Spatially Variable Rate Herbicide Application on Durum Wheat in Sicily

Carrara, Michele; Comparetti, Antonio; Febo, Pierluigi; Orlando, Santo

doi:10.1016/j.biosystemseng.2004.01.004

Cited by 20 publications

(14 citation statements)

References 1 publication

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“…L. (canary grass), Alopecurus myosuroides Huds. (blackgrass), and Galium aparine L. (cleaverwort; Barberi et al, 1997; Carrara et al, 2004; Bertholdsson et al, 2012), as reported by Garcìa-Martìn et al (2007) and Barberi et al (1997).…”

Section: The Wheat/weed Environmentsupporting

confidence: 71%

“…The distribution of grass weeds in cereal crops is usually patchy. Such weed patches can be quite steady over a number of growing cycles, as can weeds such as wild oat, that can cause a 2% yield loss in cereal crops even at low density (one or two plants per m 2 ; Carrara et al, 2004). Herbicide treatments achieve the best results in terms of reducing the weed biomass, followed by hoeing and harrowing (Garcìa-Martìn et al, 2007).…”

Section: The Wheat/weed Environmentmentioning

confidence: 99%

See 1 more Smart Citation

Durum wheat and allelopathy: toward wheat breeding for natural weed management

Fragasso¹,

Iannucci²,

Papa³

2013

Front. Plant Sci.

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Wheat-derived foodstuffs represent about one-fifth of the calories consumed by humans worldwide. Bread wheat (Triticum aestivum L.) is one of the most important crops throughout the world, and it has been extensively studied for its allelopathic potential. In contrast, for allelopathy in durum wheat (Triticum turgidum ssp. durum), our knowledge is partial and fragmentary. Through highlighting recent advances in using allelopathy as a crop-breeding tool, we provide an overview of allelopathy in Triticum spp., to stimulate further coordinated breeding-oriented studies, to favor allelopathy exploitation for the sustainable cultivation of wheat, and in particular, to achieve improved biological weed control.

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Section: The Wheat/weed Environmentsupporting

confidence: 71%

Section: The Wheat/weed Environmentmentioning

confidence: 99%

Durum wheat and allelopathy: toward wheat breeding for natural weed management

Fragasso¹,

Iannucci²,

Papa³

2013

Front. Plant Sci.

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“…The use of input resources such as fertilizers, herbicides or water (Van Alphen and Stoorvogel, 2000;Carrara et al, 2004;Chávez et al, 2010) are matched to the current demand by the crops, Published by Copernicus Publications on behalf of the European Geosciences Union.…”

Section: Introductionmentioning

confidence: 99%

Deploying four optical UAV-based sensors over grassland: challenges and limitations

Burkart²,

et al. 2015

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Abstract. Unmanned aerial vehicles (UAVs) equipped with lightweight spectral sensors facilitate non-destructive, nearreal-time vegetation analysis. In order to guarantee robust scientific analysis, data acquisition protocols and processing methodologies need to be developed and new sensors must be compared with state-of-the-art instruments. Four different types of optical UAV-based sensors (RGB camera, converted near-infrared camera, six-band multispectral camera and high spectral resolution spectrometer) were deployed and compared in order to evaluate their applicability for vegetation monitoring with a focus on precision agricultural applications. Data were collected in New Zealand over ryegrass pastures of various conditions and compared to ground spectral measurements. The UAV STS spectrometer and the multispectral camera MCA6 (Multiple Camera Array) were found to deliver spectral data that can match the spectral measurements of an ASD at ground level when compared over all waypoints (UAV STS: R 2 = 0.98; MCA6: R 2 = 0.92). Variability was highest in the near-infrared bands for both sensors while the band multispectral camera also overestimated the green peak reflectance. Reflectance factors derived from the RGB (R 2 = 0.63) and converted near-infrared (R 2 = 0.65) cameras resulted in lower accordance with reference measurements. The UAV spectrometer system is capable of providing narrow-band information for crop and pasture management. The six-band multispectral camera has the potential to be deployed to target specific broad wavebands if shortcomings in radiometric limitations can be addressed. Large-scale imaging of pasture variability can be achieved by either using a true colour or a modified near-infrared camera.Data quality from UAV-based sensors can only be assured, if field protocols are followed and environmental conditions allow for stable platform behaviour and illumination.

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“…VRT operates on the notion that application rates can be varied as equipment traverses the field thereby increasing input use and field efficiency. Carrara et al (2004) determined that even with significant variability of weed distribution, spatially varying the application of herbicides resulted in a more even yield of grain over the entire field and a 29% herbicide savings compared to the traditional uniform application of herbicides. The advantages of controlling application rate and reducing over/under application usually have associated application errors.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Pressure and Flow Response for Swath Control Technology

Sharda¹,

Fulton²,

McDonald³

et al. 2009

2009 Reno, Nevada, June 21 - June 24, 2009

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Auto-swath technology is being readily adopted by producers across the US because it can improve in-field equipment efficiency and reduce input usage leading to economic savings. Spray controllers with swath control use GPS to track of areas where inputs have already been applied and areas identified to receive no inputs. However, concerns exist for liquid applicators equipped with auto-swath technology about the system response when shutting ON/OFF of boom-sections or nozzles possibly impacting the desired spray pattern and rate. Therefore, an investigation was conducted to evaluate real-time boom dynamics, pressure and flow, for a typical agricultural sprayer using auto-swath technology. An 18.3-m sprayer was outfitted with commercially available individual nozzle and boom-section control was used to determine if difference existed between these different methods of ON/OFF control. Ten high frequency response pressure sensors were randomly mounted across the boom to measure nozzle tip pressure with another sensor located at the boom manifold to record overall system pressure. A flow meter just before the boom manifold provided system flow response. Two point row scenarios having 20° and 70° angles were conducted at 43.2 l/min application rate and 9.7 km/h ground speed. Auto-boom scenarios were conducted with and with-out flow compensation while auto-nozzle scenarios were conducted without flow compensation. Results indicated that 1) pressure deviation between -28% and 29% during 20° and 70° point row auto-boom scenarios resulted in the spray tip flow rate varying from -19.2% to 12.4 % during auto-boom scenarios; 2) nozzle pressure stabilization time (PST) was up to 19.3 sec. while moving OUT and INTO point rows,; 3) 20° point row presented an example of a scenario where the controller was unable to control the application rate during auto-swath initiation; and 4) the sprayer system dynamics were different for moving INTO versus OUT of point rows for all tests. These results suggest different control algorithms and possible hardware improvements are needed for these operating conditions to minimize application errors.

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Spatially Variable Rate Herbicide Application on Durum Wheat in Sicily

Cited by 20 publications

References 1 publication

Durum wheat and allelopathy: toward wheat breeding for natural weed management

Durum wheat and allelopathy: toward wheat breeding for natural weed management

Deploying four optical UAV-based sensors over grassland: challenges and limitations

Real-Time Pressure and Flow Response for Swath Control Technology

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