scholarly journals Crop Monitoring using Unmanned Aerial Vehicles: A Review

2021 ◽  
Author(s):  
Jose Cuaran ◽  
Jose Leon
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Precision Agriculture ◽  
Environmental Changes ◽  
Great Opportunity ◽  
Crop Monitoring ◽  
Sensing Applications ◽  
Aerial Vehicles ◽  
Monitoring Applications ◽  
Common Application

Unmanned aerial vehicles (UAVs) or drones have been developed significantly over the past two decades, for a wide variety of applications such as surveillance, geographic studies, fire monitoring, security, military applications, search and rescue, agriculture, etc. In agriculture, for example, remote sensing by means of unmanned aerial vehicles has proven to be the most efficient way to monitor crops from images. Unlike remote sensing from satellite images or taken from manned aircraft, UAVs allow capturing images of high spatial and temporal resolution, thanks to their maneuverability and capability of flying at low altitude. This article presents an extensive review of the literature on crop monitoring by UAV, identifying specific applications, types of vehicles, sensors, image processing techniques, among others. A total of 50 articles related to crop monitoring applications of UAV in agriculture were reviewed. Only journal articles indexed in the Scopus database with more than 50 citations were considered. It was found that cereals are the most common crops where remote sensing has been applied so far. In addition, the most common crop remote sensing applications are related to precision agriculture, which includes the management of weeds, pests, diseases, nutrients and others. Crop phenotyping is also a common application of remote sensing, which consists of the evaluation of a crop’s physical characteristics under environmental changes, to select the plants or seeds with favorable genotype and phenotype. Besides, multirotor is the most common type of UAV used for remote sensing and RGB and multispectral cameras are mostly used as sensors for this application. Finally, there is a great opportunity for research in remote sensing related to a wide variety of crops, crop monitoring applications, vegetation indexes and photogrammetry.

scholarly journals Comparison of Small Unmanned Aerial Vehicles Performance Using Image Processing

2016 ◽  
Author(s):  
Esteban Cano ◽  
Ryan Horton ◽  
Chase Liljegren ◽  
Duke M. Bulanon
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Unmanned Aerial Vehicles ◽  
Precision Agriculture ◽  
Farm Management ◽  
Rectilinear Motion ◽  
Straight Path ◽  
Aerial Vehicles ◽  
Management Technology ◽  
The Stability

Precision agriculture is a farm management technology that involves sensing and then responding to the observed variability in the field. Remote sensing is one of the tools of precision agriculture. The emergence of small unmanned aerial vehicles (sUAV) have paved the way to accessible remote sensing tools for farmers. This paper describes the comparison of two popular off-the-shelf sUAVs: 3DR Iris and DJI Phantom 2. Both units are equipped with a camera gimbal attached with a GoPro camera. The comparison of the two sUAV involves a hovering test and a rectilinear motion test. In the hovering test, the sUAV was allowed to hover over a known object and images were taken every second for two minutes. The position of the object in the images was measured and this was used to assess the stability of the sUAV while hovering. In the rectilinear test, the sUAV was allowed to follow a straight path and images of a lined track were acquired. The lines on the images were then measured on how accurate the sUAV followed the path. Results showed that both sUAV performed well in both the hovering test and the rectilinear motion test. This demonstrates that both sUAVs can be used for agricultural monitoring.

scholarly journals Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial Vehicles

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5507 ◽  
Author(s):  
Alexander Jenal ◽  
Georg Bareth ◽  
Andreas Bolten ◽  
Caspar Kneer ◽  
Immanuel Weber ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Short Wave ◽  
Vegetation Monitoring ◽  
Sensing Applications ◽  
Aerial Vehicles ◽  
Remote Sensing Applications ◽  
Short Wave Infrared

Short-wave infrared (SWIR) imaging systems with unmanned aerial vehicles (UAVs) are rarely used for remote sensing applications, like for vegetation monitoring. The reasons are that in the past, sensor systems covering the SWIR range were too expensive, too heavy, or not performing well enough, as, in contrast, it is the case in the visible and near-infrared range (VNIR). Therefore, our main objective is the development of a novel modular two-channel multispectral imaging system with a broad spectral sensitivity from the visible to the short-wave infrared spectrum (approx. 400 nm to 1700 nm) that is compact, lightweight and energy-efficient enough for UAV-based remote sensing applications. Various established vegetation indices (VIs) for mapping vegetation traits can then be set up by selecting any suitable filter combination. The study describes the selection of the individual components, starting with suitable camera modules, the optical as well as the control and storage parts. Special bandpass filters are used to select the desired wavelengths to be captured. A unique flange system has been developed, which also allows the filters to be interchanged quickly in order to adapt the system to a new application in a short time. The characterization of the system was performed in the laboratory with an integrating sphere and a climatic chamber. Finally, the integration of the novel modular VNIR/SWIR imaging system into a UAV and a subsequent first outdoor test flight, in which the functionality was tested, are described.

scholarly journals Remote sensing

2020 ◽  
pp. 18
Author(s):  
Manuel Perez Ruiz ◽  
Jorge Martinez Guanter
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Precision Agriculture ◽  
Related Data ◽  
Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) are becoming a common tool in Precision Agriculture. Combined with different sensors and devices, UAVs can be capturing high geo-referenced resolution images and enable the acquisition of real-time crop-related data. We will go through the main typologies and characteristics of UAVs, different sensors and utilities and other applications of UAVs in agriculture.

A Review of Unmanned Aerial Vehicles, Citizen Science, and Interferometry Remote Sensing in Landslide Hazards

2017 ◽  
pp. 469-491 ◽  
Author(s):  
Panagiotis Partsinevelos ◽  
Zacharias Agioutantis ◽  
Achilleas Tripolitsiotis ◽  
Nathaniel Schaefer
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Citizen Science ◽  
Aerial Vehicles ◽  
Landslide Hazards
Sign in / Sign up

Export Citation Format

Share Document