Abstract
Utilization of remote sensing is a new wave of modern agriculture that accelerates plant breeding and research, and the performance of farming practices and farm management. High-throughput phenotyping is a key advanced agricultural technology and has been rapidly adopted in plant research. However, technology adoption is not easy due to cost limitations in academia. This article reviews various commercial unmanned aerial vehicle (UAV) platforms as a high-throughput phenotyping technology for plant breeding. It compares known commercial UAV platforms that are cost-effective and manageable in field settings and demonstrates a general workflow for high-throughput phenotyping, including data analysis. The authors expect this article to create opportunities for academics to access new technologies and utilize the information for their research and breeding programs in more workable ways.
Highlights
Plant breeding research in the twenty-first century is a combination of genotyping, phenotyping, and computational data analytics [1]
We propose capturing images of the actual traits of the plant in the ground simultaneously with capturing aerial images using the unmanned aerial vehicle (UAV) platform
A georeferencing process using ground control points (GCPs) is required in site-specific image processing to take into consideration the influence of the unstable flight of the UAV platform [8]
Summary
Plant breeding research in the twenty-first century is a combination of genotyping, phenotyping, and computational data analytics [1]. In the last twenty years, sensing technology has become one of the most promising high-throughput phenotyping technologies It provides a non-destructive measurement of crop performance in both controlled and field environments. Satellite and manned aircraft remote sensing platforms can monitor plant behaviors in large areas and measure various data concurrently, based on fine spectral data and wide wavelengths. Their low spatial and temporal resolution and high equipment costs are critical bottlenecks [2]. This article reviews various methodologies and applications for phenotyping using commercial UAV platforms It focuses on cost-effective equipment and end-to-end workflow to improve the accuracy and speed of utilizing collected datasets
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