Estimating Rice Agronomic Traits Using Drone-Collected Multispectral Imagery

Estimating Rice Agronomic Traits Using Drone-Collected Multispectral Imagery

The knowledge of rice nitrogen (N) requirements and uptake capacity are fundamental for the development of improved N management. This paper presents empirical models for predicting agronomic traits that are relevant to yield and N requirements of rice (Oryza sativa L.) through remotely sensed data....

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Bibliographic Details
Main Authors: Dimitris Stavrakoudis, Dimitrios Katsantonis, Kalliopi Kadoglidou, Argyris Kalaitzidis, Ioannis Z. Gitas
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Remote Sensing
Subjects:
rice agronomic traits
multispectral UAV imagery
nitrogen uptake
nitrogen concentration
yield
aboveground biomass
multiple linear regression modeling
lasso input selection
Online Access:http://www.mdpi.com/2072-4292/11/5/545

Internet

http://www.mdpi.com/2072-4292/11/5/545

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