Direct application end effector for a precise weed control robot

Jeon, Hong Young; Tian, Lei

doi:10.1016/j.biosystemseng.2009.09.005

Cited by 29 publications

(10 citation statements)

References 16 publications

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“…Research into applying chemical directly to weeds using a robot arm was reported by Jeon and Tian . The robot tool incorporates a small cutting tool that makes a cut on the weed, exposing the plant's vascular tissue, and a micropump to apply chemical to the surface of the cut.…”

Section: State Of the Artmentioning

confidence: 99%

Robot for weed species plant‐specific management

Bawden

Kulk

Russell

et al. 2017

Journal of Field Robotics

139

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The rapid evolution of herbicide-resistant weed species has revitalized research in nonchemical methods for weed destruction. Robots with vision-based capabilities for online weed detection and classification are a key enabling factor for the specialized treatment of individual weed species. This paper describes the design, development, and testing of a modular robotic platform with a heterogeneous weeding array for agriculture. Starting from requirements derived from farmer insights, technical specifications are put forward. A design of a robotic platform is conducted based on the required technical specifications, and a prototype is manufactured and tested. The second part of the paper focuses on the weeding mechanism attached to the robotic platform. This includes aspects of vision for weed detection and classification, as well as the design of a weeding array that combines chemical and mechanical methods for weed destruction. Field trials of the weed detection and classification system show an accuracy of 92.3% across a range of weed species, while the heterogeneous weed management system is able to selectively apply a mechanical or chemical control method based on the species of weed. Together, the robotic platform and weeding array demonstrate the potential for robotic plant-species-specific weed management enabled by the vision-based online detection and classification algorithms.

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Section: State Of the Artmentioning

confidence: 99%

Robot for weed species plant‐specific management

Bawden

Kulk

Russell

et al. 2017

Journal of Field Robotics

139

View full text Add to dashboard Cite

show abstract

“…The development and assessment of the accuracy of an autonomous GPS-based system for intra-row mechanical weed control in row crops (Norremark et al, 2008) Developed and improved the accuracy of autonomous hoeing systems for intra-row weed removal using RTK-GPS navigation Direct application end effector for a precise weed control robot (Jeon & Tian, 2009) Developed a direct herbicide application end effector interfaced with a mobile robot and 90% of weeds showed symptoms of necrosis.…”

Section: Reference Descriptionmentioning

confidence: 99%

Task-based agricultural mobile robots in arable farming: A review

Aravind

Raja

Pérez-Ruiz

2017

Span. j. agric. res.

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In agriculture (in the context of this paper, the terms "agriculture" and "farming" refer to only the farming of crops and exclude the farming of animals), smart farming and automated agricultural technology have emerged as promising methodologies for increasing the crop productivity without sacrificing produce quality. The emergence of various robotics technologies has facilitated the application of these techniques in agricultural processes. However, incorporating this technology in farms has proven to be challenging because of the large variations in shape, size, rate and type of growth, type of produce, and environmental requirements for different types of crops. Agricultural processes are chains of systematic, repetitive, and time-dependent tasks. However, some agricultural processes differ based on the type of farming, namely permanent crop farming and arable farming. Permanent crop farming includes permanent crops or woody plants such as orchards and vineyards whereas arable farming includes temporary crops such as wheat and rice. Major operations in open arable farming include tilling, soil analysis, seeding, transplanting, crop scouting, pest control, weed removal and harvesting where robots can assist in performing all of these tasks. Each specific operation requires axillary devices and sensors with specific functions. This article reviews the latest advances in the application of mobile robots in these agricultural operations for open arable farming and provide an overview of the systems and techniques that are used. This article also discusses various challenges for future improvements in using reliable mobile robots for arable farming.Additional key words: precision agriculture; task-based agricultural robots; soil analysis; seeding; weed detection; harvesting; crop scouting robot Correspondence should be addressed to P. Raja: raja_sastra@yahoo.com

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“…Pada kegiatan penggendalian hama dan penyakit tanaman, penyemprotan pestisida dapat dilakukan secara terkendali oleh operator pada jarak yang aman menggunakan UGV sehingga operator tidak terekspos oleh zat kimia yang berbahaya pada cairan pestisida [5]. Penggendalian gulma yang tumbuh di lahan pertanian dapat dilakukan secara mekanis menggunakan UGV sehingga dapat mengurangi penggunaan zat kimia untuk pengendalian gulma [6]. UGV dapat digunakan untuk membantu petani dalam proses pemanenan sebagai alat transportasi saat petani memanen buah sehingga beban panenan yang dibawa oleh petani bisa lebih besar [7].…”

Section: Pendahuluanunclassified

Untitled

Purbowaskito¹,

Hsu²

2017

INFOTEL

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Abstrak -Saat ini, penelitian terhadap penggunaan UGV dalam bidang industri pertanian dilakukan secara intensif. UGV dapat diaplikasikan dalam bidang industri pertanian dikarenakan operasinya yang fleksibel dan bentuknya yang sesuai dengan kondisi pada lahan pertanian. Salah satu faktor penting dalam pengoperasian UGV di lahan pertanian adalah pengendalian kecepatan geraknya. Kecepatan gerak UGV secara langsung ditentukan oleh kecepatan sudut dari motor DC yang digunakan sebagai tenaga penggerak pada roda-roda UGV. Artikel ini akan mendeskripsikan mengenai perancangan sistem kendali untuk mengendalikan kecepatan motor DC penggerak pada roda UGV. Pengendalian UGV ini dirancang menggunakan sistem kendali PID dimana berdasarkan metode trial dan eror dihasilkan nilai gain persamaan PID sebagai berikut KP = 0.03, KI = 0.0000001, dan KD = 0.005. Kecepatan UGV pada penelitian ini diuji dengan menggunakan dua input perintah kecepatan sudut dalam pemrogramannya. Berdasarkan pengujian sistem kendali menggunakan input 5500 RPM dan 4500 RPM diperoleh hasil bahwa UGV dapat bergerak pada jalur lurus dengan kecepatan yang konstan dengan nilai 0.528 m/s dan 0.431 m/s. Input perintah pada program berupa nilai RPM pada persamaan sistem kendali menghasilkan pengendalian motor DC yang tepat dibandingkan input program berupa nilai PWM secara langsung untuk menggoperasikan motor DC.Kata kunci -UGV, kecepatan, sistem kendali, motor DC Abstract -Nowadays, researches on the UGV usage for agricultural industry are done intensively. UGVs can be applied in agricultural industry sector due to its flexible operation and its suitable shape for agricultural field conditions. An important factor in the UGV operation on agricultural field is the controlling of UGV motion velocity. Directly, the UGV motion velocity is determined by the angular velocity of the DC motors used as the UGV propulsion motor on its wheels. This paper aims to describe the control system design for controlling the UGV propulsion DC motor speed. The UGV control is designed by using the PID control system where based on the trial and error method the PID gains are obtained as follows, KP = 0.03, KI = 0.0000001, and KD = 0.005. The UGV velocity is tested by using two input commands on its programming as the angular velocity. Based on the control system testing with two input commands of 5500 RPM and 4500 RPM, it is obtained that UGV can move on a straight path with constant velocity at 0.528 m/s and 0.431 m/s. The input commands on the UGV programing in RPM values on the designed control system resulting in the proper DC motor speed controller compare to the input commands in PWM values directly to operate the DC motor.

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Direct application end effector for a precise weed control robot

Cited by 29 publications

References 16 publications

Robot for weed species plant‐specific management

Robot for weed species plant‐specific management

Task-based agricultural mobile robots in arable farming: A review

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