Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images.

ABSTRACT:

Background

The number of ears per unit ground area (ear density) is one of the main agronomic yield components in determining grain yield in wheat. A fast evaluation of this attribute may contribute to monitoring the efficiency of crop management practices, to an early prediction of grain yield or as a phenotyping trait in breeding programs. Currently the number of ears is counted manually, which is time consuming. Moreover, there is no single standardized protocol for counting the ears. An automatic ear-counting algorithm is proposed to estimate ear density under field conditions based on zenithal color digital images taken from above the crop in natural light conditions. Field trials were carried out at two sites in Spain during the 2014/2015 crop season on a set of 24 varieties

SUBMITTER: Fernandez-Gallego JA 

PROVIDER: S-EPMC5857137 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature