Electrical methods of killing plants

Diprose, M. F.; Benson, F.A.

doi:10.1016/s0021-8634(84)80021-9

Cited by 49 publications

(50 citation statements)

References 3 publications

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“…The practice of weed control via electric shock is called electrocution. Although it is a less-researched domain, evidence supports the fact that weeds can be killed by spark discharge or electrical contact (Diprose and Benson 1984;Parish 1990). The strength of electric shock, contact or exposure duration, weed species, morphological features, and growth stage significantly affect the success of electrocution.…”

Section: Thermal Weed Managementmentioning

confidence: 99%

“…The strength of electric shock, contact or exposure duration, weed species, morphological features, and growth stage significantly affect the success of electrocution. The severity of damage is aggravated in cases of dry soil conditions (Diprose and Benson 1984). However, because of higher costs involved, energy crises, and hazards to operators, its application in agriculture is limited.…”

Section: Thermal Weed Managementmentioning

confidence: 99%

“…The use of acquisition, georeferencing, and mosaicking in UAV imaging has improved this Lass et al (1996); Thorp and Tian (2004) a Abbreviations: CC, conventional color; CIR, color infrared; GPS, global positioning system; GIS, geographic information system. Lee et al (1999) Tested precision spray system in robotic weed control system for cotton and found it effective Lamm et al (2002) Evaluated the efficacy of glyphosate application mixed with surfactants, keeping in view the microdrift and deposition in view and found that targeted robotic microsprayers are effective with least phytotoxic damage to main crops Downey et al (2004) Studied targeted herbicide effectiveness against pigweed, spotted spurge [Chamaesyce maculata (L.) Small], and black nightshade (Solanum nigrum L.) and found it effective Giles et al (2004) Thermal Flame weeding through robotics Lalor and Buchele (1969) Suitable for organic farming and conservation systems, least soil damage, effective against small weeds Developed and evaluated precision spray system to apply high-temperature organic soils to kill barnyardgrass, horse purslane, and black nightshade and found it highly effective Giles et al (2004) Electrical Studied the potential of continuous current and electric shock to kill weeds Diprose and Benson (1984) No chemical or fire hazards, not much proximity to weeds required, very fast in action…”

Section: Precision Weed Managementmentioning

confidence: 99%

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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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Section: Thermal Weed Managementmentioning

confidence: 99%

Section: Thermal Weed Managementmentioning

confidence: 99%

Section: Precision Weed Managementmentioning

confidence: 99%

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Nonconventional Weed Management Strategies for Modern Agriculture

2015

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“…, 1990). Unlike most other non‐chemical weed control methods, Diprose and Benson (1984) reported some damage to roots and rhizomes of weeds as the current flows through a substantial part of the tissue before leaving the root system, especially when the soil is dry.…”

Section: Introductionmentioning

confidence: 96%

A review of non‐chemical weed control on hard surfaces

Rask

Kristoffersen

2007

Weed Research

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SummaryWeed control research to date has mainly focused on arable land, especially regarding herbicides, but also regarding non-chemical methods. Some of these experiences can be applied to hard surface areas. However, weeds on hard surface areas cause problems that are different from those on arable land. Additionally, crop tolerance does not need to be considered when choosing an appropriate weed control method on these areas. The aim of this review is to describe current knowledge of weeds and weed control methods on hard surface areas and reveal potential ways of advancement. One of the shortcomings of non-chemical weed control on hard surfaces thus far, is a lack of proper definition of efficiency of the weed control methods. To obtain effective control, more frequently repeated treatments are required than chemical weed management, thereby increasing the costs of labour and fuel. One way to reduce costs can be by adjusting the level of control to the required visual street quality. Weeds are adapted to the hard surface environment and may be less susceptible to certain control methods. This review indicates that for efficient weed control on hard surfaces there is a need for combining weed control techniques, applying sensors for detecting weeds, adapting the energy dose to type of weed flora and prevention of weeds by improved construction of new surfaces.

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“…Such sensors can be used, for example, to selectively sense weeds that are taller than the crop (Diprose and Benson 1984 ). However, these types of sensors typically have several constraints limiting their use.…”

Section: Introductionmentioning

confidence: 99%

The Biological Engineer: Sensing the Difference Between Crops and Weeds

Slaughter

2013

Automation: The Future of Weed Control in Cropping Systems

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This chapter describes the current state of the art in technology and methodology being used to develop sensors for automated weed control in cropping systems. The development of a reliable universal weed vs. crop plant sensor that works well in a wide range of crops and cropping systems is a formidable task. The discussion in this chapter highlights the signifi cant progress that has been made in developing new, more robust, automatic sensing systems that can differentiate crop plants from weeds. Case studies documenting high levels of success in trials conducted outdoors in the natural, largely uncontrolled environment of an agricultural cropping system are presented. A discussion of the strengths and current challenges of the more successful weed and crop sensing techniques is provided. In many cases the methodology has utilized site-or condition-specifi c a priori knowledge to make the sensors smarter in a local context. This chapter highlights the advantages and compromises made in using these techniques. The chapter concludes with a discussion of the remaining engineering challenges to the development of a comprehensive, multifaceted fusion of several methods for sensing the differences between crops and weeds across the entire crop production cycle, and how the rapid development of advanced sensing and machine learning technologies will facilitate new plant recognition architectures and systems to achieve the level of machine recognition of weeds needed for automated weed control in cropping systems.

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Electrical methods of killing plants

Cited by 49 publications

References 3 publications

Nonconventional Weed Management Strategies for Modern Agriculture

Nonconventional Weed Management Strategies for Modern Agriculture

A review of non‐chemical weed control on hard surfaces

The Biological Engineer: Sensing the Difference Between Crops and Weeds

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