Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challenges
作者机构：Biosystems Engineering Department“Luiz de Queiroz”College of AgricultureUniversity of São PauloAv.Pádua Dias11Piracicaba-SP13418-900Brazil Research Group on AgroICT and Precision AgricultureDepartment of Agricultural and Forest EngineeringSchool of Agrifood and Forestry Science and EngineeringUniversity of Lleida–Agrotecnio CenterAv.Rovira Roure19125198LleidaCataloniaSpain CSIROWaite CampusLocked Bag 2Glen OsmondSA5064Australia
出 版 物：《Horticulture Research》 (园艺研究（英文）)
年 卷 期：2018年第5卷第1期
页 面：480-490页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：We thank the São Paulo Research Foundation(FAPESP)for providing a scholarship to the first author(grant:2013/18853-0) the Coordination for the Improvement of Higher Education Personnel(CAPES),for funding the first author at the University of Lleida(grant:bex_3751/15-5)
摘 要：Ultrasonic and light detection and ranging(LiDAR)sensors have been some of the most deeply investigated sensing technologies within the scope of digital *** can accurately estimate geometrical and structural parameters of the tree canopies providing input information for high-throughput phenotyping and precision horticulture.A review was conducted in order to describe how these technologies evolved and identify the main investigated topics,applications,and key points for future investigations in horticulture *** research efforts have been focused on the development of data acquisition systems,data processing,and high-resolution 3D modeling to derive structural tree parameters such as canopy volume and leaf *** applications of such sensors for precision horticulture were restricted to real-time variable-rate solutions where ultrasonic or LiDAR sensors were tested to adjust plant protection product or fertilizer dose rates according to the tree volume *** studies exploring other applications in site-specific management are encouraged;some that integrates canopy sensing data with other sources of information collected at the within-grove scale(e.g.,digital elevation models,soil type maps,historical yield maps,etc.).Highly accurate 3D tree models derived from LiDAR scanning demonstrate their great potential for tree ***,the technology has not been widely adopted by researchers to evaluate the performance of new plant varieties or the outcomes from different management *** solutions for tree scanning of whole groves,orchards,and nurseries would promote such adoption and facilitate more applied research in plant phenotyping and precision horticulture.
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