A Step-by-Step Guide for Automated Plant Canopy Delineation Using Deep Learning: An Example in Strawberry Using ArcGIS Pro Software

  • Abd-Elrahman A
  • Britt K
  • Whitaker V
N/ACitations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

This publication presents a guide to image analysis for researchers and farm managers who use ArcGIS software. Anyone with basic geographic information system analysis skills may follow along with the demonstration and learn to implement the Mask Region Convolutional Neural Networks model, a widely used model for object detection, to delineate strawberry canopies using ArcGIS Pro Image Analyst Extension in a simple workflow. This process is useful for precision agriculture management.

Cite

CITATION STYLE

APA

Abd-Elrahman, A., Britt, K., & Whitaker, V. (2021). A Step-by-Step Guide for Automated Plant Canopy Delineation Using Deep Learning: An Example in Strawberry Using ArcGIS Pro Software. EDIS, 2021(5). https://doi.org/10.32473/edis-fr441-2021

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free