Abstract
This study presents the development of a stochastic modelling system and a laboratory works on the greenhouse scale for estimating the concentration of boron in controlled irrigated-paddy plants. The model was developed based on Object Oriented Programming (OOP) Python 3.6. The stochastic model is developed to predict boron concentration through different treatments (different inflow and interval irrigation) inside the greenhouse. There were three treatments of the experiment in greenhouse scale: the buckets filled using full of open inflow in bucket one, the buckets filled using a half of open inflow in bucket two, the buckets filled using a quarter of open inflow in bucket three. The study used integration data using Odeint python package, Hargraves model, and chemical kinetics to estimate the boron concentration. The result shows that bucket two and bucket three have higher boron concentration than bucket one based on laboratory experiment. In this study, the simulation approaches show performances which are satisfactory to predict boron concentration up to three second in the buckets.
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