Open AccessA Step-by-Step Guide for Automated Plant Canopy Delineation Using Deep Learning: An Example in Strawberry Using ArcGIS Pro Software
Author(s) -
Amr Abd-Elrahman,
Katie Britt,
Vance M. Whitaker
Publication year - 2021
Publication title -
edis
Language(s) - English
Resource type - Journals
ISSN - 2576-0009
DOI - 10.32473/edis-fr441-2021
Subject(s) - workflow , convolutional neural network , computer science , software , process (computing) , artificial neural network , artificial intelligence , remote sensing , database , data mining , geography , operating system
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.