A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination

作者：Nielsen Jens D; Salmeron Antonio^*; Gamez Jose A

来源：International Journal of Approximate Reasoning, 2014, 55(1): 74-83.

DOI：10.1016/j.ijar.2013.03.010

• Bayesian networks
• Inference
• Learning
• Vegetal genetic improvement
• Decision support systems

In this paper we describe a system designed for assisting geneticists in vegetal genetic improvement tasks. The system is based on the use of Bayesian networks. It has been developed under the industrial demands emerging from the area of Campo de Dallas in Almeria (Spain), and is therefore oriented to producing new tomato varieties, which constitute the main product in the area. The paper concentrates on the main aspects of the design of the system.

• 出版日期2014-1