A Mobile-Based Farm Machinery Hiring System

Arogundade, Oluwasefunmi ‘Tale; Qudus, Rauf; Abayomi‐Alli, Adebayo; Misra, Sanjay; Agbaegbu, JohnBosco; Akinwale, Adio T.; Ahuja, Ravin

doi:10.1007/978-981-16-0733-2_15

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…The server is made to accept commands from clients iteratively by utilizing a loop, as otherwise, the server can only accept one command and approach. The inputs are encoded using "UTF-8" Unicode character encoding [31][32][33][34][35][36].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Smart Mechatronics Applications in Agriculture: A Review

Amertet,

Gebresenbet,

Alwan

et al. 2023

Applied Sciences

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Smart mechatronics systems in agriculture can be traced back to the mid-1980s, when research into automated fruit harvesting systems began in Japan, Europe, and the United States. Impressive advances have been made since then in developing systems for use in modern agriculture. The aim of this study was to review smart mechatronics applications introduced in agriculture to date, and the different areas of the sector in which they are being employed. Various literature search approaches were used to obtain an overview of the current state-of-the-art, benefits, and drawbacks of smart mechatronics systems. Smart mechatronics modules and various networks applied in the processing of agricultural products were examined. Finally, relationships in the data retrieved were tested using a one-way analysis of variance on keywords and sources. The review revealed limited use of sophisticated mechatronics in the agricultural industry in practice at a time of falling production rates and a dramatic decline in the reliability of the global food supply. Smart mechatronics systems could be used in different agricultural enterprises to overcome these issues.

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Section: Literature Reviewmentioning

confidence: 99%

Assessment of Smart Mechatronics Applications in Agriculture: A Review

Amertet,

Gebresenbet,

Alwan

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The system is aimed at collecting, storing, and providing organic farming-based information to the software developers who create applications for farmers. Arogundade et al (2021) developed a mobile application for distributing or leasing agricultural machinery to farmers using location-based services. The design also took into consideration the configuration of the multiple topologies and other factors that could improve the flexibility of a mobile application.…”

Section: Literature Review and Research Frameworkmentioning

confidence: 99%