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.
https://doi.org/10.1007/s12109-024-09976-2
Detecting the Impact of Academics Self-Citations: Fi-Score
2024
hybrid
https://link.springer.com/content/pdf/10.1007/s12109-024-09976-2.pdf
Luca Fiorillo
Department of Biomedical and Dental Sciences, Morphological and Functional Images, University of Messina, Via Consolare Valeria, 1, 98100, Messina, Italy
Artículo obtenido de:
OpenAlex
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio