A Decision Support System for the Management of Greenhouse Tomato Production

Abstract

Two exponential growth models, namely, days after transplanting versus plant height and cumulative heat unit versus plant height, were developed to quantify the response of average daily temperature and number of days required to achieve the plant height at various growth stages. The average daily temperature required to be maintained in the greenhouse was predicted using the models for achieving the target dates for flowering and fruit setting. This information was used in the form of a computer program to support decision making about real time greenhouse temperature control. The knowledge for tomato crop has been organised to determine a production schedule designed to maximize the plant growth, quality and quantity of tomato.