
Domains
Modeling and Simulation
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