A low power iot network for smart agriculture


A low-power wide-area network (LPWAN) is the perfect technology solution for these smart agriculture operations. A variety of LPWAN technologies exist on both licensed and unlicensed RF bands. The three most widely used LPWAN technologies globally are LoRa, Sigfox, and NB-IoT, which are all at the forefront of the smart agriculture industry.


What are the applications of IoT for smart farming?

From the identified applications of IoT for smart farming it was observed that the most common application is the monitoring of crops. This review also showed that different network protocols may be simultaneously used in IoT solutions for smart farming.

What is IoT for vehicles and machinery control?

IoT solutions for vehicles and machinery control focused on collecting data of and managing agricultural equipment and machinery such as tractors, harvesters and trucks. For this purpose, IoT solutions had to deal with the characteristics inherent to agricultural equipment, such as mobility.

Is Wi-Fi the best solution for smart agriculture?

Wi-Fi, an obvious wireless solution across the world, is now being used extensively in smart agriculture. With ranges of up to 300 feet outdoors from a single router, Wi-Fi is an excellent solution for small to midsize smart agriculture applications when used for a standalone hub.

What is smart agriculture and how does it work?

Smart agriculture relies on critically important technologies to perform tasks like sensing, processing, storing, networking, and physically moving. However, there’s one technology that binds these together and allows for the remarkable IoT solutions we find in smart agriculture — wireless communications.


What is smart agriculture using IoT?

IoT smart farming solutions is a system that is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, crop health, etc.) and automating the irrigation system. The farmers can monitor the field conditions from anywhere.

What are the examples of IoT in agriculture?

Some examples of such agriculture IoT devices are allMETEO, Smart Elements, and Pycno.Greenhouse automation. … Crop management. … Cattle monitoring and management. … Precision farming. … Agricultural drones. … Predictive analytics for smart farming. … End-to-end farm management systems.

Can IoT be used in agriculture?

IOT TECHNOLOGIES IN AGRICULTURE IoT smart agriculture products are designed to help monitor crop fields using sensors and by automating irrigation systems. As a result, farmers and associated brands can easily monitor the field conditions from anywhere without any hassle.

What are the technologies used in smart agriculture?

The technologies driving the ‘smart farming revolution’ include the Internet of Things (IoT), edge computing, 5G, blockchain, AI, machine learning, robotics and drones.

How can IoT benefit agriculture?

IoT in agriculture is designed to help farmers monitor vital information like humidity, air temperature and soil quality using remote sensors, and to improve yields, plan more efficient irrigation, and make harvest forecasts.

How can IoT convert farming into smart farming?

IoT Use Cases in AgricultureMonitoring of Climate Conditions. Probably the most popular smart agriculture gadgets are weather stations, combining various smart farming sensors. … Greenhouse Automation. … Crop Management. … Cattle Monitoring and Management. … End-to-End Farm Management Systems. … Hardware. … The Brain. … Maintenance.More items…•

What are the IoT technologies available that work on agriculture domain?

Usually, the two main IoT devices that used here is the Arduino board and the Raspberry Pi. The Raspberry Pi becomes the main processing unit, and an Arduino board is placed from each of water channels.

What are the basic elements of IoT in farming?

On farms, IOT allows devices across a farm to measure all kinds of data remotely and provide this information to the farmer in real time. IOT devices can gather information like soil moisture, chemical application, dam levels and livestock health – as well as monitor fences vehicles and weather.

What are the types of agricultural technology?

Types of agricultural technologyAgricultural drone.Satellite photography and sensors.IoT-based sensor networks.Phase tracking.Weather forecasting.Automated irrigation.Light and heat control.Intelligent software analysis for pest and disease prediction, soil management and other involved analytical tasks.More items…

How do motorized shades work?

Motorized window shades are widely used with embedded lithium-ion batteries that are charged by solar energy via photovoltaic (PV) arrays. The complex models of sun irradiance and glass light absorption are developed to forecast the energy balance for long term operation of those off-grid shades. However, the batteries are often depleted due to partial shading and low illumination. The paper presents a new method of monitoring the energy balance of those motorized shades via IoT networks. The battery voltage variations over time are periodically measured to calculate the input solar energy and the motor power consumption. The result can inform users to either add more PV arrays or charge battery using a power adaptor before it is completely discharged. It guarantees the continuous operation of motorized shades.

What is low power wide area network?

The advent of Low-Power Wide Area Networks has enabled significant developments of the IoT ecosystem. Long range communication using low power is now feasible and offers connectivity to remote areas where cellular network is not available. Therefore, new application scenarios have emerged, such as smart cities, smart metering and more, which are attracting a lot of attention from both research and industry. Beside the aforementioned popular scenarios, Low-Power Wide Area Networks have started to be used in wearable systems scenarios as well. In this position paper, we pose some questions regarding the Human Computer Interaction aspects of Low-Power Wide Area Networks which will help them integrate in Ubiquitous Computing applications. We illustrate by a wearable system, which is based on an foot gesture interface, a Low-Power Wide Area Network, and an Neural Network classifier. The discussion is based on the state of art of foot interfaces and highlights open issues and challenges. CCS CONCEPTS • Computer systems organization → Embedded and cyber-physical systems; • Human-centered computing → Gestural input; Human computer interaction (HCI).

How has technology changed agriculture?

Digital agriculture has opened ways of improving efficiency and reducing energy inputs by utilizing information technology to make agricultural activities more productive and consistent. Implementation of digital and automation systems, including robots, communication networks, computer-based sensors and actuators, and other advanced farm machinery, has the potential to transform agricultural activities while there is still room for improvement. The increasing rate of using fossil fuels as the power source in agricultural farms will neither be affordable nor sustainable due to climate change concerns and the adverse effects of volatile fossil fuel prices on production costs. Solar energy is the most abundant and reliable source of energy, and photovoltaic (PV) technology is the predominant electrical renewable technology for electricity production. PV technology has gradually become an energy-saving and cost-effective technique in the transformation from traditional to modern agriculture. In this chapter, the utilization of PV systems in agricultural automation and robotics is presented and case studies are discussed.

What is a WS and PS?

The WS and PS are two distinct types of machinery, mostly pow-ered using conventional energy sources. In recent times, the battery and solar-powered WS and PS have also emerged. With the current WS and PS, the main drawback is the lack of intelligence on water and pesticide use decisions and autonomous control. This paper proposes a novel multi-purpose smart farming robot (MpSFR) that handles both water sprinkling and pesticide spraying. The MpSFR is a photovoltaic (PV) powered battery-operated internet of things (IoT) and computer vision (CV) based robot that helps in automating the watering and spraying process. Firstly, the PV-powered battery-operated autonomous MpSFR equipped with a storage tank for water and pesticide drove with a programmed pumping device is engineered. The sprinkling and spraying mechanisms are made fully automatic with a programmed pattern that utilizes IoT sensors and CV to continuously monitor the soil moisture and the plant’s health based on pests. Two servo motors accomplish the horizontal and vertical orientation of the spraying nozzle. We provided an option to remotely switch the sprayer to spray either water or pesticide using an infrared device, i.e., within a 5-m range. Secondly, the operation of the developed MpSFR is ex-perimentally verified in the test farm. The field test’s observed results include the solar power profile, battery charging, and discharging conditions. The results show that the MpSFR operates effectively, and decisions on water use and pesticide are automated.

How will agriculture increase in 2050?

It is estimated that to keep pace with the predicted population growth over the next decades, agricultural processes involving food production will have to increase their output up to 70 percent by 2050. “Precision” or “smart” agriculture is one way to make sure that these goals for future food supply, stability, and sustainability can be met. Applications such as smart irrigation systems can utilize water more efficiently, optimizing electricity consumption and costs of labor; sensors on plants and soil can optimize the delivery of nutrients and increase yields. To make all this smart farming technology viable, it is important for it to be low-cost and farmer-friendly. Fundamental to this IoT revolution is thus the adoption of low-cost, long-range communication technologies that can easily deal with a large number of connected sensing devices without consuming excessive power. In this article, a review and analysis of currently available long-range wide area network (LoRaWAN)-enabled IoT application for smart agriculture is presented. LoRaWAN limitations and bottlenecks are discussed with particular focus on their effects on agri-tech applications. A brief description of a testbed in development is also given, alongside a review of the future research challenges that this will help to tackle.

What is a large scale monitoring system?

Large scale monitoring systems, enabled by the emergence of networked embedded sensing devices, offer the opportunity of fine grained online spatio-temporal collection, communication and analysis of physical parameters. Various applications have been proposed and validated so far for environmental monitoring, security and industrial control systems. One particular application domain has been shown suitable for the requirements of precision agriculture where such systems can improve yields, increase efficiency and reduce input usage. We present a data analysis and processing approach for distributed monitoring of crops and soil where hierarchical aggregation and modelling primitives contribute to the robustness of the network by alleviating communication bottlenecks and reducing the energy required for redundant data transmissions. The focus is on leveraging the fog computing paradigm to exploit local node computing resources and generate events towards upper decision systems. Key metrics are reported which highlight the improvements achieved. A case study is carried out on real field data for crop and soil monitoring with outlook on operational and implementation constraints.

Why do we use the internet of things?

It is actually made possible and success due to the involvement of different sensors that are capable of collecting the type and amount of data required. But many a times when using the setup of Internet of Applications for any kind of developed applications or an application to be developed, it is observed that the setup is built for a specified purpose and provides a one-dimensional application which basically restricts the usage of the developed system for some other purposes or does not provide a flexibility of extending the application to add further modules. In regard to this, our research work aims in creating a universal platform used especially in the field of agriculture for data transmission and reception from various sensors and plotting the statistical graphs on a dashboard. Apart from this as purpose of providing easy usage and extensibility smart devices can also be installed which provides the plug and play capability of our system.

What are the technologies used in smart agriculture?

There are a wide variety of wireless communication technologies used today in smart agriculture. Fast data transmission technologies such as Wi-Fi provide users with loads of data quickly and in close proximity. LPWAN gives users the flexibility of vast distances and low costs but limits the amount of transferable data. GPS and other GNSS provide a limited but invaluable set of data points that are useful across the globe in nearly unlimited applications.

What is GPS used for in agriculture?

In smart agriculture, global positioning gets utilized for a multitude of applications, including the tracking of animal herds, farming equipment, and even agricultural drones . John Deere is one of the largest manufacturers of agriculture equipment on the planet and heavily relies on the use of GPS and similar technologies. Some of its solutions, such as its Precision Agriculture and Guidance devices, utilize GPS to guide automated farming equipment, track productivity and coverage of critical processes, and provide data on a large scale that can aid in the efficiency of the agricultural process. Until recently, the use of GPS in smart agriculture has provided the industry with only supplementary information. However, recent developments in edge processing and intelligent driving technologies have turned GPS data into an additional input for equipment control.

How is agriculture made smart?

Many traditional agriculture applications have been made ‘smart’ by retrofitting devices, tools, assets, and resources. This retrofitting technology, however, typically requires a significantly longer-range wireless solution to transmit across vast distances commonly found on a farm or other agriculture-based land. Additionally, given their remote locations, these long-range transmission devices are often battery- or solar-powered, resulting in low-power requirements for any device operation. A low-power wide-area network (LPWAN) is the perfect technology solution for these smart agriculture operations. A variety of LPWAN technologies exist on both licensed and unlicensed RF bands.

What is the largest wireless communication system?

One of the largest, most globally adopted wireless communication infrastructures, is the Global Positioning System (GPS). While this technology is not a point-to-point communication system in the same sense as Wi-Fi or LPWAN technology, this wireless technology has had a dramatic impact on the world, including smart agriculture.

Is Wi-Fi used in agriculture?

Wi-Fi, an obvious wireless solution across the world, is now being used extensively in smart agriculture. With ranges of up to 300 feet outdoors from a single router, Wi-Fi is an excellent solution for small to midsize smart agriculture applications when used for a standalone hub. Wi-Fi is relatively advanced when compared to less popular wireless technology networks. It allows the technology to be more mature and adopted, and thus more integrable across various solutions or platforms.


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