Image analysis aplications in precision agriculture

Wilson Fernando Moreno, Héctor Iván Tangarife, Andrés Escobar Díaz
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引用次数: 1

Abstract

Unmanned Aircraft Vehicles (UAVs) are currently used for multiple applications in various fields: forestry, geology, the livestock sector and security. Among the most common applications, it is worth to stand out the image acquisition, irrigation, transport, surveillance and others. The study that one presents treats of the implementations that are realized by means of aerial images acquired with UAVs directed to the farming. Images acquired until recent years had been using satellites, however due to the high costs that are incurred and low accessibility to these technologies, UAVs, have become a tool for greater precision and scope for making decisions in agriculture. Information from databases of international magazines, groups and research centers is taken to determine the current state of implementations in Precision Agriculture (PA). This article describes tasks such as: soil preparation; limits and land areas, vegetation monitoring; classification of vegetation, growth, height, plant health; diseases management, pests and weeds, fertilization and inventory developed from analysis of aerial images acquired with UAVs.
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图像分析在精准农业中的应用
无人机目前在林业、地质、畜牧业和安全等各个领域有着广泛的应用。在最常见的应用中,值得一提的是图像采集、灌溉、运输、监控等。这项研究介绍了通过无人机获取的用于农业的航空图像实现的方法。近年来获得的图像一直使用卫星,但由于成本高昂,而且这些技术的可及性较低,无人机已成为提高农业决策精度和范围的工具。来自国际杂志、团体和研究中心数据库的信息用于确定精准农业(PA)的实施现状。本文介绍了以下任务:土壤处理;界限和土地面积、植被监测;植被分类、生长、高度、植物健康;疾病管理、害虫和杂草、施肥和库存,这些都是通过分析无人机获得的航空图像而开发的。
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