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A review of methods and applications of the geometric characterization of tree crops in agricultural activities

机译:农业活动中树木作物几何特征的方法和应用综述

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摘要

This paper presents the foundations and applications in agriculture of the main systems used for the geometrical characterization of tree plantations, including systems based on ultrasound, digital photographic techniques, light sensors, high-resolution radar images, high-resolution X-ray computed tomography, stereo vision and LIDAR sensors. Amongst these, LIDAR laser scanners and stereo vision systems are probably the most promising and complementary techniques for achieving 3D pictures and maps of plants and canopies. The information about the geometric properties of plants provided by these techniques has innumerable applications in agriculture. Some important agricultural tasks that can benefit from these plant-geometry characterization techniques are the application of pesticides, irrigation, fertilization and crop training. In the field of pesticide application, knowledge of the geometrical characteristics of plantations will permit a better adjustment of the dose of the product applied, improving the environmental and economic impact. However, it is still necessary to resolve several technological and commercial questions. The former include improving detection systems, especially with regard to developing software for the post-processing steps and improving the speed of calculation and decision making. Amongst the latter, it is essential to produce low cost sensors and control systems in order to facilitate large-scale deployment. Obtaining a precise geometrical characterization of a crop at any point during its production cycle by means of a new generation of affordable and easy-to-use detection systems, such as LIDAR and stereo vision systems, will help to establish precise estimations of crop water needs as well as valuable information that can be used to quantify its nutritional requirements. If accurate, this can provide valuable information on which to base more sustainable irrigation and fertilizer dosages. These would be able to meet crop needs and could also be used as part of specific management systems, based on prescription maps, for the application of variable quantities of water and fertilizers. The availability of measurement tools that allow a precise geometric characterization of plantations will also facilitate and enhance research aimed at developing better crop training systems that ensure an optimal distribution of light within the treetops and higher fruit quality. It is therefore of vital importance to continue devoting major efforts to the development of increasingly accurate, robust and affordable systems capable of measuring the geometric characteristics of plantations, which support the development of the different areas of a sustainable and precision agriculture.
机译:本文介绍了用于树木种植园几何表征的主要系统的基础和在农业中的应用,包括基于超声的系统,数字摄影技术,光传感器,高分辨率雷达图像,高分辨率X射线计算机断层扫描,立体视觉和LIDAR传感器。其中,LIDAR激光扫描仪和立体视觉系统可能是实现植物和树冠的3D图片和地图的最有前途和互补的技术。这些技术提供的有关植物几何特性的信息在农业中有无数的应用。可以从这些植物几何特征技术中受益的一些重要农业任务是农药的施用,灌溉,施肥和作物培训。在农药施用领域,了解人工林的几何特性将有助于更好地调整所施用产品的剂量,从而改善环境和经济影响。但是,仍然有必要解决一些技术和商业问题。前者包括改进检测系统,特别是在开发用于后处理步骤的软件以及提高计算和决策速度方面。在后者之中,生产低成本的传感器和控制系统以促进大规模部署至关重要。借助新一代价格合理且易于使用的检测系统(如LIDAR和立体视觉系统),在作物生产周期的任何时候都能获得精确的几何特征,这将有助于建立对作物水需求的精确估算以及可用于量化其营养需求的有价值的信息。如果准确的话,这可以提供有价值的信息,以此作为可持续灌溉和化肥用量的基础。这些将能够满足农作物的需求,还可以根据处方图用作特定管理系统的一部分,以应用可变数量的水和肥料。可以对种植园进行精确的几何表征的测量工具的可用性,也将促进并加强旨在开发更好的农作物培训系统的研究,以确保树梢内光线的最佳分布和更高的果实品质。因此,至关重要的是,继续致力于开发越来越精确,健壮和负担得起的系统,这些系统能够测量人工林的几何特征,从而支持可持续和精确农业的不同领域的发展。

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