Estimating the frost damage index in lettuce using UAV-based RGB and multispectral images.

ABSTRACT:

Introduction

The cold stress is one of the most important factors for affecting production throughout year, so effectively evaluating frost damage is great significant to the determination of the frost tolerance in lettuce.

Methods

We proposed a high-throughput method to estimate lettuce FDI based on remote sensing. Red-Green-Blue (RGB) and multispectral images of open-field lettuce suffered from frost damage were captured by Unmanned Aerial Vehicle platform. Pearson correlation analysis was employed to select FDI-sensitive features from RGB and multispectral images. Then the models were established for different FDI-sensitive features based on sensor types and different groups according to lettuce colors using multiple linear regression, support vector machine and neural ne

SUBMITTER: Liu Y 

PROVIDER: S-EPMC10794741 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature