Neuro-fuzzy concepts applied for planning of the cereal crops: applications to the maize hybrids growing in a Romanian region.
The aim of our study is to improve the crop planning procedures using neuro-fuzzy concepts. In this paper we design a neuro-fuzzy procedure that offers the suitable maize hybrid, from a set of preferred hybrids, which must be organically farmed in the current year. Our method is a statistical one, on the one hand it processes data provided by the previous years and on the other hand it takes in account the vague character of the environmental factors. Also we present here some experimental results obtained by us on a certain set of real data, results which prove the efficiency of our approach.
['Constantinescu|Alina|A|']
D000383:Agriculture D000465:Algorithms D002523:Edible Grain D017143:Fuzzy Logic D008954:Models, Biological D012383:Romania D003313:Zea mays
Cereal crops planning artificial learning fuzzy choice function