scholarly journals A Survey on Smart Agricultural System Using LoRa Wireless Technology

2020 ◽  
Vol 6 (5) ◽  
pp. 13-18
Author(s):  
Parimal Solanki ◽  
Dr. Dipak M Patel ◽  
Dr. Darshak G Thakore
Keyword(s):  
Long Range ◽  
Precision Agriculture ◽  
Cost Effective ◽  
Great Distance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Agricultural System ◽  
Wireless Protocols ◽  
Smart Farming ◽  
Smart Agriculture

Over the past few years, the designing in smart agriculture system is a very important concept. Using smart farming techniques we can build up the crop yield, and concurrently attain better output from the input. In precision agriculture, a wireless sensor network brings a cost-effective solution to watch and manipulate. We already have many wireless protocols like Wi-Fi, Cellular, BLE (Bluetooth low energy), etc. Although this automation, not optimal for cultivation sensor nodes, there is a demand to send information to a great distance without an internet connection. This leads to boost the LoRa (Long range) technology, which can do very long-range transmission with the lowest cost [14]. The paper provides a brief survey of certain requirements for Smart Agriculture such as wireless sensor networks.

scholarly journals Data-Centric UML Profile for Wireless Sensors

2019 ◽  
Vol 10 (2) ◽  
pp. 21-48
Author(s):  
Julian Eduardo Plazas ◽  
Sandro Bimonte ◽  
Gil De Sousa ◽  
Juan Carlos Corrales
Keyword(s):  
Precision Agriculture ◽  
Point Of View ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Uml Profile ◽  
Smart Farming ◽  
Different Characteristics ◽  
Computer Aided Software Engineering

Modelling WSN data behaviour is relevant since it would allow to evaluate the capacity of an application for supplying the user needs, moreover, it could enable a transparent integration with different data-centric information systems. Therefore, this article proposes a data-centric UML profile for the design of wireless sensor nodes from the user point-of-view capable of representing the gathered and delivered data of the node. This profile considers different characteristics and configurations of frequency, aggregation, persistence and quality at the level of the wireless sensor nodes. Furthermore, this article validates the UML profile through a computer-aided software engineering (CASE) tool implementation and one case study, centred on the data collected by a real WSN implementation for precision agriculture and smart farming.

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 Energy Efficiency Analysis of Wireless Sensor Networks in Precision Agriculture Economy

2021 ◽  
Vol 2021 ◽  
pp. 1-7 ◽  
Author(s):  
Bingtao Zhang ◽  
Lingyan Meng
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
Precision Agriculture ◽  
Agricultural Production ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Long Distance ◽  
Information Platform ◽  
Wireless Protocols ◽  
Proposed Model

Wireless sensor network (WSN) can play an important role during precision agriculture production to promote the growth of the agricultural economy. The application of WSN in agricultural production can achieve precision agriculture. WSN has the biggest challenge of energy efficiency. This paper proposes a model to efficiently utilize the energy of sensor nodes in precision agriculture production. The proposed model provides a comprehensive analysis of the precision agriculture. The model focuses on the characteristics of WSN and expands its application in precision agriculture. In addition, this paper also puts forward some technical prospects to provide a good reference for comprehensively and effectively improving the overall development level of precision agriculture. The paper analyzes the applicability and limitations of the existing sensor networks used for agricultural production technology. The ZigBee and Lora wireless protocols are utilized to have the best power consumption and communication in short distance and long distance. Our proposed model also suggests improvement measures for the shortcomings of existing WSN in the context of energy efficiency to provide an information platform for WSN to play a better role in agricultural production.

scholarly journals Power Reduction with Sleep/Wake on Redundant Data (SWORD) in a Wireless Sensor Network for Energy-Efficient Precision Agriculture

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3450 ◽  
Author(s):  
Haider Jawad ◽  
Rosdiadee Nordin ◽  
Sadik Gharghan ◽  
Aqeel Jawad ◽  
Mahamod Ismail ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Power Consumption ◽  
Precision Agriculture ◽  
Data Communication ◽  
Power Reduction ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Climate Conditions ◽  
Redundant Data ◽  
Comparison Results

The use of wireless sensor networks (WSNs) in modern precision agriculture to monitor climate conditions and to provide agriculturalists with a considerable amount of useful information is currently being widely considered. However, WSNs exhibit several limitations when deployed in real-world applications. One of the challenges faced by WSNs is prolonging the life of sensor nodes. This challenge is the primary motivation for this work, in which we aim to further minimize the energy consumption of a wireless agriculture system (WAS), which includes air temperature, air humidity, and soil moisture. Two power reduction schemes are proposed to decrease the power consumption of the sensor and router nodes. First, a sleep/wake scheme based on duty cycling is presented. Second, the sleep/wake scheme is merged with redundant data about soil moisture, thereby resulting in a new algorithm called sleep/wake on redundant data (SWORD). SWORD can minimize the power consumption and data communication of the sensor node. A 12 V/5 W solar cell is embedded into the WAS to sustain its operation. Results show that the power consumption of the sensor and router nodes is minimized and power savings are improved by the sleep/wake scheme. The power consumption of the sensor and router nodes is improved by 99.48% relative to that in traditional operation when the SWORD algorithm is applied. In addition, data communication in the SWORD algorithm is minimized by 86.45% relative to that in the sleep/wake scheme. The comparison results indicate that the proposed algorithms outperform power reduction techniques proposed in other studies. The average current consumptions of the sensor nodes in the sleep/wake scheme and the SWORD algorithm are 0.731 mA and 0.1 mA, respectively.

scholarly journals Desarrollo de un sistema inalámbrico escalable de medición de humedad del suelo en un cultivo de vid

2020 ◽  
pp. 20-30
Author(s):  
Ortega-Corral César ◽  
B. Ricardo Eaton-González ◽  
Florencio López Cruz ◽  
Laura Rocío, Díaz-Santana Rocha
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Precision Agriculture ◽  
Drip Irrigation ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless System ◽  
Different Depths

We present a wireless system applied to precision agriculture, made up of sensor nodes that measure soil moisture at different depths, applied to vine crops where drip irrigation is applied. The intention is to prepare a system for scaling, and to create a Wireless Sensor Network (WSN) that communicates by radio frequency with a base station (ET), so that the gathered data is stored locally and can be sent out an Internet gateway.

An Automated Optimize Utilization of Water and Crop Monitoring in Agriculture Using IoT

2021 ◽  
pp. 37-45
Author(s):  
Ajith Krishna R ◽  
◽  
◽  
◽  
Ankit Kumar ◽  
...  
Keyword(s):  
Soil Analysis ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Leaf Wetness ◽  
Productivity Analysis ◽  
Factors Affecting ◽  
Crop Monitoring ◽  
Different Types ◽  
Smart Agriculture ◽  
Climate Analysis

Agriculture is the primary occupation in our country for ages. But now due to migration of people from rural to urban there is hindrance in agriculture. So, to overcome this problem we go for smart agriculture techniques using IoT. This paper includes various features like GPS based remote controlled monitoring, moisture & temperature sensing, intruders scaring, security, leaf wetness and proper irrigation facilities. It makes use of wireless sensor networks for noting the soil properties and environmental factors continuously. Various sensor nodes are deployed at different locations in the farm. Controlling these parameters are through any remote device or internet services and the operations are performed by interfacing sensors, Wi-Fi, camera with microcontroller. This concept is created as a product and given to the farmer’s welfare. AI Solution for Farmers perform soil analysis, climate analysis, and productivity analysis using linear regression. It helps farmers to understand about the crop to be sown as well as the factors affecting their productivity with the help of different types of graphs and tables. Farmers need not to do anything on the application as it is highly interactive as by using speech API.

A framework for indoor construction resources tracking by applying wireless sensor networks1This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.

2012 ◽  
Vol 39 (9) ◽  
pp. 1083-1088 ◽  
Author(s):  
Xuesong Shen ◽  
Ming Lu
Keyword(s):  
Radio Frequency Identification ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Received Signal Strength Indicator ◽  
Construction Engineering ◽  
Global Positioning ◽  
Frequency Identification ◽  
Selection Of

The state-of-the-art tracking technologies, such as the global positioning system (GPS) and the radio frequency identification (RFID), lend themselves well to applications in relatively open areas, while falling short of accuracy and reliability in indoor or partially covered application settings due to signal blockage, distortion or deterioration. This research aims to address this challenge in construction engineering by exploring a cost-effective positioning methodology to realize automated and continuous tracking of construction resources. The emerging ZigBee-based wireless sensor networks (WSN) technology is introduced. A framework of WSN application is proposed for indoor construction resources tracking, which consists of a group of stationary and mobile sensor nodes that can communicate with one another. Real-time locations of the mobile nodes can be determined by applying the localization method based on received signal strength indicator (RSSI) and geometric trilateration.

scholarly journals Enhancing Energy Saving in Smart Farming through Aggregation and Partition Aware IoT Routing Protocol

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2760 ◽  
Author(s):  
Karim Fathallah ◽  
Mohamed Abid ◽  
Nejib Ben Hadj-Alouane
Keyword(s):  
Low Power ◽  
Energy Saving ◽  
Routing Protocol ◽  
Precision Agriculture ◽  
Routing Algorithm ◽  
High Energy ◽  
Sensor Nodes ◽  
Personal Area Networks ◽  
Lossy Networks ◽  
Smart Farming

Internet of things (IoT) for precision agriculture or Smart Farming (SF) is an emerging area of application. It consists essentially of deploying wireless sensor networks (WSNs), composed of IP-enabled sensor nodes, in a partitioned farmland area. When the surface, diversity, and complexity of the farm increases, the number of sensing nodes increases, generating heavy exchange of data and messages, and thus leading to network congestion, radio interference, and high energy consumption. In this work, we propose a novel routing algorithm extending the well known IPv6 Routing Protocol for Low power and Lossy Networks (RPL), the standard routing protocol used for IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). It is referred to as the Partition Aware-RPL (PA-RPL) and improves the performance of the standard RPL. In contrast to RPL, the proposed technique builds a routing topology enabling efficient in-network data aggregation, hence dramatically reducing data traffic through the network. Performance analysis of a typical/realistic precision agriculture case, considering the potato pest prevention from the well-known late blight disease, shows that PA-RPL improves energy saving up to 40 % compared to standard RPL.

scholarly journals Current research on Internet of Things (IoT) in Agriculture

2020 ◽  
Vol 9 (8) ◽  
pp. 882-886
Keyword(s):  
Power Supply ◽  
Precision Agriculture ◽  
Large Scale ◽  
Low Cost ◽  
Low Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Major Application ◽  
Sensing Time

IoT, a sensation in modern-day technology, has a major impact on the rapidly growing technological aspects. It’s making people’s life easier and also enabling us to do things that were previously seen as miracles. It helps in solving many complex real-time problems. One such major application in the field of agriculture can turn out to be productive and profitable. This paper explains a variety of techniques infusing IoT in agriculture, that helps in productive and predictive results in that field, thereby leading towards precision agriculture. A low-cost power supply and unambiguous farming can be possible with using IoT system. Wireless Sensor Networks (WSN) in which sensor nodes learn and adopt over the sensing time, gives simplicity, low energy usage. This is aimed to be deployed on a large scale by predicting using big data techniques from centralized data analysis.

scholarly journals A Review on Various Techniques to Transform Traditional Farming to Precision Agriculture

2021 ◽  
Vol 12 (2) ◽  
pp. 131-135
Author(s):  
Rana Gill
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Precision Agriculture ◽  
Wireless Sensors ◽  
Agricultural Sector ◽  
Wireless Sensor ◽  
Time Data ◽  
Traditional Farming ◽  
Agriculture Sector ◽  
Smart Farming

The agricultural sector is of great importance to fulfill food resources need of the country. Precision Agriculture (PA) with Internet of Things and Wireless Sensor Network is a transformation from traditional farming to smart farming. Wireless sensor networks and Internet of Things are considered as drivers to develop system which can change agriculture sector from manual to automatic. Advancement in the technology have pushed the growth of precision agriculture to very large extent despite of several challenges faced in this area. System for precision agriculture relies on hardware components mainly wireless sensors which act as a source for gathering of real time data. Depending upon the real time date retrieved by sensors automation in agriculture is done by adopting decision-based system. With Precision agriculture productivity is optimized by maintaining sustaniability as crop receives what is acutual requirement on the basis of new techniques and software platforms. This review article includes Inernet of Things (IoT), Wireless Sensors, Wireless communication and challenges faced in this area.

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