Sensor-Controlled Hooded Sprayer for Row Crops

Hanks, James E.; Beck, James L.

doi:10.1017/s0890037x00043864

Cited by 36 publications

(33 citation statements)

References 7 publications

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“…Gerhards et al (1997) and Gerhards and Sö kefeld (1999) found that herbicide treatment in two fields of winter wheat was only warranted on 55% and 58% of their areas, respectively, and in another field only 54% required treatment. However, herbicide reduction was considerably less than that reported by Hanson and Wicks (1993) and Hanks and Beck (1998) sensors. Consequently, weed treatment with herbicides over the whole field is not required and spatially directed applications do have the potential to reduce herbicide use, with economic and environmental benefits.…”

Section: Discussioncontrasting

confidence: 62%

Patchy weed distribution and site-specific weed control in winter cereals

Nordmeyer¹

2006

Precision Agric

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Site-specific weed control in winter cereals was performed on the same fields every year over a 5-year period (1999)(2000)(2001)(2002)(2003). The most common weeds (Apera spica-venti, Galium aparine, Veronica hederifolia, Viola arvensis) were counted by species, at grid points which were georeferenced and the data were analysed spatially. For weed control, weeds were grouped into three classes: grass, broadleaved weeds (without Galium aparine), and Galium aparine. Based on weed distribution maps generated by the spatial analyses, herbicide application maps were created and site-specific herbicide application was carried out for grouped and or single weed species. This resulted in a significant reduction in herbicide use. Averaging the results for all fields and years, the total field area treated with herbicides was 39% for grass weeds, 44% for broad-leaved weeds (without Galium aparine) and 49% for Galium aparine. Therefore, site-specific weed control has the potential to reduce herbicide use compared to broadcast application, thus giving environmental and economic benefits.

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Section: Discussioncontrasting

confidence: 62%

Patchy weed distribution and site-specific weed control in winter cereals

Nordmeyer¹

2006

Precision Agric

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“…Testing in soybeans showed a 15% reduction in herbicide usage with no apparent decline in the level of weed control. Hanks and Beck (1998) analyzed two commercially available systems, the Detectspray Model S-50 and the WeedSeeker Model PhD 1620, that use photoelectric sensor readings to trigger spray nozzles. Since photoelectric sensors are not able to distinguish between crop and weeds, plastic spray hoods were used to prevent vegetation within the crop rows from triggering the spray.…”

Section: Photo-detectors For Weed Sensingmentioning

confidence: 99%

A Review on Remote Sensing of Weeds in Agriculture

Thorp

Tian

2004

Precision Agriculture

234

127

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In the effort of developing precision agriculture tools, remote sensing has been commonly considered as an effective technique for weed patch delineation, where weed infestations are detected based on variations in the plant canopy spectral response. Because the canopy spectral response is important for weed detection, discussions on the irradiative interaction of light in plant canopies and the effect of variable soil background on the canopy spectral response are presented in this review. Also, a presentation of the current techniques for removal of soil effects, including vegetation indices and spectral mixture analysis, shows that these techniques have not been adequately developed for use in remote sensing-based weed detection applications. Given the nature of light interaction in a plant canopy, this review proposes that the spectral response of a plant canopy depends on both the species and the biomass density. Remote detection of weeds from ground-, aircraft-, and satellite-based platforms has been accomplished on a wide scale, yet the use of these weed detection methods to make variable-rate herbicide applications has not occurred as often. By judging success based on variable-rate herbicide applications rather than precise weed localization, some of the current problems in weed sensing may be skirted.

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“…On the basis of this principle, weed-detection model instruments have been developed. Hanks and Beck (1998) analyzed two commercially available systems, the Detectspray Model S-50 and the WeedSeeker Model PhD 1620, which use photoelectric sensor readings to trigger nozzles for a spraying application. Photoelectric sensors are not able to distinguish between crop and weeds; therefore, plastic spray hoods were used to prevent vegetation within the crop rows from triggering the spray (Thorp and Tian 2004).…”

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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Sensor-Controlled Hooded Sprayer for Row Crops

Cited by 36 publications

References 7 publications

Patchy weed distribution and site-specific weed control in winter cereals

Patchy weed distribution and site-specific weed control in winter cereals

A Review on Remote Sensing of Weeds in Agriculture

Nonconventional Weed Management Strategies for Modern Agriculture

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