Intrarow Weed Removal in Broccoli and Transplanted Lettuce with an Intelligent Cultivator

Lati, Ran Nisim; Siemens, Mark C.; Rachuy, John S.; Fennimore, Steven A.

doi:10.1614/wt-d-15-00179.1

Cited by 44 publications

(41 citation statements)

References 18 publications

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“…The relative success of robotic cultivators like Robovator and Steketee IC in specialty crops has so far been in Europe and the Southwestern USA . These cultivators are tractor mounted and cost in excess of $120 000.…”

Section: Autonomous Vehicles With Minimum Till Actuators or Precisionmentioning

confidence: 99%

Robotic weeders can improve weed control options for specialty crops

Fennimore

Cutulle

2019

Pest Management Science

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Specialty crop herbicides are not a priority for the agrochemical industry, and many of these crops do not have access to effective herbicides. High-value fruit and vegetable crops represent small markets and high potential liability in the case of herbicide-induced crop damage. Meanwhile, conventional and organic specialty crop producers are experiencing labor shortages and higher manual weeding costs. Robotic weeders are promising new weed control tools for specialty crops, because they are cheaper to develop and, with fewer environmental and human health risks, are less regulated than herbicides. Now is the time for greater investment in robotic weeders as new herbicides are expensive to develop and few in number, organic crops need better weed control technology and governments are demanding reduced use of pesticides. Public funding of fundamental research on robotic weeder technology can help improve weed and crop recognition, weed control actuators, and expansion of weed science curricula to train students in this technology. Robotic weeders can expand the array of tools available to specialty crop growers. However, the development of robotic weeders will require a broader recognition that these tools are a viable path to create new weed control tools for specialty crops. ActuationActuators consist of devices such as cultivators that uproot weeds, those that damage weed foliage with propane burners, lasers Pest Manag Sci 2019; 75: 1767-1774

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Section: Autonomous Vehicles With Minimum Till Actuators or Precisionmentioning

confidence: 99%

Robotic weeders can improve weed control options for specialty crops

Fennimore

Cutulle

2019

Pest Management Science

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“…Even though this practice reduces the density of weeds, the authors mention that a reduction in the soybean yield can happen. On the contrary, other authors verified that the Robovator (cultivator with camera detection system to detect plants) removed from 18% to 41% more weeds in moderate to high densities, respectively, and reduced the manual removing time of 20% to 45% in comparison to the regular cultivator (without the camera detection system) [34]. The authors mentioned that the Robovator did not reduce broccoli's (Brassica oleracea L. 'Marathon') harvest or marketable yield in comparison to the regular cultivator.…”

Section: Resultsmentioning

confidence: 98%

Efficiency of the Adapted Automatic Row Hoe for Weed Control in Organic Soybean

Fey¹,

Costa²,

Ferreira³

et al. 2020

JEAI

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The objective of the present study was to evaluate the row hoe model CHOPSTAR®, the mechanical control of weeds in between the rows of soybean implanted in organic direct sowing system, associated with the camera-guided system. Two experiments were carried, being that in the first experiment an experimental design with sub-subdivided plots with four replicates. The plots corresponded to two soybean varieties ('Embrapa BRS 284' and 'Coodetec CD 216'), the subplots corresponded to the sowing densities of 329.2 and 574.6 thousand plants ha -1 ; and the subsubplots corresponded to four managements of weeds: one mechanized hoe (2 days after sowing -DAS), two mechanized hoes (22 and 47 DAS), one control manually hoed and other control without hoeing. In the second experiment a randomized block design in subdivided plots with three replicates was used. The plots corresponded to two soybean varieties ('BRS 284' and 'DF 2353'), Fey et al.; JEAI, 42(2): 25-36, 2020; Article no.JEAI.55215 26 the subplots constituted of different times when the hoes were made, being: one (14 DAS); two (7 and 21 DAS; two (14 and 28 DAS); three (7, 14 and 28 DAS); besides one control manually hoed up to 28 DAS. In the first experiment it was observed that the automatized hoe was efficient in controlling the weeds and it was necessary only one mechanized hoe (22 DAS) for the 'BRS 284' independent of the sowing density, while for the 'CD 216' the number of mechanized hoes depended on the sowing density. In the second experiment, it was necessary only one mechanized hoe (14 DAS) to avoid production losses in the varieties 'BRS 284' and 'DF 2353'. The automatized hoe is an alternative to control weeds in areas of organic soybean in direct sowing system, however, damages to the crop can occur depending on the sowing density, mainly in the late management of the mechanized hoe. Original Research Article

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“…In the Robovator, each row has a camera, and images from the cameras are processed to determine the position of the crop, and then the computer signals the actuator to open and close at the proper location (Lati et al 2016;Melander et al 2015). In broccoli and lettuce, the Robovator reduced hand-weeding time by 39% and 27%, respectively, compared with the standard cultivator (Lati et al 2016). Another exciting approach is being developed by Blue River Technology (http://www.bluerivert.com), a robotics company spin out from Stanford University.…”

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

Weed Management in 2050: Perspectives on the Future of Weed Science

et al. 2018

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The discipline of weed science is at a critical juncture. Decades of efficient chemical weed control have led to a rise in the number of herbicide-resistant weed populations, with few new herbicides with unique modes of action to counter this trend and often no economical alternatives to herbicides in large-acreage crops. At the same time, the world population is swelling, necessitating increased food production to feed an anticipated 9 billion people by the year 2050. Here, we consider these challenges along with emerging trends in technology and innovation that offer hope of providing sustainable weed management into the future. The emergence of natural product leads in discovery of new herbicides and biopesticides suggests that new modes of action can be discovered, while genetic engineering provides additional options for manipulating herbicide selectivity and creating entirely novel approaches to weed management. Advances in understanding plant pathogen interactions will contribute to developing new biological control agents, and insights into plant-plant interactions suggest that crops can be improved by manipulating their response to competition. Revolutions in computing power and automation have led to a nascent industry built on using machine vision and global positioning system information to distinguish weeds from crops and deliver precision weed control. These technologies open multiple possibilities for efficient weed management, whether through chemical or mechanical mechanisms. Information is also needed by growers to make good decisions, and will be delivered with unprecedented efficiency and specificity, potentially revolutionizing aspects of extension work. We consider that meeting the weed management needs of agriculture by 2050 and beyond is a challenge that requires commitment by funding agencies, researchers, and students to translate new technologies into durable weed management solutions. Integrating old and new weed management technologies into more diverse weed management systems based on a better understanding of weed biology and ecology can provide integrated weed management and resistance management strategies that will be more sustainable than the technologies that are now failing.

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Intrarow Weed Removal in Broccoli and Transplanted Lettuce with an Intelligent Cultivator

Cited by 44 publications

References 18 publications

Robotic weeders can improve weed control options for specialty crops

Robotic weeders can improve weed control options for specialty crops

Efficiency of the Adapted Automatic Row Hoe for Weed Control in Organic Soybean

Weed Management in 2050: Perspectives on the Future of Weed Science

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