Simulation of vibration caused by an automatic transporter on harvested products

Hiraoka, Ren; Kobayashi, Kazuki; Aoyagi, Yuya

doi:10.1109/scisisis55246.2022.10001905

Cited by 1 publication

(1 citation statement)

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“…Farmers can monitor their fields using technology that provides access to temperature, carbon dioxide levels, light sources, and sterilizing water through their smartphones. The robots can pick fruits automatically and at a faster pace than farmers [59]. Meanwhile, Australia is using UAV technology to control rural farms, with the livestock industry utilizing UAV to monitor and manage livestock in open areas.…”

Section: Smart Agriculture Crops and Irrigationmentioning

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: Smart Agriculture Crops and Irrigationmentioning

confidence: 99%