Design of Agricultural Environmental Parameters Monitoring System Based on Internet of Things

2014 ◽  
Vol 608-609 ◽  
pp. 1115-1119 ◽  
Author(s):  
Li Fang Zhang
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Ph Value ◽  
Irrigation System ◽  
Water Environment ◽  
Environmental Parameters ◽  
Co2 Concentration ◽  
Crop Water ◽  
Foreign Products ◽  
Intelligent Irrigation

The paper study on the architecture of monitoring system in the field of agricultural environmental based on Internet of things that can achieve real-time online monitoring on more growth morphology of plant, air temperature, humidity, soil moisture, light intensity and CO2 concentration, pH value and crop water environment multi parameter. In this paper, using the CC2430, intelligent irrigation system was designed and implemented according to the actual needs of the decision-making and management of plant irrigation. The system cost compared to similar foreign products decreased 44.8%. Compared with traditional irrigation methods, crop water use efficiency is 22.6%.

scholarly journals Model Sistem Monitoring pH dan Kekeruhan pada Akuarium Air Tawar berbasis Internet of Things

METANA ◽  
2019 ◽  
Vol 15 (2) ◽  
pp. 49-56
Author(s):  
Dista Yoel Tadeus ◽  
Khasnan Azazi ◽  
Didik Ariwibowo
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Aquatic Vegetation ◽  
Ph Value ◽  
Low Cost ◽  
Environmental Parameters ◽  
Ornamental Fish ◽  
Automation System ◽  
Water Turbidity ◽  
Air Filter

Ikan hias dan vegetasi air memiliki rentang toleransi terhadap nilai parameter lingkungan. Parameter tersebut hendaknya senantiasa diawasi demi kelangsungan hidupnya. Internet of Things (IoT) telah dimanfaatkan sebagai sistem monitoring dan otomasi parameter lingkungan ikan dan vegetasi air namun sistem ini membutuhkan biaya yang tinggi. Tujuan penelitian ini adalah mengembangkan suatu model sistem monitoring berbasis IoT berbiaya rendah untuk memberikan informasi parameter pH dan kekeruhan air setiap saat kepada pemilik ikan hias. Sistem ini dibangun menggunakan komponen opensource dan sensor berbiaya rendah. Data monitoring digunakan untuk mengaktifkan aktuator berupa filter air. Filter akan aktif apabila tingkat kekeruhan air sudah melebihi batas kekeruhan yang ditentukan. Pengujian kekeruhan air aquarium menunjukkan saat kekeruhan mencapai 3000 ntu pukul 14.12 pompa aktif dan filter bekerja sampai kekeruhan berada pada nilai 498 ntu pada pukul 17.00 dan pompa mati secara otomatis. Nilai pH dan kekeruhan air berhasil ditampilkan dengan baik di aplikasi Blynk pada ponsel. Hasil pengujian menyimpulkan bahwa sistem monitoring yang dikembangkan telah berhasil diimplementasikan dengan baik.  Ornamental fish and aquatic vegetation have a tolerance range of environmental parameter values. These parameters should always be monitored for survival. Internet of Things (IoT) has been utilized as a monitoring and automation system for environmental parameters of fish and aquatic vegetation, but this system requires high costs. The purpose of this study is to develop a low-cost IoT-based monitoring system model to provide information on pH parameters and water turbidity at any time to ornamental fish owners. This system is built using opensource components and low-cost sensors. Monitoring data is used to activate the actuator in the form of a water filter. The filter will active if the turbidity level of water has exceeded the specified turbidity limit. The aquarium water turbidity test showed that when the turbidity reached 3000 ntu at 14.12 the pump was active and the filter worked until the turbidity was at 498 ntu at 17.00 and the pump automatically shut down. The pH value and the turbidity of the water were successfully displayed in the Blynk application on the cellphone. The test results concluded that the monitoring system developed was successfully implemented. 

Design of Agricultural Intelligent Irrigation System in Green Environment

2013 ◽  
Vol 340 ◽  
pp. 1007-1011
Author(s):  
Yu Kun Huang
Keyword(s):  
Irrigation System ◽  
Crop Water ◽  
Import Prices ◽  
The Sustainable Development ◽  
Foreign Products ◽  
Traditional Irrigation ◽  
Use Efficiency ◽  
Intelligent Irrigation ◽  
Humidity Monitoring ◽  
Precision Irrigation

The intelligent irrigation system can achieve precision irrigation, which is an effective way for the sustainable development of agriculture in arid area. In this paper, using the CC2430, intelligent irrigation system was designed and implemented according to the actual needs of the decision-making and management of plant irrigation. Distribution of soil temperature and humidity monitoring the system to solve the difficult and critical hardware products import prices too high and difficult to promote. The system cost compared to similar foreign products decreased 44.8%. Compared with traditional irrigation methods, crop water use efficiency of 22.6%

The Design of Remote Intelligent Irrigation System Based on Web Servers

2013 ◽  
Vol 416-417 ◽  
pp. 806-810
Author(s):  
Wei Li
Keyword(s):  
Smart Home ◽  
Lower Cost ◽  
Irrigation System ◽  
Low Cost ◽  
Reference Value ◽  
Web Servers ◽  
Foreign Products ◽  
Traditional Irrigation ◽  
Use Efficiency ◽  
Intelligent Irrigation

The paper proposed program of lower-cost traditional 8-bit micro-controller with Web servers function, and is designed for remote control system. The system has the flexibility and low cost. And according to the actual needs of the decision-making and management of plant irrigation, intelligent irrigation system was designed and implemented.The system solve the difficult and critical hardware products import prices too high and difficult to promote for distribution of soil temperature and humidity monitoring.The system cost compared to similar foreign products decreased 44.8%.Compared with traditional irrigation methods, crop water use efficiency of 22.6%.The design of software and thinking can popularize and promote practical reference value, the future of smart home system.

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.

Unmanned Monitoring System of Three Gorges Basin for Water Environment Based on WSN

2012 ◽  
Vol 482-484 ◽  
pp. 1777-1780
Author(s):  
Jing Wang ◽  
Qian Wu
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Ph Value ◽  
Water Environment ◽  
Mesh Network ◽  
Three Gorges ◽  
Remote Monitoring System ◽  
Field Situation ◽  
Actual Field ◽  
Monitoring Module

Aimed at the puzzle of being difficult to actualize the monitoring of water quality resulted from massive land and complex terrain in three gorges basin of Changjiang River, In order to make monitoring of the water quality get more flexible, faster, easier and accurate, the paper designed a sort of monitoring system of three gorges basin in water environment based on WSN. In the paper, it researched the system architecture, analyzed the network design of system, built the wireless mesh network, designed the data acquisition monitoring module, and discussed the monitor center and software design. It took the parameter test of temperature, pH value and heavy metal irons etc in the river as an example, the data accepted by monitor center displayed that it could accurately reflect the actual field situation. The experiment result shows that the design of unmanned remote monitoring system is feasible and reasonable.

scholarly journals IoT Based Automatic Soil Moisture Monitoring System using Raspberry PI

2019 ◽  
Vol 9 (2) ◽  
pp. 4375-4379 ◽  
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Water Level ◽  
Soil Water ◽  
Monitoring System ◽  
Irrigation System ◽  
Irrigation Scheduling ◽  
Advanced Technology ◽  
Raspberry Pi ◽  
The World

Internet of Things (IoT) is an advanced technology for monitoring and controlling device anywhere in the world. It can connect devices with living things. Agriculture is one of the major sectors which contribute a lot to the financial of India and to get quality product, proper irrigation has to be performed, to reduce man power using modern technology of internet of things IoT in today’s life. Soil moisture is an integral part of plant life, which directly affects crop growth and yield, as well as irrigation scheduling. This system will be a substitute to traditional farming method. We will develop such a system that will help a farmer to know his field status in his home or he may be residing in any part of the world. It proposes an automatic irrigation system for the agricultural lands. Currently the automation is one of the important roles in the human life. It is not only provides comfort but also efficiency and time saving. So here it is also designs a smart irrigation technology by using raspberry pi and connecting to the weather API. Raspberry-pi is the main heart of the whole system. An automated irrigation system was developed to optimize water use for agricultural crops. Automation allows us to control appliances automatically. The objectives of this to control the water motor automatically, To monitor the soil, water level using weather API.A robotized irrigation system framework might have been created should streamline water utilize to agriculture crops. Mechanization permits us with control appliances naturally. Those targets for this on control those water motor naturally monitor the soil, water level utilizing weather API In previously we are using the soil moisture control by using some set of sensors by this water is pumping continuously even though it is rainy.so by this over flow of the water is taken place to overcome this problem we are using the cloud monitoring system based on the weather conditions.

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.

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