Investment decisions

The crop growth models can be used to predict crop performance in regions where the crop has not been grown before or not grown under optimal conditions. Such applications are of value for regional development and agricultural planning in developing countries (Van Keulen and Wolf, 1986). A model can calculate probabilities of grain yield levels for a given soil type based on rainfall (Kiniry and Bockhot, 1998). Investment decisions like purchase of irrigation systems (Boggess and Amerling, 1983) can be taken with an eye on long term usage of the equipment thus acquired. Kiniry et al. (1991) showed that for maize, both simulated and measured mean yields with weeds are 86% of the weed-free yields.

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