Trajectory Control of Two-Degree-of-Freedom Sweet Potato Transplanting Robot Arm

Liu, Zhengduo; Lv, Zhaoqin; Zheng, Wenxiu; Wang, Xu

doi:10.1109/access.2022.3157600

Cited by 2 publications

(1 citation statement)

References 24 publications

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“…In some cases, tractors are controlled by a low-cost brain-computer interface (BCI) to monitor the electroencephalographic (EEG) signal, resulting in high control accuracy (93.5%) and low time consumption (0.48 ms) [55]. Agricultural robots have also been used for harvesting strawberries, potatoes, and mushrooms [56][57][58].…”

Section: Blockchain and Agricultural Robotsmentioning

confidence: 99%

Theme Mapping and Bibliometric Analysis of Two Decades of Smart Farming

Kushartadi,

Mulyono,

Al Hamdi

et al. 2023

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The estimated global population for 2050 is 9 billion, which implies an increase in food demand. Agriculture is the primary source of food production worldwide, and improving its efficiency and productivity through an integration with information and communication technology system, so-called “smart farming”, is a promising approach to optimizing food supply. This research employed bibliometric analysis techniques to investigate smart farming trends, identify their potential benefits, and analyze their research insight. Data were collected from 1141 publications in the Scopus database in the period 1997–2021 and were extracted using VOS Viewer, which quantified the connections between the articles using the co-citation unit, resulting in a mapping of 10 clusters, ranging from agriculture to soil moisture. Finally, the analysis further focuses on the three major themes of smart farming, namely the IoT; blockchain and agricultural robots; and smart agriculture, crops, and irrigation.

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Section: Blockchain and Agricultural Robotsmentioning

confidence: 99%

Theme Mapping and Bibliometric Analysis of Two Decades of Smart Farming

Kushartadi,

Mulyono,

Al Hamdi

et al. 2023

Information

View full text Add to dashboard Cite

show abstract

Recent Advancements in Agriculture Robots: Benefits and Challenges

Cheng

et al. 2023

Machines

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In the development of digital agriculture, agricultural robots play a unique role and confer numerous advantages in farming production. From the invention of the first industrial robots in the 1950s, robots have begun to capture the attention of both research and industry. Thanks to the recent advancements in computer science, sensing, and control approaches, agricultural robots have experienced a rapid evolution, relying on various cutting-edge technologies for different application scenarios. Indeed, significant refinements have been achieved by integrating perception, decision-making, control, and execution techniques. However, most agricultural robots continue to require intelligence solutions, limiting them to small-scale applications without quantity production because of their lack of integration with artificial intelligence. Therefore, to help researchers and engineers grasp the prevalent research status of agricultural robots, in this review we refer to more than 100 pieces of literature according to the category of agricultural robots under discussion. In this context, we bring together diverse agricultural robot research statuses and applications and discuss the benefits and challenges involved in further applications. Finally, directional indications are put forward with respect to the research trends relating to agricultural robots.

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Trajectory Control of Two-Degree-of-Freedom Sweet Potato Transplanting Robot Arm

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 2 publications

References 24 publications

Theme Mapping and Bibliometric Analysis of Two Decades of Smart Farming

Theme Mapping and Bibliometric Analysis of Two Decades of Smart Farming

Recent Advancements in Agriculture Robots: Benefits and Challenges

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