KNOWLEDGE-BASED CONTROL-SYSTEMS FOR SINGLE STEM ROSE PRODUCTION - PART I - SYSTEMS-ANALYSIS AND DESIGN

Systems analysis was performed to develop knowledge-based control syst ems (KBS) for single stem rose production. System components and contr ol strategies for the KBS were identified from the analysis. The contr ol strategy for daytime temperatures was derived by balancing the conf licting goals of rose production and costs of environmental modificati on. Nighttime temperature control strategy was determined through qual itative reasoning of the relationship between the plant's photosynthet ic efficiency and respiratory energy metabolism. A fuzzy inference par adigm was applied to facilitate system design. Two fuzzy inference sys tems (FIS) were designed to determine the daytime and nighttime greenh ouse set point temperatures. A set of experiments was conducted to obt ain the information on dimensional measurements of single stem rose (R osa hybrida L., cv. Lady Diana) and the corresponding stem dry weight. An adaptive neuro-fuzzy inference system (ANFIS) was devised that pre dicted the dry weight for single stem roses from simple nondestructive measurements. An on-line computational algorithm for greenhouse heati ng and ventilation costs was developed according to the daily energy c onsumption of each component of heating and ventilation equipment. Two sets of rule bases were derived for daytime and nighttime temperature settings.