scholarly journals Application Analysis of Intelligent Irrigation System Based on Internet of Things Technology

2020 ◽  
Vol 568 ◽  
pp. 012042
Author(s):  
Wen Luo ◽  
Yuan Xu ◽  
Zili Shen
Keyword(s):  
Internet Of Things ◽  
Irrigation System ◽  
Application Analysis ◽  
Intelligent Irrigation ◽  
Internet Of Things Technology

scholarly journals FROM INTERNET OF THINGS TO SMART DATA FOR SMART URBAN MONITORING

2017 ◽  
Vol XLII-4/W3 ◽  
pp. 19-28 ◽  
Author(s):  
E. Gastaud
Keyword(s):  
Global Warming ◽  
Internet Of Things ◽  
Waste Management ◽  
Irrigation System ◽  
Digital Tool ◽  
Multiple Partners ◽  
Innovation Project ◽  
Intelligent Irrigation ◽  
Set Up ◽  
City Policy

Cities are facing some of the major challenges of our time: global warming, pollution, waste management, energy efficiency. The territory of the Metropolis of Lyon, France, which brings together 59 municipalities, for a total of 1.3 million inhabitants, has launched a smart city policy aimed, among other things, at finding solutions for these issues. The data platform set up in 2013 is one of the cornerstones of this policy. In this context, the Metropolis of Lyon is deploying solutions that will enable, through the collection of new data, to implement monitoring and action tools in several fields.<br><br> As part of a European innovation project called "bIoTope", focused on the development of new services based on the Internet of Things, a multidisciplinary team is implementing a system to mitigate the effects of global warming in the city. Thanks to various connected objects allowing a true monitoring of the trees, and by using different data sources, an automatic and intelligent irrigation system is developed. In the field of waste management, several hundred containers in which the inhabitants throw away their used glass for recycling will soon be equipped with fill rate sensors. The main objective is to have this network of sensors interact easily with the container collection trucks. Expected results are an optimization of the collection, thus less fuel consumed, less noise, less traffic jam. The Metropolis of Lyon also participates in the "Smarter Together" project, focused on the development of intelligent duplicable solutions for cities, in the field of energy. A digital tool for analysing consumption and energy production at the level of a neighbourhood is currently being developed. This requires both interfaces with multiple partners, the development of a data model reflecting the reality of the terrain, from the sensors to the buildings, and the implementation of a visualization tool.

scholarly journals IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system using machine learning approach for efficient water usage

2021 ◽  
Vol 7 ◽  
pp. e578
Author(s):  
Ashutosh Bhoi ◽  
Rajendra Prasad Nayak ◽  
Sourav Kumar Bhoi ◽  
Srinivas Sethi ◽  
Sanjaya Kumar Panda ◽  
...  
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Recommendation System ◽  
Intelligent System ◽  
Irrigation System ◽  
Feedback Mechanism ◽  
Water Usage ◽  
Institute Of Technology ◽  
Iot Devices ◽  
Intelligent Irrigation

In the traditional irrigation process, a huge amount of water consumption is required which leads to water wastage. To reduce the wasting of water for this tedious task, an intelligent irrigation system is urgently needed. The era of machine learning (ML) and the Internet of Things (IoT) brings it is a great advantage of building an intelligent system that performs this task automatically with minimal human effort. In this study, an IoT enabled ML-trained recommendation system is proposed for efficient water usage with the nominal intervention of farmers. IoT devices are deployed in the crop field to precisely collect the ground and environmental details. The gathered data are forwarded and stored in a cloud-based server, which applies ML approaches to analyze data and suggest irrigation to the farmer. To make the system robust and adaptive, an inbuilt feedback mechanism is added to this recommendation system. The experimentation, reveals that the proposed system performs quite well on our own collected dataset and National Institute of Technology (NIT) Raipur crop dataset.

Design and Implementation of Intelligent Greenhouses Based on the Internet of Things

2014 ◽  
Vol 631-632 ◽  
pp. 188-191
Author(s):  
Ran Ni
Keyword(s):  
Internet Of Things ◽  
Agricultural Production ◽  
Information Transfer ◽  
Irrigation System ◽  
Ventilation System ◽  
Economic Benefits ◽  
The Internet ◽  
Automation Equipment ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the development of modern agriculture construction, various types of supporting agriculture automation equipment began to use and achieved good economic benefits, at the same time, linkage, information transfer between the various devices become the bottleneck to limit the scale of agricultural production. In this paper, the research object, describes the control, the temperature in the greenhouse automation equipment in humidity control, ventilation system, irrigation system, automation equipment and its linkage, linkage alarm mechanism, the Internet of things technology control system model and the hardware and software realization scheme is given based on. Finally through the network implementation of the joint of various types of equipment and system control and alarm in the greenhouse, avoids some potential risks in agricultural production, saving the modern agricultural production cost and management cost.

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