Title :
Probabilistic growth model for dendrobium orchid
Author :
Kongsombut, Korakoch ; Chaisricharoen, Roungsan
Author_Institution :
Sch. of Inf. Technol., Mae Fah Luang Univ., Chiang Rai, Thailand
Abstract :
Dendrobium orchid has several plant states which are requiring different patterns of cultivation. In order to deliver appropriate advice to orchid farmers, status of their farms must be aware especially in the composite of orchid in each state. To model and predict farm status based on given initial data, a growth model is introduced in form of the CDF which can be easily adapted to estimate ratio of status change based on certain amount of plant in each state. The experiment involves around 120 orchid plants divided into four growing states with over one year of observations. The proposed model is confirmed with collected data which is strongly representing normal distribution behavior.
Keywords :
farming; probability; CDF; cultivation patterns; dendrobium orchid; farm status; growth model; normal distribution behavior; orchid farmers; orchid plants; probabilistic growth model; status change ratio; Adaptation models; Data collection; Data models; Predictive models; Probabilistic logic; Probability; Real-time systems; dendrobium; growth estimation; growth model; orchid care;
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
DOI :
10.1109/APSIPA.2014.7041816
