HIGHLIGHTS
- who: Dimitris Stavrakoudis et al. from the Laboratory of Forest Management and Remote Sensing, School of Forestry and Natural Environment have published the paper: Estimating Rice Agronomic Traits Using Drone-Collected Multispectral Imagery, in the Journal: (JOURNAL) of October/10,/2017
- what: The aim of this paper is to present empirical models for predicting agronomic traits of rice plants through remotely-sensed multispectral imagery. This behavior was observed Remote Sens. 2019, 11,Remote 545 Sens. 2018, 10, x FOR PEER REVIEW 16 of 25 16 of 26 calculated as predicted minus field-measured yield (tn . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.