Papers: 10.1371/journal.pone.0128566
https://doi.org/10.1371/journal.pone.0128566
Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)
Cited by: 9
Author(s): M. Suárez, Gonzalo Astray, Dina L. López, Francisco Espinosa
Published: over 11 years ago
Software Mentions 1
Very Likely Science (75)