scholarly journals The Usage of IoT and far off Sensor Associations and their Application in Horticulture for the Improvement of Yield Efficiency in India

Author(s):  
PRATIK CHOKHOBA GHUTKE ◽  
Rahul Agrawal

Abstract In the development of mortal civilization, farming assumes a key part. Individuals are taking a stab at giving extra endeavor likewise extraordinary ways to deal with duplicate food presentation as a result of the expanded interest for food. One such activity is the utilization of different advances for horticulture. As IoT sensors are equipped for giving horticultural field data and afterward following up based on crack information, keen cultivating is an arising term. The rising need of sustenance, in respects with total and greatness, has expanded the interest for the farming area to heighten and industrialize. The IoT is a very reassuring family of robotizations having able in giving various answers for rural modernization In this work, the development of a wise ranch structure utilizing the guaranteed winner of progressive automation including Arduino Uno, Web of Things and Remote Sensor Organization is proposed. The element of this paper is the improvement of a framework is utilized to control temperature, moistness, mugginess and furthermore the mediation of creatures through sensors to execute crops in the farming area utilizing the Arduino board in case of any distinction, following ecological conditions utilizing 3G/4G/5G/Wi-Fi modules are considered as major ingredient in achieving the yield of productive crops, and sending the SMS notification and an application notification designed similar towards producer's smart phone making use of 3G/4G/5G/Wi-Fi modules. There are a few examination issues identified with sensors and their organizations due to the meaning of sensor innovation. A portion of the significant sensor network issues for which a few arrangements have been proposed by scientists are energy requirements, restricted handling power, little memory and information security. The work fundamentally centers in investigating the requirement for remote sensors in various fields of agribusiness additionally tells the new progression in the IoT market, need of robotization in horticulture area likewise what all difficulties ranchers are confronting utilizing IoT.

2011 ◽  
Vol 308-310 ◽  
pp. 2328-2333
Author(s):  
Li Fu Li

The thermal control indicators CAE methods of Space optical remote sensor are analyzed in the presented work. We sat up a thermal optical analysis model for space optical remote sensor. By assuming fully covered by in-orbit temperature load, and using the finite element method for thermal deformation analysis, we obtained the optical remote sensor surface deformation and displacement under various thermal loading. Using ZERNIKE polynomial, wave was fitted to obtain ZERNIKE polynomial coefficients which were incorporated into the optical system design. Using CODE V optical calculation software, heat-ray machines under elastic deformation of the system point spread function, transfer function (MTF), wave front differential (WFE) etc. were calculated. Image quality changes of remote sensors are discussed in variety assumed cases such as temperature loads of quality change. By repeated iteration, critical value of temperature fields meeting the design requirements are obtained for the optical system. Optical indicators were converged to the temperature field indicator, then reasonable indicators of thermal control for remote sensors were obtained. For the thermal control design, this method provided a reliable basis for design.


2017 ◽  
Vol 51 (4) ◽  
pp. 6-11
Author(s):  
Dallas J. Meggitt ◽  
Michèle Bullock

AbstractForward-deployed and remote sensor systems all require persistent, autonomous, reliable in situ sources of energy. There are several different classes of forward-deployed systems, each of which typically has a different range of energy requirements. Some of these systems are buoys; others are bottom-laid. Several such systems are being developed for a variety of scientific and military applications, including, for example, (1) remote systems with a single or small number of sensors; (2) networked scientific sensor systems (Undersea Distributed Networks); (3) low-power, forward-deployed surveillance systems with many sensors; and (4) forward-deployed communications relay systems. Energy requirements for these systems depend on several factors, including overall energy requirements, mission duration, duty cycle, observability, and fixed or mobile system. Many previous and current forward-deployed systems have depended on batteries for energy, but batteries are limited in the amount of energy they can store unless they can be recharged or replaced. Some previous systems have used diesel, sometimes in combination with solar panels and battery backups, but solar panels degrade and lose efficiency with salt encrustation, corrosion, and bird excrement. Recent developments in reliable, scalable wave energy technology, together with relatively efficient energy storage technologies, offer the opportunity for application of these technologies for providing autonomous power to remote sensor systems. This paper describes several remote sensor systems, reviews and summarizes energy requirements for these systems, and provides in situ wave energy system concepts to meet these requirements. The paper focuses on wave energy as being closest to practical implementation of current renewable energy technologies.


2018 ◽  
Vol 176 ◽  
pp. 08001
Author(s):  
Alexei Kolgotin ◽  
Detlef Müller ◽  
Eduard Chemyakin ◽  
Anton Romanov

In this study we explore how the combination of 3 backscatter and 2 extinction lidar data with data that can be collected with ground-based and space-borne passive remote sensors, e.g. phase function coefficients which can be derived at various measurement wavelengths and scattering angles can result in improved profiles of particle microphysical properties. The algorithm is based on a light-scattering model that uses a mixture of spheres and randomly oriented spheroids.


wireless sensor network (WSN) is an unmistakable innovation for a long while. In most genuine applications, the immense measure of information assembled utilizing sensors are required to be put away and be made accessible for whenever, anyplace get to. However, WSNs are made out of asset obliged gadgets which absence of abilities to store gigantic lump of information and perform ensuing preparing of the information. WSNs can be increased by cloud condition which offers such administrations. Thus, a Sensor-Cloud structure is imagined in this proposition coordinating remote sensor connect with cloud condition. The coordinated system is appropriate for versatile and unavoidable figuring applications empowering Internet of Things (IoT) and planned to be utilized in genuine applications. Creating countries need proportionate social insurance conveyance answers for serve gigantic populace. This proposition features the issues identified with medicinal services conveyance that might be tended to utilizing the incorporated system. It might be utilized for empowering individuals, networks, medicinal services associations to gather and transmit wellbeing data as and when required so as to improve social insurance administrations for the provincial and urban populace. Inside the IoT empowered structure, few difficulties are recognized for examination. This theory stresses on difficulties including remote sensors and gives specialized answers for these difficulties. WSNs ordinarily work on IEEE 802.15.4 standard utilizing exclusive conventions which includes structure and the board unpredictability when combined with Internet. This postulation furnishes answer for coordinate sensor worldview with cloud condition which depends on


2012 ◽  
Vol 8 ◽  
pp. 55-72
Author(s):  
Ikechukwu Maduako

Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote sensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic services such as the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the network before they are fused and processed on the service middleware. This process is very massive and unnecessary communication and work load on the service. Massive work load in large raster downloads from flat-file raster data sources each time a request is made and huge integration and geo-processing work load on the service middleware which could actually be better leveraged at the database level. In this paper, we propose and present a heterogeneous sensor database framework or model for integration, geo-processing and spatial analysis of remote and in-situ sensor observations at the database level.  And how this can be integrated in the Sensor Observation Service, SOS to reduce communication and massive workload on the Geospatial Web Services and as well make query request from the user end a lot more flexible.


1997 ◽  
Vol 78 (9) ◽  
pp. 1991-2006 ◽  
Author(s):  
Edgeworth R. Westwater

In the last decade, substantial advances have been made in the remote sensing of tropospheric temperature and water vapor. Techniques include measurement of virtual temperature by Radio Acoustic Sounding Systems (RASS), the combination of RASS with satellite soundings, the measurement of precipitable water vapor by Global Positioning Systems, the measurement of water vapor profiles by Raman and differential absorption lidar, and the measurement of both temperature and water vapor profiles by Fourier Transform Infrared Radiometers. However, none of the techniques, by itself, is capable of satisfying most meteorological and climate needs. Thus, determination of profiles from combinations of data and sensors is the only practical way of satisfying these needs. In this paper, some of the techniques used for combining remote sensor data are outlined, some of the current sensors are described, and then examples of data derived from these combinations are presented. The role of the radiosonde in remote sensor evaluation, retrievals, and calibration is discussed. Finally, some of the new possibilities for combined remote sensors are presented.


2021 ◽  
Author(s):  
Pratik C. Ghutke ◽  
Rahul Agrawal

Abstract In the growth of mortal civilization, agriculture plays a key role. People are trying giving additional attempt also special approaches to multiply food exhibition because of the increased demand for food. One such initiative is the use of various technologies for agriculture. As IoT sensors are capable of providing agricultural field information and then acting on the basis of freak input, smart farming is an emerging term. The rising necessity of nourishment, in regards with aggregate and excellence, has increased the demand for the agricultural sector to intensify and industrialize. The IoT is a extremely encouraging household of automations having competent in providing numerous solutions for agricultural modernization. In this work, the evolution of a intelligent plantation structure using the trump card of revolutionary mechanization including Arduino Uno, Internet of Things and Wireless Sensor Network is proposed. The feature of this paper is the development of a system is used to control temperature, humidity, humidity and also the intervention of animals through sensors to kill crops in the agricultural sector using the Arduino board In the event of any difference, following environmental conditions making use of using 3G/4G/5G/Wi-Fi modules are considered as major ingredient in achieving the yield of productive crops, and sending the SMS notification and an application notification designed similar towards producer's smart phone making use of 3G/4G/5G/Wi-Fi modules. There are several research problems related to sensors and their networks because of the significance of sensor technology. Some of the major sensor network issues for which several solutions have been suggested by researchers are energy constraints, limited processing power, small memory and data security. The work mainly focuses in exploring the need for wireless sensors in different fields of agriculture also tells the recent advancement in the IoT market, need of automation in agriculture sector also what all challenges farmers are facing using IoT.


Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6232
Author(s):  
Josep M. Maso ◽  
Tomas Gonzalez ◽  
Jordi Male ◽  
Joaquim Porte ◽  
Joan L. Pijoan ◽  
...  

The number of Internet of Things (IoT) devices has experienced a large growth during the last decade, as well as the data volume gathered from remote sensors. Satellites are still a suitable communication method and may be preferable for a remote ubiquitous sensor network (USN), which sometimes are located in places without much communications infrastructure where coverage is the principal drawback. Alternatively, the proposed solution for this article aims at a near-vertical incidence skywave (NVIS) channel for high frequencies (HF) with a low-cost platform, allowing a low-power transmissions coverage area up to 250 km for USN. The HF standards are focused on generic communication channels not being robust for NVIS communications. In this article we study and test an alternative based on orthogonal frequency-division multiplexing (OFDM) modulations to make them more robust and less dependent on the channel NVIS communications. For that purpose, we test the HF standard modulations and a designed OFDM modulation to prove the robustness of each. This study has been tested between Barcelona and Tarragona, using different transmission power levels and modulation orders.


Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1860
Author(s):  
Minjin Baek ◽  
Jungwi Mun ◽  
Woojoong Kim ◽  
Dongho Choi ◽  
Janghyuk Yim ◽  
...  

Driving environment perception for automated vehicles is typically achieved by the use of automotive remote sensors such as radars and cameras. A vehicular wireless communication system can be viewed as a new type of remote sensor that plays a central role in connected and automated vehicles (CAVs), which are capable of sharing information with each other and also with the surrounding infrastructure. In this paper, we present the design and implementation of driving environment perception based on the fusion of vehicular wireless communications and automotive remote sensors. A track-to-track fusion of high-level sensor data and vehicular wireless communication data was performed to accurately and reliably locate the remote target in the vehicle surroundings and predict the future trajectory. The proposed approach was implemented and evaluated in vehicle tests conducted at a proving ground. The experimental results demonstrate that using vehicular wireless communications in conjunction with the on-board sensors enables improved perception of the surrounding vehicle located at varying longitudinal and lateral distances. The results also indicate that vehicle future trajectory and potential crash involvement can be reliably predicted with the proposed system in different cut-in driving scenarios.


Sign in / Sign up

Export Citation Format

Share Document