Feasibility of Low-Code Development Platforms in Precision Agriculture: Opportunities, Challenges, and Future Directions

Low-Code Development Platforms (LCDPs) empower users to create and deploy custom software with little to no programming. These platforms streamline development, offering benefits like faster time-to-market, reduced technical barriers, and broader participation in software creation, even for those wi...

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Vydáno v:Land (Basel) Ročník 13; číslo 11; s. 1758
Hlavní autoři: Guresci, Emin, Tekinerdogan, Bedir, Babur, Önder, Liu, Qingzhi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.11.2024
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ISSN:2073-445X, 2073-445X
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Abstract Low-Code Development Platforms (LCDPs) empower users to create and deploy custom software with little to no programming. These platforms streamline development, offering benefits like faster time-to-market, reduced technical barriers, and broader participation in software creation, even for those without traditional coding skills. This study explores the application of LCDPs in Precision Agriculture (PA) through a systematic literature review (SLR). By analyzing the general characteristics and challenges of LCDPs, alongside insights from existing PA research, we assess their feasibility and potential impact in agricultural contexts. Our findings suggest that LCDPs can enable farmers and agricultural professionals to create tailored applications for real-time monitoring, data analysis, and automation, enhancing farming efficiency. However, challenges such as scalability, extensibility, data security, and integration with complex IoT systems must be addressed to fully realize the benefits of LCDPs in PA. This study contributes to the growing knowledge base in agricultural technology, offering valuable insights for researchers, practitioners, and policymakers looking to leverage LCDPs for sustainable and efficient farming practices.
AbstractList Low-Code Development Platforms (LCDPs) empower users to create and deploy custom software with little to no programming. These platforms streamline development, offering benefits like faster time-to-market, reduced technical barriers, and broader participation in software creation, even for those without traditional coding skills. This study explores the application of LCDPs in Precision Agriculture (PA) through a systematic literature review (SLR). By analyzing the general characteristics and challenges of LCDPs, alongside insights from existing PA research, we assess their feasibility and potential impact in agricultural contexts. Our findings suggest that LCDPs can enable farmers and agricultural professionals to create tailored applications for real-time monitoring, data analysis, and automation, enhancing farming efficiency. However, challenges such as scalability, extensibility, data security, and integration with complex IoT systems must be addressed to fully realize the benefits of LCDPs in PA. This study contributes to the growing knowledge base in agricultural technology, offering valuable insights for researchers, practitioners, and policymakers looking to leverage LCDPs for sustainable and efficient farming practices.
Audience Academic
Author Tekinerdogan, Bedir
Babur, Önder
Guresci, Emin
Liu, Qingzhi
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SubjectTerms Agricultural practices
Agricultural technology
Agriculture
Automation
Content analysis
Data analysis
Farming
Feasibility studies
Impact analysis
Internet of Things
Knowledge bases (artificial intelligence)
Literature reviews
low code development platform
no code development platform
Objectives
Precision agriculture
Program development software
Real time
Research methodology
Software
Software development
software engineering
systematic literature review
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Title Feasibility of Low-Code Development Platforms in Precision Agriculture: Opportunities, Challenges, and Future Directions
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