Application of Artificial Neural Network for Classification of Gooseberry Species
Lixian Zhang · Journal of Agricultural Mechanization Research · 2006
Basing on the study of gooseberry’s dielectric properties, in this paper we make use of the Artificial Neural Network to classify different kinds of gooseberries. This classification belongs to model classification; the crucial point of this classification is getting the characteristic parameters. If we get some kind of chara- cteristic parameters of gooseberries and choose a suitable network, we can classify the gooseberry’s species by lots of training.