SPANISH JOURNAL OF AGRICULTURAL RESEARCH, vol.17, no.4, 2019 (SCI-Expanded)
Article / Article
SPANISH JOURNAL OF AGRICULTURAL RESEARCH
Science Citation Index Expanded (SCI-EXPANDED), Scopus
Pyrus communis L., artificial neural networks, multiple linear regressions, model estimation, NONDESTRUCTIVE ESTIMATION, PREDICTION MODELS, NETWORKS, ACCURATE, WEIGHT, LENGTH, PLANTS, TREE
Ondokuz Mayıs University Affiliated:
Aim of study: Leaf area (LA) is an important variable for many stages of plant growth and development such as light interception, water and nutrient use, photosynthetic efficiency, respiration, and yield potential. This study aimed to determine the easiest, most accurate and most reliable LA estimation model for the pear using linear measurements of leaf geometry and comparing their performance with artificial neural networks (ANN).