scholarly journals Review of Sensor Network-Based Irrigation Systems Using IoT and Remote Sensing

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Wei Li ◽  
Muhammad Awais ◽  
Weimin Ru ◽  
Weidong Shi ◽  
Muhammad Ajmal ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Review Paper ◽  
Optimization Problems ◽  
Irrigation System ◽  
Environmental Parameters ◽  
Cost Effective ◽  
System Optimization ◽  
Design System ◽  
Climate Conditions ◽  
Agriculture Sector

The motivation for this review paper came from the developing countries where the economy is mostly dependent on agriculture and climate conditions. Based on current conditions and historical records, profitability in production farming depends on making a right and timely operational decision. Precision farming is a systematic program designed to maximize the productivity of agriculture by carefully tailoring the soil and crop management to meet the specific requirements in each field while preserving environmental quality. This review paper highlights the development of an automated irrigation system with portable wireless sensor networks and decision support methods to remotely measure the environmental parameters in an agriculture field. Radio satellite, mobile phones, sensors, internet-based communication, and microcontroller capture the ecological parameters such as soil moisture, temperature, humidity, and light intensity. The knowledge gained from the sensors is transferred directly to the cloud server by using IoT technology. Users from anywhere in the world can display them through an internet-enabled device. Development of sensor-based application in modern agriculture makes it cost-effective and potentially productive and increases the efficiency through precision agriculture farming. Different limitations have been reported in the previously reviewed publications like the shortage of power in the field that can be solved by using a solar panel that recharges the battery at the same time using electricity. Bluetooth application in the agriculture sector is mainly improved by design system optimization. Problems related to transmission and radio range frequency can be solved by using a power class upgraded antenna.

scholarly journals Agriculture Monitoring System Using IoT: A Review Paper

2021 ◽  
Vol 9 (1) ◽  
pp. 01-06
Author(s):  
Hafiz Saad Ahmad, Ali Hasnain
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Review Paper ◽  
Cost Effective ◽  
Monitoring Systems ◽  
Agriculture Sector ◽  
Crucial Part ◽  
Processing Mechanism

In recent years evolution of Internet of Things has brought revolution in many different sectors.  The agriculture sector has become efficient and cost effective due to role of IoT. Monitoring systems has become the crucial part of agriculture. In past few years lot of work is been done and many systems has been purposed in this regard. In this paper we are going to make comparison between 4 different agriculture monitoring systems. We are also going to discuss what type of hardware including different sensors are used in those systems. We are also going to discuss software and platform on which those applications run. We will also discuss processing mechanism and what kind of algorithms are used in these systems and in the last we are going to make a comparative table based on these parameters.

scholarly journals Smart irrigation system based on IoT

2020 ◽  
Author(s):  
arushi dheer ◽  
M. L. sharma ◽  
krishna tripathi
Keyword(s):  
Large Scale ◽  
Soil Analysis ◽  
Irrigation System ◽  
Cost Effective ◽  
Water Shortage ◽  
Home Garden ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Shared Network ◽  
Automated Irrigation System

<div><div><div><div><p>Agriculture is the backbone of the Indian economy. The Indian agriculture sector accounts for 18% of the gross domestic product and employs nearly 50% of the country's workforce, with increasing population, water shortage and ever-growing demand for food. Since the acres of land available for cultivation remains unchanged, it is critical that we take steps towards increasing productivity and optimizing water usage to increase yield from the land currently available for cultivation. Soil Analysis has become an essential factor for effective cultivation. The need for the automated irrigation system is to overcome over-irrigation and under-irrigation.[1] This research paper proposes an automated irrigation system using Arduino microcontroller, which is cost-effective and can be used on a farm field or average home garden. IoT is an upcoming technology with huge prospects. IoT is a technology which connects things, people, applications, data. Internet of Things (IoT)is a shared network of objects or things which can interact with each other provided the Internet connection—using this technology to implement this system at a lower scale to act as a base model. With the implementation of this project at a large scale, it could bring a significant change in the overall yield and water consumption in agriculture.</p></div></div></div></div>

Swarm Intelligence for Biometric Feature Optimization

2015 ◽  
pp. 147-181 ◽  
Author(s):  
Santosh Kumar ◽  
Deepanwita Datta ◽  
Sanjay Kumar Singh
Keyword(s):  
Swarm Intelligence ◽  
Optimization Problems ◽  
System Optimization ◽  
Identification Accuracy ◽  
Design System ◽  
Features Selection ◽  
Bacterial Foraging Optimization ◽  
Feature Optimization ◽  
Biometric Features ◽  
Biometric Feature

Swarm Intelligence (SI) and bio-inspired computation has gathered great attention in research in the last few years. Numerous SI-based optimization algorithms have gained huge popularity to solve the complex combinatorial optimization problems, non-linear design system optimization, and biometric features selection and optimization. These algorithms are inspired by nature. In biometrics, face recognition is a non-intrusive method, and facial characteristics are probably the most common biometric features to identify individuals and provide a competent level of security. This chapter presents a novel biometric feature selection algorithm based on swarm intelligence (i.e. Particle Swarm Optimization [PSO] and Bacterial Foraging Optimization Algorithm [BFOA] metaheuristics approaches). This chapter provides the stepping stone for future researchers to unveil how swarm intelligence algorithms can solve the complex optimization problems to improve the biometric identification accuracy. In addition, it can be utilized for many different areas of application.

scholarly journals Smart irrigation system based on IoT

2020 ◽  
Author(s):  
arushi dheer ◽  
M. L. sharma ◽  
krishna tripathi
Keyword(s):  
Large Scale ◽  
Soil Analysis ◽  
Irrigation System ◽  
Cost Effective ◽  
Water Shortage ◽  
Home Garden ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Shared Network ◽  
Automated Irrigation System

<div><div><div><div><p>Agriculture is the backbone of the Indian economy. The Indian agriculture sector accounts for 18% of the gross domestic product and employs nearly 50% of the country's workforce, with increasing population, water shortage and ever-growing demand for food. Since the acres of land available for cultivation remains unchanged, it is critical that we take steps towards increasing productivity and optimizing water usage to increase yield from the land currently available for cultivation. Soil Analysis has become an essential factor for effective cultivation. The need for the automated irrigation system is to overcome over-irrigation and under-irrigation.[1] This research paper proposes an automated irrigation system using Arduino microcontroller, which is cost-effective and can be used on a farm field or average home garden. IoT is an upcoming technology with huge prospects. IoT is a technology which connects things, people, applications, data. Internet of Things (IoT)is a shared network of objects or things which can interact with each other provided the Internet connection—using this technology to implement this system at a lower scale to act as a base model. With the implementation of this project at a large scale, it could bring a significant change in the overall yield and water consumption in agriculture.</p></div></div></div></div>

Swarm Intelligence for Biometric Feature Optimization

2016 ◽  
pp. 830-863
Author(s):  
Santosh Kumar ◽  
Deepanwita Datta ◽  
Sanjay Kumar Singh
Keyword(s):  
Swarm Intelligence ◽  
Optimization Problems ◽  
System Optimization ◽  
Identification Accuracy ◽  
Design System ◽  
Features Selection ◽  
Bacterial Foraging Optimization ◽  
Feature Optimization ◽  
Biometric Features ◽  
Biometric Feature

Swarm Intelligence (SI) and bio-inspired computation has gathered great attention in research in the last few years. Numerous SI-based optimization algorithms have gained huge popularity to solve the complex combinatorial optimization problems, non-linear design system optimization, and biometric features selection and optimization. These algorithms are inspired by nature. In biometrics, face recognition is a non-intrusive method, and facial characteristics are probably the most common biometric features to identify individuals and provide a competent level of security. This chapter presents a novel biometric feature selection algorithm based on swarm intelligence (i.e. Particle Swarm Optimization [PSO] and Bacterial Foraging Optimization Algorithm [BFOA] metaheuristics approaches). This chapter provides the stepping stone for future researchers to unveil how swarm intelligence algorithms can solve the complex optimization problems to improve the biometric identification accuracy. In addition, it can be utilized for many different areas of application.

scholarly journals Fully Printed Disposable IoT Soil Moisture Sensors for Precision Agriculture

Chemosensors ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 125
Author(s):  
Tomáš Syrový ◽  
Robert Vik ◽  
Silvan Pretl ◽  
Lucie Syrová ◽  
Jiří Čengery ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Data Storage ◽  
Precision Agriculture ◽  
New Technologies ◽  
Environmental Parameters ◽  
Cost Effective ◽  
High Price ◽  
Soil Moisture Sensors ◽  
Agriculture Industry ◽  
Printing Techniques

Digitization of industrial processes using new technologies (IoT—Internet of Things, IoE—Internet of Everything), including the agriculture industry, are globally gaining growing interest. The precise management of production inputs is essential for many agricultural companies because limited or expensive sources of water and nutrients could make sustainable production difficult. For these reasons, precise data from fields, plants, and greenhouses have become more important for decision making and for the proper dosage of water and nutrients. On the market are a variety of sensors for monitoring environmental parameters within a precise agricultural area. However, the high price, data storage/transfer functionality are limiting so cost-effective products capable to transfer data directly to farmers via wireless IoT networks are required. Within a given scope, low-price sensor elements with an appropriate level of sensor response are required. In the presented paper, we have developed fully printed sensor elements and a dedicated measuring/communicating unit for IoT monitoring of soil moisture. Various fabrication printing techniques and a variety of materials were used. From the performed study, it is obvious that fully printed sensor elements based on cheap and environmentally friendly carbon layers printed on the wood substrate can compete with conventionally made sensors based on copper.

scholarly journals A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on IoT and UAVs

2021 ◽  
Vol 13 (11) ◽  
pp. 5908
Author(s):  
Faris A. Almalki ◽  
Ben Othman Soufiene ◽  
Saeed H. Alsamhi ◽  
Hedi Sakli
Keyword(s):  
Precision Agriculture ◽  
Low Cost ◽  
Environmental Parameters ◽  
Cost Effective ◽  
Crop Productivity ◽  
Environmental Data ◽  
Smart Farming ◽  
Smart Agriculture ◽  
Real Scenario ◽  
The Internet Of Things

When integrating the Internet of Things (IoT) with Unmanned Aerial Vehicles (UAVs) occurred, tens of applications including smart agriculture have emerged to offer innovative solutions to modernize the farming sector. This paper aims to present a low-cost platform for comprehensive environmental parameter monitoring using flying IoT. This platform is deployed and tested in a real scenario on a farm in Medenine, Tunisia, in the period of March 2020 to March 2021. The experimental work fulfills the requirements of automated and real-time monitoring of the environmental parameters using both under- and aboveground sensors. These IoT sensors are on a farm collecting vast amounts of environmental data, where it is sent to ground gateways every 1 h, after which the obtained data is collected and transmitted by a drone to the cloud for storage and analysis every 12 h. This low-cost platform can help farmers, governmental, or manufacturers to predict environmental data over the geographically large farm field, which leads to enhancement in crop productivity and farm management in a cost-effective, and timely manner. Obtained experimental results infer that automated and human-made sets of actions can be applied and/or suggested, due to the innovative integration between IoT sensors with the drone. These smart actions help in precision agriculture, which, in turn, intensely boost crop productivity, saving natural resources.

scholarly journals Cyber-Physical Systems Improving Building Energy Management: Digital Twin and Artificial Intelligence

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2338
Author(s):  
Sofia Agostinelli ◽  
Fabrizio Cumo ◽  
Giambattista Guidi ◽  
Claudio Tomazzoli
Keyword(s):  
Artificial Intelligence ◽  
Renewable Energy ◽  
Energy Management ◽  
Three Dimensional ◽  
Cost Effective ◽  
Automation System ◽  
Climate Conditions ◽  
Digital Twin ◽  
Building Energy Management ◽  
Computing Paradigm

The research explores the potential of digital-twin-based methods and approaches aimed at achieving an intelligent optimization and automation system for energy management of a residential district through the use of three-dimensional data model integrated with Internet of Things, artificial intelligence and machine learning. The case study is focused on Rinascimento III in Rome, an area consisting of 16 eight-floor buildings with 216 apartment units powered by 70% of self-renewable energy. The combined use of integrated dynamic analysis algorithms has allowed the evaluation of different scenarios of energy efficiency intervention aimed at achieving a virtuous energy management of the complex, keeping the actual internal comfort and climate conditions. Meanwhile, the objective is also to plan and deploy a cost-effective IT (information technology) infrastructure able to provide reliable data using edge-computing paradigm. Therefore, the developed methodology led to the evaluation of the effectiveness and efficiency of integrative systems for renewable energy production from solar energy necessary to raise the threshold of self-produced energy, meeting the nZEB (near zero energy buildings) requirements.

scholarly journals Sustainable Ventilation Strategies for a Medium-Sized Space with Regional Effect

2021 ◽  
Vol 13 (9) ◽  
pp. 4651
Author(s):  
Ming-Lun Alan Fong
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Co2 Emission ◽  
High Efficiency ◽  
Regional Climate ◽  
Cost Effective ◽  
Regional Effect ◽  
Climate Conditions ◽  
Ventilation Strategies ◽  
Set Up

The analysis of ventilation strategies is fundamentally affected by regional climate conditions and local cost databases, in terms of energy consumption, CO2 emission and cost-effective analysis. A systematic approach is covered in this paper to estimate a local economic and environmental impact on a medium-sized space located in two regions during supply-and-installation and operation phases. Three ventilation strategies, including mixing ventilation (MV), displacement ventilation (DV) and stratum ventilation (SV) were applied to medium-sized air-conditioned space with this approach. The trend of the results for three ventilation systems in the life cycle assessment (LCA) and life cycle cost (LCC) analysis is SV < DV < MV. The result of CO2 emission and regional LCC shows that SV is the lowest one in both regional studies. In comparison with the Hong Kong Special Administrative Region (HKSAR) during 20 Service years, the case analysis demonstrates that the percentage differences in LCC analysis of MV, DV & SV in Guangdong are less than 20.5%, 19.4% and 18.82% respectively. Their CO2 emission of MV, DV and SV in Guangdong are more than HKSAR in 10.69%, 11.22% and 12.05%, respectively. The present study could provide information about regional effects in the LCA and LCC analysis of three ventilation strategies emissions, and thereby help set up models for decision-making on high efficiency and cost-effective ventilation strategy plans.

Optimum Selection of Hydraulic Devices for Water Hammer Control in the Pipeline Systems Using Genetic Algorithm

2003 ◽  
Author(s):  
Bong Seong Jung ◽  
Bryan W. Karney
Keyword(s):  
Genetic Algorithm ◽  
Steady State ◽  
Optimization Problems ◽  
System Optimization ◽  
Water Hammer ◽  
Pipeline System ◽  
Optimal Size ◽  
Protection Strategy ◽  
Hydraulic Devices ◽  
Selection Of

Genetic algorithms have been used to solve many water distribution system optimization problems, but have generally been limited to steady state or quasi-steady state optimization. However, transient events within pipe system are inevitable and the effect of water hammer should not be overlooked. The purpose of this paper is to optimize the selection, sizing and placement of hydraulic devices in a pipeline system considering its transient response. A global optimal solution using genetic algorithm suggests optimal size, location and number of hydraulic devices to cope with water hammer. This study shows that the integration of a genetic algorithm code with a transient simulator can improve both the design and the response of a pipe network. This study also shows that the selection of optimum protection strategy is an integrated problem, involving consideration of loading condition, device and system characteristics, and protection strategy. Simpler transient control systems are often found to outperform more complex ones.

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