An IoT Fast and Low Cost Based Smart Irrigation Intelligent System Using a Fuzzy Energy-Aware Routing Approach

Mapping Intimacies ◽

10.21203/rs.3.rs-685815/v1 ◽

2021 ◽

Author(s):

Amin Rezaeipanah

Keyword(s):

Intelligent System ◽

Low Cost ◽

Energy Aware ◽

Cost System ◽

Data Collection Process ◽

Smart Farming ◽

Energy Aware Routing ◽

Intelligent Irrigation ◽

Mobile Computers ◽

The Internet Of Things

Abstract Agriculture plays a major role in the world economy and most people depend on it for their livelihood. This makes water an important resource that must be conserved using the latest available technologies. Today, the Internet of Things (IoT) has extended its capabilities to smart farming. In this paper, an automated and low-cost system for intelligent irrigation based on a Fuzzy-based energy-aware routing approach is presented. In addition, a neural network is trained to determine the best irrigation program, based on information received from sensors (such as temperature, soil moisture, etc.). The user in the system can monitor the data collection process with mobile phones, mobile computers, etc. and manage the irrigation of agricultural products. The proposed system proves its suitability with intelligence and low cost and portability, for greenhouses, farms, etc. The simulation results show that the proposed method offers better results compared to the LEACH protocol as well as the WSN-IoT algorithm in various criteria such as network lifetime and power consumption.

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Internet of Things based Wireless Plant Sensor for Smart Farming

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v10.i2.pp456-468 ◽

2018 ◽

Vol 10 (2) ◽

pp. 456 ◽

Cited By ~ 2

Author(s):

Monica Subashini M ◽

Sreethul Das ◽

Soumil Heble ◽

Utkarsh Raj ◽

R Karthik

Keyword(s):

Growth Parameters ◽

Low Cost ◽

Weather Data ◽

Sensors And Actuators ◽

Cost System ◽

Internet Server ◽

Tier System ◽

Smart Farming ◽

Avr Microcontroller ◽

Data Acquisition And Processing

<p>About 10% of the world’s workforce is directly dependent on agriculture for income and about 99% of food consumed by humans comes from farming. Agriculture is highly climate dependent and with global warming and rapidly changing weather it has become necessary to closely monitor the environment of growing crops for maximizing output as well as increasing food security while minimizing resource usage. In this study, we developed a low cost system which will monitor the temperature, humidity, light intensity and soil moisture of crops and send it to an online server for storage and analysis, based on this data the system can control actuators to control the growth parameters. The three tier system architecture consists of sensors and actuators on the lower level followed by an 8-bit AVR microcontroller which is used for data acquisition and processing topped by an ESP8266 Wi-Fi module which communicates with the internet server. The system uses relay to control actuators such as pumps to irrigate the fields; online weather data is used to optimize the irrigation cycles. The prototyped system was subject to several tests, the experimental results express the systems reliability and accuracy which accentuate its feasibility in real-world applications.</p>

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A Survey on Intelligent Agricultural Information Handling Methodologies

Sustainability ◽

10.3390/su11123278 ◽

2019 ◽

Vol 11 (12) ◽

pp. 3278 ◽

Cited By ~ 5

Author(s):

Yorghos Voutos ◽

Phivos Mylonas ◽

John Katheniotis ◽

Anastasia Sofou

Keyword(s):

Information Technologies ◽

Production Systems ◽

Low Cost ◽

Small Scale ◽

Research Knowledge ◽

Current State ◽

Smart Farming ◽

Efficient Data ◽

Art Research ◽

The Internet Of Things

The term intelligent agriculture, or smart farming, typically involves the incorporation of computer science and information technologies into the traditional notion of farming. The latter utilizes plain machinery and equipment used for many decades and the only significant improvement made over the years has been the introduction of automation in the process. Still, at the beginning of the new century, there are ways and room for further vast improvements. More specifically, the low cost of rather advanced sensors and small-scale devices, now even connected to the Internet of Things (IoT), allowed them to be introduced in the process and used within agricultural production systems. New and emerging technologies and methodologies, like the utilization of cheap network storage, are expected to advance this development. In this sense, the main goals of this paper may be summarized as follows: (a) To identify, group, and acknowledge the current state-of-the-art research knowledge about intelligent agriculture approaches, (b) to categorize them according to meaningful data sources categories, and (c) to describe current efficient data processing and utilization aspects from the perspective of the main trends in the field.

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IoT in Agriculture: A Smart Forming in Apartment Building at Sultanate of Oman

Journal of Student Research ◽

10.47611/jsr.vi.894 ◽

2020 ◽

Author(s):

Lamiya Yousuf AlSarmi ◽

Puttaswamy M. R.

Keyword(s):

Soil Moisture ◽

Internet Of Things ◽

Intelligent System ◽

Modern Technology ◽

The Internet ◽

Optimal Management ◽

Apartment Building ◽

Smart Farming ◽

Key Sectors ◽

The Internet Of Things

The world strives to exploit the fourth revolution in technology, including the great developments such as the Internet of Things (IoT) to improve life. IoT technology is used in many areas of life from industry health and environment to personal life. Agriculture is, therefore, one of the key sectors of life that have benefited from modern technology such as the use of drones for crop assessment, irrigation, monitoring and mapping, big data in crop analysis for companies and countries. The Internet of Things was not far off as it was introduced to monitor plant irrigation. Increased awareness of the environment and the exploitation of small and semi-enclosed areas in agriculture and turning them into green areas. The IoT technology converts this process into intelligent and dynamic based on wireless sensing with the help of the device programmed by the Arduino. This data is collected in Power BI what to help in the future development of the device and analysis of the data. The device senses soil moisture and temperature and connects it to its cloud platform for optimal management of future planting. The device senses soil moisture and temperature and connects it to its cloud power BI platform for optimal management of future planting. This technology helps reduce agricultural costs and labor. Therefore, this paper proposes an intelligent system with the help of the Internet of Things in the management of smart farming in apartment building with the help of Arduino.

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

Sustainability ◽

10.3390/su13115908 ◽

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.

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