Spinach Yield Mapping Using Multispectral Uav Imagery

Author:

Jiang Xintong,Sun Shangpeng,Adamchuk Viacheslav,Weisman Gil,Ramsay Patrick,Rincon Andres Rello

Publisher

Elsevier BV

Reference47 articles.

1. Evaluation of the saturation property of vegetation indices derived from sentinel-2 in mixed crop-forest ecosystem;A Aklilu Tesfaye;Spatial Information Research,2021

2. Site-Specific Seed Yield Prediction of Red Fescue (Festuca rubra L.) Based on Drone Imaging and Local Regression Models;C Andreasen;Agronomy,2023

3. An interaction regression model for crop yield prediction;J Ansarifar;Scientific Reports,2021

4. Estimation of spinach (Spinacia oleracea) seed yield with 2D UAV data and deep learning;M Ariza-Sent�s;Smart Agricultural Technology,2023

5. Prediction modeling for yield and water-use efficiency in spinach using remote sensing via an unmanned aerial system;H O Awika;Smart Agricultural Technology,2021

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