Heavy-weight Crop Harvesting Robot - Controlling Algorithm

Kamata, Tatsuki; Roshanianfard, Ali; Noguchi, Noboru

doi:10.1016/j.ifacol.2018.08.165

Cited by 13 publications

(11 citation statements)

References 1 publication

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“…Relevant models are proposed for land, grain and arable related activities [74]. Relevant listed results cover harvesting distribution accuracy [66,75,76], cost development [77] and distribution optimization [78][79][80][81].…”

Section: -Precision Farming Techniques and Robot Developmentmentioning

confidence: 99%

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

523

339

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income.pdf 4.0 should help meeting sustainable challenges by increasing the agri-food supply chain stakeholders revenues as well as decreasing their pressure for handling complex and external factors they cannot control, such as weather, market behaviours and policies, but also to react on time by visualising current trends in needs. This paper focus principally on the factory farm model issued from the European and north American style. In those typologies of farms the Industry 4.0 elements can be introduced and merged with the agricultural domain to create the Agri-Food 4.0. The focus is more specialised on the industrial farming although the Agri-Food 4.0 is started to be adapted also to the organic and silvo-pasture paradigms. Thus, this paper, considering a review over than two hundred papers, provides a contribution to knowledge by establishing the linkages between new 4.0 trends in technologies and Agri-Food Supply Chain Challenges, which opens the 4.0 research field for a multidisciplinary work. The choice of the literature review methodology focused firstly on key words related to the Agri-food technology, then the second approach was to focus on selected journals and at the end we looked for the data-based repository and the linked publications. To accomplish this, the structure in this paper is as follows: in the first place, a compressive state of the art of Agri-Food 4.0 related technologies is covered. In the second place, a review and contribution coming from digital technologies to the new supply chain methods in Agri-Food shows linkages with next trends and technologies. Next, and linked to the agri-food supply chain challenges, the fourth section presents new trends and models in agri-food supply chains, especially in the domain of risk management, collaboration, governance, cold chain management, globalization, information and communication technologies, Logistics, supply chain structures and sustainable agri-food supply chains. Finally, the fifth section covers the main conclusions, visions and perspectives for this novel research. 2-Agri-food 4.0 and Technologies a State of the Art The agricultural sector has been active in digital innovation for decades already. Especially the advances in Precision Agriculture, remote sensing, robots, farm management information

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Section: -Precision Farming Techniques and Robot Developmentmentioning

confidence: 99%

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

523

339

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“…It is obvious that farm robots will assist future farmers in many aspects. Multiple researchers have focused on developing a new robotic system to plant, protect, and harvest a variety of crops, such as apple (Lv et al, 2019), orange (Garner et al, 2006), tomato (Li et al, 2019, strawberry (Xiong et al, 2019;Aliasgarian et al, 2015), kiwifruit (Williams et al, 2019), grape (Luo et al, 2018), heavy-weight crops (Roshanianfard et al, 2018;Kamata et al, 2018;Noguchi, 2017, 2018b;, and pumpkin Noguchi, 2016, 2018a).…”

Section: Ali Roshanianfard Du Mengmeng Samira Nematzadehlmentioning

confidence: 99%

A 4-DOF SCARA Robotic Arm for Various Farm Applications: Designing, Kinematic Modelling, and Parameterization

Roshanianfard

Nematzadeh

2021

Acta Technologica Agriculturae

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The agriculture industry has faced various challenges nowadays. This research is the first part of a project that presents the designing process, kinematic modelling, and parameterization of a 4-DOF SCARA-type robotic arm specifically designed for work in an agricultural field in terms of seeding, watering, fertilizing, weeding, harvesting, and transporting. The designing of parameters, such as optimum degrees of freedom and component configuration, was done. The kinematic model was calculated using the Denavit-Hartenberg method. The structure of robot was developed for inertia reduction, smooth motion, and torque minimization. The results show that the working space, maximum front access, and side access of developed robotic arm were 11.4 m2, 2.9 m, and 2.4 m, respectively. The results indicate that the robot has sufficient surface coverage for defined farm work.

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“…Using the parameters the robotic arm was designed for minimum vibration and maximum efficiency. The accuracy and repeatability are enough for the harvesting of heavy weight crops and can also be used for spraying using different end-effectors [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Recent Development of Automation and IoT in Agriculture

2019

ijrte

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This paper presents a brief overview of the automation and IoT (Internet of Things) used to enhance good agricultural practices. Robotics can be efficiently used in food safety and makes it environment-friendly by using the appropriate use of chemicals. Robotics is also helpful in testing land quality and to choose the appropriate crop for the land. The robotic weed control system is highly beneficial. Development of reconfigurable robot is very important because in the future agricultural land decreases and multitasking robots are required to make it fast and maintain quality, present robots are single task targeted robots. The smart farming also helps to maintain the humidity, temperature and irrigation process. The main aim of this study to making agriculture smart and efficient by applying automation and IoT techniques.

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Heavy-weight Crop Harvesting Robot - Controlling Algorithm

Cited by 13 publications

References 1 publication

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

A 4-DOF SCARA Robotic Arm for Various Farm Applications: Designing, Kinematic Modelling, and Parameterization

Recent Development of Automation and IoT in Agriculture

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