International Journal of Artificial Intelligence and Neural Networks
Author(s) : FATIMAH SIDI, MARZANAH A. JABAR, NILOOFAR YOUSEFI, RAMIN AHMADI, ROZI NOR HAIZAN NOR
one of the most important issues in dairy farm is feed management which aims to manage available and required feed. There are several problems associated with managing cattle feed such as how to best satisfy feed deficits or how to utilize extra feed available. Since early 70s, feed planning decision support systems have been developed to help farmers addressed issues. However, many of those systems have failed because of several reasons such as being designed for specific geographical region, missing dairy farm’s production variables (e.g. milk yield per cow) or using very complex model which is hard to understand and handle. The objective of our research is to proposed an advanced web-based decision support system to address issues of feed management on the basis of stock inputs (required feed estimated based on stock numbers) and basic pasture (available feed for cattle). The system then provides a solution for 12 months feed planning which can be reviewed and improved if required. The system will be developed using web-based decision support system to help decision making process for dairy farming using decision models. We collected data from several dairy farms in Malaysia to validate our proposed model. We contribute by estimating long term strategic solutions for feed management, providing modification of initial solution and adjustment of pasture growth rate based on type and times of the year.