Title :
A neural network for Opuntia leaf-form recognition
Author :
Heymans, Bart C. ; Onema, Joel P. ; Kuti, Joseph O.
Author_Institution :
Horticulture Res. Lab., Texas A&I Univ., TX, USA
Abstract :
A neural network application in the field of botany is presented. The backpropagation paradigm was chosen to distinguish different leaf-forms of the Opuntia species. This approach has been selected because of its merit in separating fuzzy data. Preliminary simulation results indicate that leaf identification by means of artificial neural networks can be achieved
Keywords :
biology computing; computerised pattern recognition; neural nets; Opuntia leaf-form recognition; backpropagation paradigm; botany; computerised pattern recognition; leaf identification; neural network; Artificial neural networks; Backpropagation; Character recognition; Crops; Image processing; Laboratories; Neural networks; Robots; Shape; Terminology;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170700
