Artículo

UAV image acquisition and processing for high-throughput phenotyping in agricultural research and breeding programs

Resumen

We are in a race against time to combat climate change and increase food produc-tion by 70% to feed the ever-growing world population, which is expected to doubleby 2050. Agricultural research plays a vital role in improving crops and livestockthrough breeding programs and good agricultural practices, enabling sustainableagriculture and food systems. While advanced molecular breeding technologies havebeen widely adopted, phenotyping as an essential aspect of agricultural researchand breeding programs has seen little development in most African institutions andremains a traditional method. However, the concept of high-throughput phenotyp-ing (HTP) has been gaining momentum, particularly in the context of unmannedaerial vehicle (UAV)-based phenotyping. Although research into UAV-based phe-notyping is still limited, this paper aimed to provide a comprehensive overview andunderstanding of the use of UAV platforms and image analytics for HTP in agricul-tural research and to identify the key challenges and opportunities in this area. Thepaper discusses field phenotyping concepts, UAV classification and specifications,use cases of UAV-based phenotyping, UAV imaging systems for phenotyping, andimage processing and analytics methods. However, more research is required to opti-mize UAVs’ performance for image data acquisition, as limited studies have focusedon the effect of UAVs’ operational parameters on data acquisition.
Espinosa, Isabel (57222222005); Cuenca, Víctor (57329081100); Eissa-Garcés, Ahmed (57224992729); Sisa, Ivan (54421256700)
2021
10.15446/revfacmed.v69n3.94520
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117072944&doi=10.15446%2frevfacmed.v69n3.94520&partnerID=40&md5=214c9c0d0fd00cfa0b91ac4d3e82a67c
Universidad San Francisco de Quito USFQ, College of Health Sciences, Medical School, Quito, Ecuador
All Open Access; Gold Open Access; Green Open Access
Scopus
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