Smart Agriculture with an Automated IoT-Based Greenhouse System for Local Communities

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Advances in Internet of Things

ISSN Print: 2161-6817
ISSN Online: 2161-6825
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"Smart Agriculture with an Automated IoT-Based Greenhouse System for Local Communities"
written by Nianpu Li, Yimeng Xiao, Lei Shen, Zhuoyue Xu, Botao Li, Chongxuan Yin,
published by Advances in Internet of Things, Vol.9 No.2, 2019

has been cited by the following article(s):

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[1]	Optimal environment control and fruits delivery tracking system using blockchain for greenhouse
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[2]	Optimizing Winter Climate Control in High-Altitude Smart Greenhouse through Renewable Energy Integration
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[3]	A Reconfigurable Strategy for Internet-of-Things for Smart Buildings
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[4]	A Systematic Review of Optimal and Practical Methods in Design, Construction, Control, Energy Management and Operation of Smart Greenhouses
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[5]	A Sequential Auto Irrigation for Smart Chili Farming
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[6]	On Smart Greenhouse Issues
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[7]	The smart agriculture applications (current and future)
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[8]	Design and deployment of a practical IoT-based monitoring system for protected cultivations
	Morales, JM Luna-Rivera… - Computer …, 2022

[9]	Smart Hydroponic Greenhouse (Sensing, Monitoring and Control) Prototype Based on Arduino and IOT
	Soud, MSA Emam, SM Mohammed - neural networks, 2021

[10]	Performances Analysis of IoT Based Smart Greenhouse System
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[11]	Greenhouses within the Agricultura 4.0 interface
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[12]	Machine intelligence techniques for agricultural production
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[13]	Machine intelligence techniques for agricultural production: Case study with tomato leaf disease detection
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[14]	Internet of Things Sensors and Data Analytics Based Decision Support System for Smart Greenhouse
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[15]	การ ออกแบบ เครื่อง ทำความ สะอาด อัจฉริยะ
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[16]	Αυτοματοποιημένο Σύστημα Ενυδρειοπονίας
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[17]	The greenhouse control basedvision and sensors
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[18]	An alertness-adjustable cloud/fog IoT solution for timely environmental monitoring based on wildfire risk forecasting
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[19]	Latency-Adjustable Cloud/Fog Computing Architecture for Time-Sensitive Environmental Monitoring in Olive Groves
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[20]	Applications of Artificial Neural Networks in Greenhouse Technology and Overview for Smart Agriculture Development
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[1]	A Systematic Review of Optimal and Practical Methods in Design, Construction, Control, Energy Management and Operation of Smart Greenhouses IEEE Access, 2024 DOI:10.1109/ACCESS.2023.3346436

[2]	Optimizing winter climate control in high-altitude smart greenhouse through renewable energy integration Smart Agricultural Technology, 2024 DOI:10.1016/j.atech.2024.100424

[3]	Optimal environment control and fruits delivery tracking system using blockchain for greenhouse Computers and Electronics in Agriculture, 2024 DOI:10.1016/j.compag.2024.108889

[4]	Optimal environment control and fruits delivery tracking system using blockchain for greenhouse Computers and Electronics in Agriculture, 2024 DOI:10.1016/j.compag.2024.108889

[5]	Green technologies to enhance sustainable food production in colder regions via adoption of smart greenhouse APN Science Bulletin, 2024 DOI:10.30852/sb.2024.2674

[6]	Open Science in Engineering Lecture Notes in Networks and Systems, 2023 DOI:10.1007/978-3-031-42467-0_74

[7]	Design and deployment of a practical IoT-based monitoring system for protected cultivations Computer Communications, 2022 DOI:10.1016/j.comcom.2022.01.009

[8]	Internet of Things, Smart Spaces, and Next Generation Networks and Systems Lecture Notes in Computer Science, 2022 DOI:10.1007/978-3-030-97777-1_2

[9]	The smart agriculture applications (current and future) Annals of Civil and Environmental Engineering, 2022 DOI:10.29328/journal.acee.1001045

[10]	The smart agriculture applications (current and future) Annals of Civil and Environmental Engineering, 2022 DOI:10.29328/journal.acee.1001045

[11]	Design and deployment of a practical IoT-based monitoring system for protected cultivations Computer Communications, 2022 DOI:10.1016/j.comcom.2022.01.009

[12]	Latency-Adjustable Cloud/Fog Computing Architecture for Time-Sensitive Environmental Monitoring in Olive Groves AgriEngineering, 2020 DOI:10.3390/agriengineering2010011

[13]	Applications of Artificial Neural Networks in Greenhouse Technology and Overview for Smart Agriculture Development Applied Sciences, 2020 DOI:10.3390/app10113835

[14]	An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting Energies, 2020 DOI:10.3390/en13143693

[15]	Latency-Adjustable Cloud/Fog Computing Architecture for Time-Sensitive Environmental Monitoring in Olive Groves AgriEngineering, 2020 DOI:10.3390/agriengineering2010011

[16]	Applications of Artificial Neural Networks in Greenhouse Technology and Overview for Smart Agriculture Development Applied Sciences, 2020 DOI:10.3390/app10113835

[17]	An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting Energies, 2020 DOI:10.3390/en13143693

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