Interaction of Principal Component Analysis and Normalized Difference Vegetation Index (NDVI) Using Drone in Evaluation of the Vegetative Phase of Rice

Abstract

Background and Objective: The use of Normalized Difference Vegetation Index (NDVI) with drone technology has proven effective in crop assessment. However, integration with morphological features is needed. This study aims to explore the interplay between morphological characters and NDVI in evaluating rice cultivation during the vegetative phase. Materials and Methods: The experiment conducted across two proximate locations using a nested randomized complete group design, with replications nested in the environment, the study involved 10 genotypes. The NDVI and morphological data obtained were analyzed using analysis of variance and principal components. Results: Findings reveal the efficacy of integrating NDVI and principal component-based morphological characters. This combined approach effectively stratifies varieties into two distinct groups: Six varieties in the first group and three in the second. Notably, genotypes Inpago 15, IR20 and Way Apo Buru exhibit favorable phenotypes concerning shoot fresh weight, shoot dried weight and NDVI. Conversely, Inpari 29 showcases a lower vegetative index but demonstrates commendable plant height. Conclusion: These results underscore the potential of this interaction concept, especially for studies emphasizing vegetative traits.