Agricultural Automation in the new Millennium

Kassler, Michael

doi:10.1016/s0168-1699(00)00167-8

Cited by 27 publications

(10 citation statements)

References 2 publications

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“…This is not only due to the problems related to the overall stability of the vehicle (Gravalos et al, 2011;Hunter, 1993;Previati, Gobbi, & Mastinu, 2014) but in the past was due to the lack of a sufficient technology for creating safe and stable systems (Kassler, 2001). The mechanisation of side-slope activities has therefore been studied since the 1980s and is still an active field of research.…”

Section: Abbreviationsmentioning

confidence: 99%

Evaluation and stability comparison of different vehicle configurations for robotic agricultural operations on side-slopes

Vidoni

Bietresato

Gasparetto

et al. 2015

Biosystems Engineering

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Section: Abbreviationsmentioning

confidence: 99%

Evaluation and stability comparison of different vehicle configurations for robotic agricultural operations on side-slopes

Vidoni

Bietresato

Gasparetto

et al. 2015

Biosystems Engineering

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“…In [13], some reasons have been described as to why a number of prototype automation systems, which were developed in the 20th century, have not yet proceeded to commercialization. Some barriers that have deterred this are identified, and to overcome these barriers, it is suggested that future researches focus on this issue.…”

Section: A Agricultural Automation By Use Of Automatic Systems and Smentioning

confidence: 99%

“…Some of them are: Agricultural Automation by use of Automatic systems and sensors [13], NEPER: a multiple strategy wheat expert system [14], TROPOS: a multi-agent system for integrated protection in agriculture [15], the sharing of water between different users: multi-agent system to improve the negotiation [16]. Considering these methodologies, in order to increase efficiency and speed, accuracy and to decrease cost, we have developed a multi-agent system for mushroom cultivation mechanization which improves this process considerably by increasing performance, maximizing speed and minimizing the cost of production.…”

mentioning

confidence: 99%

A Novell Mushroom Cultivation Mechanization Architecture by Using Multi-Agent and parallelism Systems

Davahli¹,

Aminian²,

Noghrehabadi³

2014

IJCSAI

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Abstract-To increase efficiency, speed, accuracy and to decrease cost, the recent approaches in developing decision support systems for agriculture, and more generally for environmental problems management, tend to adopt a "systemic" approach. This paper presents a new methodology for mechanization of mushroom cultivation which can be applied to other agricultural products. We are using a multi-agent system to parallelize most of mechanization steps which can considerably increase the speed and efficiency of cultivation or production. This system consists of six agents, namely, Monitoring of environmental condition, Preparation of Compost, Day counter, Temperature regulator, Sprinkler and Harvest. The paper provides a review on the studies on mechanization with multi-agent and the other methods, the multi-agent model, functionality of each agent, the overall efficiency of this methodology and compares it with some other existing works.

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“…So far, robots have been slow in their translation to farming because of the unstructured environment of biological production processes and the inherent variability of biological systems . In addition to this, the cost of mechanical technology, limited capacity, and potential legal risks are but a few of the challenges to be overcome . Agricultural robots will be developed to work safely alongside humans across a broad range of environments to help improve agricultural efficiencies and boost crop yields, with benefits including reduced crop wastage, pesticide usage, and energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Robot for weed species plant‐specific management

Bawden

Kulk

Russell

et al. 2017

Journal of Field Robotics

143

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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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Agricultural Automation in the new Millennium

Cited by 27 publications

References 2 publications

Evaluation and stability comparison of different vehicle configurations for robotic agricultural operations on side-slopes

Evaluation and stability comparison of different vehicle configurations for robotic agricultural operations on side-slopes

A Novell Mushroom Cultivation Mechanization Architecture by Using Multi-Agent and parallelism Systems

Robot for weed species plant‐specific management

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