A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China

Zhang, Haidong; Wang, Lingqing; Ting, Tian; Yin, Jianghai

doi:10.3390/rs13061221

Cited by 121 publications

(60 citation statements)

References 69 publications

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“…Remote sensing by satellites and aircraft provides the ability to collect data on a large spatial scale, but long revisit periods, cloud congestion and high costs limit the use of these tools in remote sensing. In addition, satellite images have low spatial resolution [47]. For this reason, recently, UAVs have become much more popular than other vehicles, with advantages such as flexibility of movement, ease of use, low cost and high spatial resolution [48].…”

Section: Remote Sensingmentioning

confidence: 99%

A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

et al. 2022

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The increasing world population makes it necessary to fight challenges such as climate change and to realize production efficiently and quickly. However, the minimum cost, maximum income, environmental pollution protection and the ability to save water and energy are all factors that should be taken into account in this process. The use of information and communication technologies (ICTs) in agriculture to meet all of these criteria serves the purpose of precision agriculture. As unmanned aerial vehicles (UAVs) can easily obtain real-time data, they have a great potential to address and optimize solutions to the problems faced by agriculture. Despite some limitations, such as the battery, load, weather conditions, etc., UAVs will be used frequently in agriculture in the future because of the valuable data that they obtain and their efficient applications. According to the known literature, UAVs have been carrying out tasks such as spraying, monitoring, yield estimation, weed detection, etc. In recent years, articles related to agricultural UAVs have been presented in journals with high impact factors. Most precision agriculture applications with UAVs occur in outdoor environments where GPS access is available, which provides more reliable control of the UAV in both manual and autonomous flights. On the other hand, there are almost no UAV-based applications in greenhouses where all-season crop production is available. This paper emphasizes this deficiency and provides a comprehensive review of the use of UAVs for agricultural tasks and highlights the importance of simultaneous localization and mapping (SLAM) for a UAV solution in the greenhouse.

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Section: Remote Sensingmentioning

confidence: 99%

A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

et al. 2022

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“…By mapping the camera's positions and orientation, SfM permits the generation of multiple point clouds that represent the object's geometry, converting aerial images into 3D models [12,50,58]. Thus, the use of UAVs has been considered a new technological revolution in the field of photogrammetry since it presents a high flexibility and low cost, and a complexity of operations compared to traditional methods [30,59]. Martinez et al [60] optimised the location of risk areas on construction sites using 3D models generated by photographs taken via UAVs.…”

Section: Uav Applications In Construction Planning and Monitoringmentioning

confidence: 99%

The Use of Unmanned Aerial Vehicles for Dynamic Site Layout Planning in Large-Scale Construction Projects

et al. 2021

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Construction sites are increasingly complex, and their layout have an impact on productivity, safety, and efficiency of construction operations. Dynamic site layout planning (DSLP) considers the adjustment of construction facilities on-site, on an evolving basis, allowing the relocation of temporary facilities according to the stages of the project. The main objective of this study is to develop a framework for integrating unmanned aerial vehicles (UAVs) and their capacity for effective photogrammetry with site layout planning optimisation and Building Information Modelling (BIM) for automating site layout planning in large construction projects. The mathematical model proposed is based on a mixed integer programming (MIP) model, which was employed to validate the framework on a realistic case study provided by an industry partner. Allocation constraints were formulated to ensure the placement of the facilities in feasible regions. Using information from the UAV, several parameters could be considered, including proximity to access ways, distances between the facilities, and suitability of locations. Based on the proposed framework, a layout was developed for each stage of the project, adapting the location of temporary facilities according to current progress on-site. As a result, the use of space was optimised, and internal transport costs were progressively reduced.

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“…In recent years, the development and application of unmanned aerial vehicles (UAVs) have been rapid. For instance, agricultural industries, construction sectors, commercial delivery corporations, and many others are now eager to adopt aerial robots to boost their working efficiency [ 1 , 2 , 3 ]. Nevertheless, the payload of a UAV is limited by the fixed capacity of the battery, and frequent landing operations are required for battery replacement or recharging.…”

Section: Introductionmentioning

confidence: 99%

Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual–Inertial Approach

Chang

Cheung

et al. 2022

Sensors

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This work aimed to develop an autonomous system for unmanned aerial vehicles (UAVs) to land on moving platforms such as an automobile or a marine vessel, providing a promising solution for a long-endurance flight operation, a large mission coverage range, and a convenient recharging ground station. Unlike most state-of-the-art UAV landing frameworks that rely on UAV onboard computers and sensors, the proposed system fully depends on the computation unit situated on the ground vehicle/marine vessel to serve as a landing guidance system. Such a novel configuration can therefore lighten the burden of the UAV, and the computation power of the ground vehicle/marine vessel can be enhanced. In particular, we exploit a sensor fusion-based algorithm for the guidance system to perform UAV localization, whilst a control method based upon trajectory optimization is integrated. Indoor and outdoor experiments are conducted, and the results show that precise autonomous landing on a 43 cm × 43 cm platform can be performed.

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A Review of Unmanned Aerial Vehicle Low-Altitude Remote Sensing (UAV-LARS) Use in Agricultural Monitoring in China

Cited by 121 publications

References 69 publications

A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

The Use of Unmanned Aerial Vehicles for Dynamic Site Layout Planning in Large-Scale Construction Projects

Proactive Guidance for Accurate UAV Landing on a Dynamic Platform: A Visual–Inertial Approach

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