Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV)

Xiang, Haitao; Tian, Lei

doi:10.1016/j.biosystemseng.2010.11.010

Cited by 421 publications

(190 citation statements)

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“…The work presented by Córcoles et al (2013) presents the option of automate this task, monitoring with drones, and GPS incorporated system with mission routes covering the strawberry plants area, especially if cultivated in the field (Xiang & Tian, 2011). In addition, it could help researches that requires the estimation of leaf coverage to study other abnormalities presents in plants through their leaflets (Demirsoy, 2009).…”

Section: Resultsmentioning

confidence: 99%

Method for estimating leaf coverage in strawberry plants using digital image processing

Sandino

Ramos-Sandoval

Amaya

2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TIn farming the measurement of leaf coverage is considered as an exhaustive task for the researchers due to most of the time they do not have access to the adequate tool for this purpose. A new algorithm, implemented in this investigation, allows to estimate by means of a non-destructive method, the leaf coverage value of strawberry plants (fragaria x ananassa) of the cultivar Albion in the Cajicá region, Colombia, by using digital image processing techniques ( DPI). The DPI based technique includes the smoothing, dilatation, contour detection, threshold and edges detection operations. The image acquisition system was conducted by means of photographic images in plants in study, directly from the beds of the crop and the captures were subsequently processed through the proposed algorithm. The obtained results show the measured values of the plants leaf coverage in cm 2 , with up to 90% of accuracy. This system gives an important contribution to the crop evolution analysis by computational tools, making easier the monitoring work.Método para estimar a cobertura foliar das plantas de morango usando processamento de imagem digital R E S U M O Na agricultura a medição da cobertura de folha é considerada como uma tarefa exaustiva para os pesquisadores, devido na maioria das vezes eles não terem acesso à ferramenta para este proposito. Um novo algoritmo, implementado nesta investigação permite estimar, por meio de um método não destrutivo, o valor de cobertura foliar das plantas de morango (fragaria x ananassa) da cultivar Albion na região de Cajicá, Colômbia, usando técnicas de processamento digital de imagens (PDI). A técnica baseada em PDI inclui as operações de suavização, dilatação, detecção de contorno, limiarização e detecção de bordas. O sistema de aquisição de imagem foi realizado por meio de imagens fotográficas nas plantas em estudo, diretamente dos canteiros da cultura e as capturas foram posteriormente processadas mediante o algoritmo proposto. Os resultados obtidos mostram os valores medidos da cobertura foliar de plantas em cm 2 , com até 90% de precisão. Este sistema proporciona uma importante contribuição para a análise da evolução das culturas por ferramentas computacionais, tornando mais fácil o trabalho de monitoramento. Key words:imaging fragaria x ananassa non-destructive method Palavras-chave: imagem fragaria x ananassa método não-destrutivo

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Section: Resultsmentioning

confidence: 99%

Method for estimating leaf coverage in strawberry plants using digital image processing

Sandino

Ramos-Sandoval

Amaya

2016

Rev. bras. eng. agríc. ambient.

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“…These are automated drones with fixed high-resolution cameras, able to fly at very low altitudes. Given their ability to fly immediately, frequent high-resolution imaging capabilities, capacity to capture images even under clouds, placement flexibility, and economic feasibility are the unique selling points of UAVs, which make viable tools for future automated weed management (Anderson and Gaston 2013; Peña et al 2013;Torres-Sánchez et al 2013 Xiang andTian 2011). The use of UAVs in agriculture is still premature but encouraging.…”

Section: Precision Weed Managementmentioning

confidence: 99%

“…The use of UAVs in agriculture is still premature but encouraging. A UAV was used in monitoring glyphosate application to turf grasses through multispectral imaging (Xiang and Tian 2011). In another study, Primicerio et al (2012) used a six-rotor UAV to sense vineyard growth through a multispectral camera.…”

Section: Precision Weed Managementmentioning

confidence: 99%

Nonconventional Weed Management Strategies for Modern Agriculture

2015

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Weeds are a significant problem in crop production and their management in modern agriculture is crucial to avoid yield losses and ensure food security. Intensive agricultural practices, changing climate, and natural disasters affect weed dynamics and that requires a change in weed management protocols. The existing manual control options are no longer viable because of labor shortages; chemical control options are limited by ecodegradation, health hazards, and development of herbicide resistance in weeds. We are therefore reviewing some potential nonconventional weed management strategies for modern agriculture that are viable, feasible, and efficient. Improvement in tillage regimes has long been identified as an impressive weed-control measure. Harvest weed seed control and seed predation have been shown as potential tools for reducing weed emergence and seed bank reserves. Development in the field of allelopathy for weed management has led to new techniques for weed control. The remarkable role of biotechnological advancements in developing herbicide-resistant crops, bioherbicides, and harnessing the allelopathic potential of crops is also worth mentioning in a modern weed management program. Thermal weed management has also been observed as a useful technique, especially under conservation agriculture systems. Last, precision weed management has been elaborated with sufficient details. The role of remote sensing, modeling, and robotics as an integral part of precision weed management has been highlighted in a realistic manner. All these strategies are viable for today's agriculture; however, site-specific selection and the use of right combinations will be the key to success. No single strategy is perfect, and therefore an integrated approach may provide better results. Future research is needed to explore the potential of these strategies and to optimize them on technological and cultural bases. The adoption of such methods may improve the efficiency of cropping systems under sustainable and conservation practices.

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“…The capability of acquiring high-temporal and spatial resolution data at low operational and hardware costs, have made UASs an attracting solution for aerial surveying in many fields (Eisenbeiß, 2009): forestry and agriculture monitoring (Berni, 2009;Hunt, 2010;Xiang, 2011), environmental and atmospheric observation (Watai, 2006;Hardin, 2011), cultural heritage and archaeological sites surveying (Remondino, 2009;Chiabrando, 2011), 3D building reconstruction (Remondino, 2011;Nex, 2014), disaster management (Zhang, 2009;Zhou, 2009). Open-pits surveying is one of the most interesting application for UAS systems because these areas affect the surrounding environment and must be monitored frequently.…”

Section: Related Workmentioning

confidence: 99%

Modelling Steep Surfaces by Various Configurations of Nadir and Oblique Photogrammetry

Casella

Franzini

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Commission I, ICWG I/VbKEY WORDS: Photogrammetry, UAS, Sandpit, Point Cloud, Analysis, Assessment ABSTRACT:Among the parts of the territory requiring periodical and careful monitoring, many have steep surfaces: quarries, river basins, landslides, dangerous mountainsides. Aerial photogrammetry based on lightweight unmanned aircraft systems (UAS) is rapidly becoming the tool of election to survey limited areas of land with a high level of detail. Aerial photogrammetry is traditionally based on vertical images and only recently the use of significantly inclined imagery has been considered. Oblique photogrammetry presents peculiar aspects and offers improved capabilities for steep surface reconstruction. Full comprehension of oblique photogrammetry still requires research efforts and the evaluation of diverse case studies. In the present paper, the focus is on the photogrammetric UAS-based survey of a part of a large sandpit. Various flight configurations are considered: ordinary linear strips, radial strips (as the scarp considered has a semi-circular shape) and curved ones; moreover, nadir looking and oblique image blocks were acquired. Around 300 control points were measured with a topographic total station. The various datasets considered are evaluated in terms of density of the extracted point cloud and in terms of the distance between the reconstructed surface and a number of check points.

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Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV)

Cited by 421 publications

References 5 publications

Method for estimating leaf coverage in strawberry plants using digital image processing

Method for estimating leaf coverage in strawberry plants using digital image processing

Nonconventional Weed Management Strategies for Modern Agriculture

Modelling Steep Surfaces by Various Configurations of Nadir and Oblique Photogrammetry

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