Soil Surface Texture Classification Using RGB Images Acquired Under Uncontrolled Field Conditions

Author:

Babalola Ekunayo-Oluwabami1,Asad Muhammad H.1ORCID,Bais Abdul1ORCID

Affiliation:

1. Department of Electronic Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, Canada

Funder

Croptimistic Technology Inc., Natural Sciences and Engineering Research Council of Canada (NSERC), and MITACS

NSERC Discovery Grant through the Crop Stress Management Using Multi-Source Data Fusion

NSERC Alliance Grant through the Ground Truth Validation of Crop Growth Cycle Using High-Resolution Proximal and Remote Sensing

MITACS Accelerate through the Estimating Organic Matter, Soil Surface Roughness, Plant Stand Count, and Inter-Plant Spacing from High-Resolution RGB Imagery

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference62 articles.

1. STANDARD PROCEDURE IN THE HYDROMETER METHOD FOR PARTICLE SIZE ANALYSIS

2. Rethinking the inception architecture for computer vision;szegedy;Proc IEEE Conf Comput Vis Pattern Recognit (CVPR),2015

3. Hydrometer method against pipette method for estimating soil particle size distribution in some soil types selected from central Sudan;elfaki;International Journal of Advanced Research in Technology,2016

4. End to End Segmentation of Canola Field Images Using Dilated U-Net

5. Simplified Method for Soil Particle-Size Determination to Accompany Soil-Quality Analyses

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