J. Pomar

TL;DR: In this paper, a Markov decision sow model was developed to represent the productive and reproductive lifespan of herd sows and a complementary validation using a statistical χ 2 test based on Pearson's statistic is proposed to compare herd distributions at equilibrium.

TL;DR: A sow herd decision support system (SH-DSS) was developed, based on an embedded Markov process, representing sow herd dynamics and was implemented using object-oriented programming as mentioned in this paper.

TL;DR: In this paper, a semi-Markov model and its application for designing and sizing swine facilities are presented, which is useful to determine more accurately the capacity, improve farm design and reduce housing cost.

TL;DR: A friendly implementation of a dynamic sow model to represent sow production through reproduction and replacement management at farm level and to include it in a decision support system (DSS) running on a PC.

TL;DR: Results showed that the method of image approximation makes it possible to reduce the botanical knowledge necessary for identification of weeds, as well as that multimedia technology has a positive effect in the intuitiveness and the facility of use of the tool.