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

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(3), P. 1047 - 1047

Published: Jan. 20, 2022

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

Language: Английский

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A Review on Evapotranspiration Estimation in Agricultural Water Management: Past, Present, and Future

Hydrology, Journal Year: 2022, Volume and Issue: 9(7), P. 123 - 123

Published: July 8, 2022

Evapotranspiration (ET) is a major component of the water cycle and agricultural balance. Estimation consumption over areas important for resources planning, management, regulation. It leads to establishment sustainable balance, mitigates impacts scarcity, as well prevents overusing wasting precious resources. As evapotranspiration consumptive use irrigation rainwater on lands, improvements efficiency management in agriculture must be based accurate estimation ET. Applications precision digital technologies, integration advanced techniques including remote sensing satellite technology, usage machine learning algorithms will an advantage enhance accuracy ET management. This paper reviews summarizes technical development available methodologies explores highlights potential achieve precise

Language: Английский

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Review of using small UAV based meteorological measurements for road weather management

Progress in Aerospace Sciences, Journal Year: 2022, Volume and Issue: 134, P. 100859 - 100859

Published: Sept. 22, 2022

Weather phenomena including wind, rain, fog, storms, etc. have large influence on road transport by reducing the speed and capacity 5–40% in moderate cases up to 100% case of extreme weather situations. The existing service systems cannot provide accurate local nowcasting, because their prediction processes, a lack actual measured information atmospheric boundary layer. Technology is ready for development introduction drone-based mobile automatic stations support improved management. This systematic review evaluates readiness required technologies through surveying wide range papers dealing with drone based meteorological measurements utilization It identifies requirements such systems, analyses applicability drones monitoring studies specification instrumentations investigates possible realization planned measurements. results show that (i) significant societal-economic value can be generated improvement nowcasting forecasting users (ii) technology new management services, however UAV tolerance must (iii) concepts software solutions are processing data rapid sharing information.

Language: Английский

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Review on the contribution of farming practices and technologies towards climate-smart agricultural outcomes in a European context

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 7, P. 100413 - 100413

Published: Feb. 15, 2024

The aim of this review was to provide an overview existing farming practices and technologies in Europe by assessing their contribution climate-smart agricultural (CSA) outcomes. Following the PRISMA protocol, 110 final selected studies were scrutinized. Altogether 74 different identified. Using inductive approach, identified categorized, potential towards contextualized CSA outcomes—productivity, resilience, GHG mitigation, biodiversity improvement, animal welfare support, water energy use efficiency—was assessed. Among practices, highlighted legume-based cover crops, crop rotation, intercropping, diversification as having promising achieve technologies, precision fertilization, protection, irrigation showed potential. Moreover, pasture grazing, feed additives, improved forage production holistic husbandry management with contributors emphasizes that utilization smart livestock systems could positively contribute achieving one or more Overall, mitigation farm productivity improvement outcomes relatively well covered reviewed literature. Improvements biodiversity, efficiency, are not demonstrated within studies.

Language: Английский

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Navigating the Future of Agriculture: A Comprehensive Review of Automatic All-Terrain Vehicles in Precision Farming

Journal of The Institution of Engineers (India) Series A, Journal Year: 2024, Volume and Issue: 105(3), P. 767 - 782

Published: June 18, 2024

Language: Английский

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Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring

Agronomy, Journal Year: 2022, Volume and Issue: 12(3), P. 555 - 555

Published: Feb. 23, 2022

Digital farming approach merges new technologies and sensor data to optimize the quality of crop monitoring in agriculture. The successful fusion technology is highly dependent on parameter collection, modeling adoption, integration being accurately implemented according specified needs farm. This technique has not yet been widely adopted due several challenges; however, our study here reviews current methods applications for fusing data. First, highlights different sensors that can be merged with other systems develop methods, such as optical, thermal infrared, multispectral, hyperspectral, light detection ranging radar. Second, using internet things reviewed. Third, shows platforms used a source technologies, ground-based (tractors robots), space-borne (satellites) aerial (unmanned vehicles) platforms. Finally, presents site-specific monitoring, nitrogen, chlorophyll, leaf area index, aboveground biomass, how improve these parameters. further reveals limitations previous provides recommendations their best available sensors. among airborne terrestrial LiDAR method crop, canopy, ground may considered futuristic easy-to-use low-cost solution enhance

Language: Английский

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Risks of Drone Use in Light of Literature Studies

Sensors, Journal Year: 2024, Volume and Issue: 24(4), P. 1205 - 1205

Published: Feb. 13, 2024

This article aims to present the results of a bibliometric analysis relevant literature and discuss main research streams related topic risks in drone applications. The methodology conducted consisted five procedural steps, including planning research, conducting systematic review literature, proposing classification framework corresponding contemporary trends risk applications, compiling characteristics publications assigned each highlighted thematic groups. used PRISMA method. A total 257 documents comprising articles conference proceedings were analysed. On this basis, eight categories use drones associated with their operation distinguished. Due high content within two these categories, further division into subcategories was proposed illustrate topics better. investigation made it possible identify current pointed out existing gaps, both area assessment its application areas. obtained from can provide interesting material for industry academia.

Language: Английский

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A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems

International Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: 45(15), P. 4923 - 4960

Published: July 8, 2024

The accurate assessment and monitoring of crop water status is a critical component precision agriculture. Over the recent decade, unmanned aerial vehicles (UAVs) integrated with high-resolution thermal technologies, have pioneered new era in remote sensing, enabling acquisition near-real-time data essential for efficient management resources within farming systems. With application UAV-based sensors, diverse array key biophysical biochemical indicators that serve as proxies been evaluated. Therefore, this study adopted systematic approach to review progress, challenges, opportunities utilizing UAV sensing assess map In particular, sought explore current state literature identify existing research gaps by analysing bibliometric trends literature. Based on findings study, it was observed even though sensings hold great potential, there currently exists significant their assessing status, particularly global south. Furthermore, results concluded majority reviewed focused canopy temperature, potentially resulting sensors characterizing other water-related remaining relatively underexplored scientific research. Overall, highlight an innovative tool capable providing high-resolution, robust, datasets assessments, therefore, revolutionizing agricultural practices.Therefore, serves stepping stone towards integrating technologies into practices achieving robust spatially explicit information improved landscapes.

Language: Английский

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High-precision plant height measurement by drone with RTK-GNSS and single camera for real-time processing

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: April 18, 2023

Conventional crop height measurements performed using aerial drone images require 3D reconstruction results of several obtained through structure from motion. Therefore, they extensive computation time and their measurement accuracy is not high; if the result fails, photos must be captured again. To overcome these challenges, this study proposes a high-precision method that uses equipped with monocular camera real-time kinematic global navigation satellite system (RTK-GNSS) for processing. This performs stereo matching based on long-baseline lengths (approximately 1 m) during flight by linking RTK-GNSS image capture points. As baseline length typical fixed, once calibrated ground, it does need to again flight. However, proposed requires quick calibration in because fixed. A new zero-mean normalized cross-correlation two stages least square method, further improve speed. The was compared conventional methods natural world environments. It observed error rates reduced 62.2% 69.4%, altitudes between 10 20 m respectively. Moreover, depth resolution 1.6 mm reduction 44.4% 63.0% were achieved at an altitude 4.1 m, execution 88 ms size 5472 × 3468 pixels, which sufficiently fast measurement.

Language: Английский

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Vineyard Microclimatic Zoning as a Tool to Promote Sustainable Viticulture under Climate Change

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3477 - 3477

Published: April 22, 2024

Understanding microclimate spatial variability is crucial for sustainable and optimised grape production within vineyard plots. By employing a combination of model (NicheMapR) multiple climate data sources, this study aimed to achieve microclimatic analysis in two plots, Quinta do Bomfim (northern Portugal) Herdade Esporão (southern Portugal). This approach provides an innovative 10 m resolution variables. incorporated local station hourly with quantile mapping bias correction on the ERA5-land data. The output was employed perform EURO-CORDEX ensemble. Climate extreme bioclimatic indices specifically targeted viticulture were calculated each plot. scale analysed identify potential shifts temperature extremes, precipitation patterns, other climatic variables cultivation specific significance analyses higher areas intricate topography, while smooth slopes, variation determined be negligible. There projected increase median approximately 3.5 °C 3.6 decrease 98 mm 105 Esporão, respectively, when comparing future scenario period 2071–2100 against historical (1981–2010). Hence, offers comprehensive future-oriented method analysing microclimates incorporating geospatial data, NicheMapR model, research enhance understanding current scenarios viticulturists.

Language: Английский

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