Mathematical Engines

CropOptimiser has been developed over a period of ten years from its humble beginnings as an Excel spreadsheet through to a stand-alone software application with inbuilt LP solver and advanced textural, charting, and spatial outputs. However, the key feature of the software throughout its development cycle is the central component of the LP model.
 
Many studies in agricultural management have used LP and non-LP models for problem solving, with a typical objective being to maximize seasonal benefits of cropping in an irrigation command area (Barbel and Limon, 1999). For example, Kodal (1996), Mainuddin et al. (1997) and Raju and Kumar (1999), Benli et al. (2001), Singh et al. (2001) and Reca et al. (2001) all developed linear models to optimise cropping patterns to maximize profit. Some have developed nonlinear models to optimise cropping patterns under deficit irrigation (Carvallo et al. 1998; Benly and Kodal, 2003; Kumar et al. 1998) while others have optimized over consecutive seasons to maximize net annual return (Sethi et al. 2006). Others such as Dutta and Carter (1998) and Karya (1995) have focused on optimising water use and allocation for fixed cropping options. However, in Lombok, the problem is associated with the irrigation of multiple crops in multiple cropping sequences in which water supply can be predicted using seasonal climate forecasting. None of these existing models were structured for this purpose.