Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
Author:
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics
Reference110 articles.
1. Calibration and validation of CSM-CROPGRO-cotton model using lysimeter data in the texas high plains;Adhikari;J. Contemporary Water Research Education,2017
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3. A LiDAR-based system to assess poplar biomass;Andújar;Gesunde Pflanzen,2016
4. A comparative study of RGB and multispectral sensor-based cotton canopy cover modelling using multi-temporal UAS data;Ashapure;Remote Sensing,2019
5. A novel framework to detect conventional tillage and no-tillage cropping system effect on cotton growth and development using multi-temporal UAS data;Ashapure;ISPRS J. Photogramm. Remote Sens.,2019
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