Intelligent versus non-intelligent mechanical intra-row weed control in transplanted onion and cabbage

Melander, Bo; Lattanzi, Boris; Pannacci, Euro

doi:10.1016/j.cropro.2015.02.017

Cited by 79 publications

(82 citation statements)

References 16 publications

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“…Typically, vegetable crops like broccoli (Brassica oleracea L. var. botrytis L.) , cabbage (Brassica oleracea L.), field-grown flowers, herbs, lettuce (Lactuca sativa L.), onion (Allium cepa L.), and tomato among others are hand weeded to achieve intrarow weed control (Fennimore et al 2014;Melander et al 2015). Industry has responded to the need for automation of intrarow cultivators.…”

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

“…The Robovator system is designed to detect the difference between the crop plant and weed based on the recognition of the crop row (as described earlier) and the size difference between the crop and weed. 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).…”

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

“…So far, automated lettuce thinners have relied upon control of automated control of spray nozzles to precisely apply herbicides, acids, or fertilizer solutions. Automated intrarow cultivators have relied upon modified hoe blades controlled by processors (Melander et al 2015). However, there are many more weed control technologies to be explored for automation, such as lasers, sequential flaming, or spraying abrasives (Erazo-Barradas et al 2017;Forcella 2009Forcella , 2012Forcella , 2013Nørremark et al 2009).…”

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

“…As an example, the Robovator intrarow cultivator from Denmark is equipped with two flat-blade tines per crop row that undercut weeds at 1 to 2 cm below the soil surface. The tines are positioned in the intrarow area until they approach a crop plant, at which point the computer system opens the tines to safely pass by the crop, then closes them again on the following side (Melander et al 2015). The Robovator system is designed to detect the difference between the crop plant and weed based on the recognition of the crop row (as described earlier) and the size difference between the crop and weed.…”

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

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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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Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

Section: Beginning Of the Robotic Weeding Eramentioning

confidence: 99%

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

et al. 2018

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“…''Intelligent'' weeders that offer more advanced ways to control weeds without causing any damage to the crop are under development. [78][79][80] Therefore, the inclusion of innovative technologies, including advanced sensing and robotics, in combination with new crop systems, might lead to a breakthrough in physical weed control in row crops resulting insignificant reductions, or even elimination, of the need for hand-weeding. Inter-row cultivation and band spraying with an effective herbicide in a HT crop could potentially reduce the risk of HR weeds to evolve.…”

Section: Mechanical Weedingmentioning

confidence: 99%

Integrated weed management systems with herbicide-tolerant crops in the European Union: lessons learnt from home and abroad

Lamichhane

Devos

Beckie

et al. 2016

Critical Reviews in Biotechnology

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Conventionally bred (CHT) and genetically modified herbicide-tolerant (GMHT) crops have changed weed management practices and made an important contribution to the global production of some commodity crops. However, a concern is that farm management practices associated with the cultivation of herbicide-tolerant (HT) crops further deplete farmland biodiversity and accelerate the evolution of herbicide-resistant (HR) weeds. Diversification in crop systems and weed management practices can enhance farmland biodiversity, and reduce the risk of weeds evolving herbicide resistance. Therefore, HT crops are most effective and sustainable as a component of an integrated weed management (IWM) system. IWM advocates the use of multiple effective strategies or tactics to manage weed populations in a manner that is economically and environmentally sound. In practice, however, the potential benefits of IWM with HT crops are seldom realized because a wide range of technical and socio-economic factors hamper the transition to IWM. Here, we discuss the major factors that limit the integration of HT crops and their associated farm management practices in IWM systems. Based on the experience gained in countries where CHT or GMHT crops are widely grown and the increased familiarity with their management, we propose five actions to facilitate the integration of HT crops in IWM systems within the European Union.ARTICLE HISTORY

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Weed Management Systems in Vegetables

Tei

Pannacci

2017

Weed Research

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Intelligent versus non-intelligent mechanical intra-row weed control in transplanted onion and cabbage

Cited by 79 publications

References 16 publications

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

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

Integrated weed management systems with herbicide-tolerant crops in the European Union: lessons learnt from home and abroad

Weed Management Systems in Vegetables

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