scispace - formally typeset
Search or ask a question
Book ChapterDOI

Agricultural Monitoring and Controlling System Using Wireless Sensor Network

01 Jan 2019-Vol. 898, pp 47-56
TL;DR: In this paper, a continuous monitoring of environmental and soil parameters helps in taking profitable decisions, such as sprinkling water according to the soil moisture levels in the soil and spraying of the fertilizers based on the soil pH value.
Abstract: In recent years, the automation in agricultural has become a significant issue. The parameters like soil pH, soil moisture, light intensity, temperature, and humidity play a crucial role to increase the productivity of the crops. The continuous monitoring of these environmental and soil parameters helps in taking profitable decisions. For effective utilization of resources like irrigation water and fertilizers, sprinkling of water can be done according to the soil moisture levels in the soil and spraying of the fertilizers can be done according to the soil pH value. Health monitoring of the plants is crucial for sustainable agriculture. Camera module is used to acquire the images of the plants, and image processing techniques can be applied on the acquired images for pest’s detection and disease detection. The system gathers the camera data and sensor data and analyzes continuously in a feedback loop which actuates the control devices according to the threshold values.
Citations
More filters
Journal ArticleDOI
TL;DR: It is found that up to 60% of water can be saved by employing MICS via IoT, which provides a convenient and satisfactory solution for water management in the agricultural and industrial sectors as well as domestic consumption.
Abstract: In the 21th century water management using new technologies is a must due to the rapid growth of population, drought, and water scarcity. The Internet of Things (IoT) system with wireless devices can be employed to achieve this requirement. This paper introduces an innovative technique of multi-intelligent control system (MICS) of a water pump and a pump station, which is practically designed, set up, and used in an agricultural sector. The main component of MICS consists of three control systems, including the electro-pump controller, water level in reservoir and alarm control system. The entire system is governed by the IoT technology and operated via SMS or ringtone, which is manageable from anywhere at any time. A soft starter mechanism was designed and considered for running the electro-pump to eliminate the electrical shocks and mechanical stresses. In the proposed control system, a 4-state switch was designed and employed, which facilitates running and operating the system manually, automatically, using IoT state, and finally in off mode state. Description of the control and power circuits of the system are explained in detail. MICS is a very reliable system and provides a convenient and satisfactory solution for water management in the agricultural and industrial sectors as well as domestic consumption. The model is applied to a practical case study to demonstrate the effectiveness of the proposed control system. It is found that in addition to increasing the efficiency and productivity of the water management system, up to 60% of water can be saved by employing MICS via IoT.

34 citations

Journal ArticleDOI
17 Jul 2020-Energies
TL;DR: A WSN-based IoT system that seamlessly integrates all aforementioned technologies, having at its core the cloud/fog hybrid network architecture, and is able to autonomously adjust its sensing behavior based on the criticality of the prevailing environmental conditions, regarding one of the most notable climate hazards, wildfires.
Abstract: Internet of Things (IoT) appliances, especially those realized through wireless sensor networks (WSNs), have been a dominant subject for heavy research in the environmental and agricultural sectors. To address the ever-increasing demands for real-time monitoring and sufficiently handle the growing volumes of raw data, the cloud/fog computing paradigm is deemed a highly promising solution. This paper presents a WSN-based IoT system that seamlessly integrates all aforementioned technologies, having at its core the cloud/fog hybrid network architecture. The system was intensively validated using a demo prototype in the Ionian University facilities, focusing on response time, an important metric of future smart applications. Further, the developed prototype is able to autonomously adjust its sensing behavior based on the criticality of the prevailing environmental conditions, regarding one of the most notable climate hazards, wildfires. Extensive experimentation verified its efficiency and reported on its alertness and highly conforming characteristics considering the use-case scenario of Corfu Island’s 2019 fire risk severity. In all presented cases, it is shown that through fog leveraging it is feasible to contrive significant delay reduction, with high precision and throughput, whilst controlling the energy consumption levels. Finally, a user-driven web interface is highlighted to accompany the system; it is capable of augmenting the data curation and visualization, and offering real-time wildfire risk forecasting based on Chandler’s burning index scoring.

14 citations


Cites background from "Agricultural Monitoring and Control..."

  • ...A recent appliance that meets these guidelines was described in [55]; the paper details a control system for monitoring field data originating from camera and sensor nodes deployed in crops....

    [...]

Journal ArticleDOI
06 Mar 2020
TL;DR: The system incorporates the cloud/fog computing paradigm to equip the olive growers with a low-cost solution for accurate, reliable, and almost real-time monitoring of their crops, and is capable of dynamic functionality adaptation, to meet network traffic load constraints.
Abstract: The emerging and vast adoption of the Internet of Things (IoT) has sprung a plethora of research works regarding the potential benefits in smart agriculture. A popular implementation involves the deployment of Wireless Sensor Networks (WSNs), which embed low energy consumption sensory nodes to capture the critical environmental parameters prevailing on the farms. However, to manage the ever-increasing volumes of raw data successfully, new approaches must be explored. Under this scope, current work reports on the design and development of an IoT system, having in mind the case of olive groves, which are considered the dominant sector for agricultural activity in the Mediterranean Basin. The system incorporates the cloud/fog computing paradigm to equip the olive growers with a low-cost solution for accurate, reliable, and almost real-time monitoring of their crops. Its core is based on a three-layered network architecture, capable of dynamically balancing the generated load, by pushing cloud-elastic resources to the underlying fog network. As such, the premise of the approach lies in the conforming character of the system that allows for targeted alterations to its operational functionality to meet stringent latency and traffic load environmental monitoring constraints. To evaluate the performance of the proposed architecture, a demo prototype is developed and deployed in the facilities of the Ionian University. Experimental results illustrate the efficiency, flexibility, and scalability of the approach in terms of latency, achieving response time reduction across all platforms, a subject of the utmost importance when it comes to precision agriculture of the future. Moreover, it is shown that the system is capable of dynamic functionality adaptation, to meet network traffic load constraints, achieving high throughput (on average 95%) and addressing potential environmental dangers to olive oil production.

14 citations

Journal ArticleDOI
TL;DR: An embedded vision system for the strawberry crop named “berryIP Embedded” is developed, considering hardware with sensors, camera and wi-fi in an embedded platform, sending information to software to collect weather data and to determine the leaf area by image manipulation techniques.

3 citations

Proceedings ArticleDOI
23 May 2022
TL;DR: In this paper , the lifespan of one type of ornamental flower will be monitored by several sensors, such as soil moisture and temperature, which can be easily performed using various sensors that immediately measure the desired values.
Abstract: The digital revolution has made a significant step forward in the application of information technology in monitoring the changes taking place around us. The Internet of Things is widely used to modernize and optimize agricultural processes. Achieving an ideal model of information technology management in agriculture requires data collection that will ensure an adequate range of impact on agricultural cultures. In this paper, the lifespan of one type of ornamental flower will be monitored by several sensors. Monitoring parameters such as soil moisture and temperature are easily performed using various sensors that immediately measure the desired values. Numerous papers report on monitoring and controlling plant growth, but most of them are based only on monitoring values obtained from sensors. Using various sensors and a camera, growers can react promptly and see the change in leaves and/or flowers. Monitoring changes with sensors and cameras provides data that help automate the cultivation of cultures.
References
More filters
Journal ArticleDOI
TL;DR: An automated irrigation system developed to optimize water use for agricultural crops has the potential to be useful in water limited geographically isolated areas.
Abstract: An automated irrigation system was developed to optimize water use for agricultural crops. The system has a distributed wireless network of soil-moisture and temperature sensors placed in the root zone of the plants. In addition, a gateway unit handles sensor information, triggers actuators, and transmits data to a web application. An algorithm was developed with threshold values of temperature and soil moisture that was programmed into a microcontroller-based gateway to control water quantity. The system was powered by photovoltaic panels and had a duplex communication link based on a cellular-Internet interface that allowed for data inspection and irrigation scheduling to be programmed through a web page. The automated system was tested in a sage crop field for 136 days and water savings of up to 90% compared with traditional irrigation practices of the agricultural zone were achieved. Three replicas of the automated system have been used successfully in other places for 18 months. Because of its energy autonomy and low cost, the system has the potential to be useful in water limited geographically isolated areas.

591 citations

Proceedings ArticleDOI
01 Dec 2015
TL;DR: An overview of security principles, technological and security challenges, proposed countermeasures, and the future directions for securing the IoT is presented.
Abstract: The paper presents a survey and analysis on the current status and concerns of Internet of things (IoT) security. The IoT framework aspires to connect anyone with anything at anywhere. IoT typically has a three layers architecture consisting of Perception, Network, and Application layers. A number of security principles should be enforced at each layer to achieve a secure IoT realization. The future of IoT framework can only be ensured if the security issues associated with it are addressed and resolved. Many researchers have attempted to address the security concerns specific to IoT layers and devices by implementing corresponding countermeasures. This paper presents an overview of security principles, technological and security challenges, proposed countermeasures, and the future directions for securing the IoT.

518 citations

Journal ArticleDOI
TL;DR: In this paper, a wireless sensor network architecture for vegetable greenhouse is proposed in order to achieve scientific cultivation and lower management costs from the aspect of environmental monitoring, according to the analysis of the features of greenhouse environment, a practical and low-cost greenhouse monitoring system is designed based on WSN technology to monitor key environmental parameters such as the temperature, humidity and illumination.

366 citations

Proceedings ArticleDOI
16 Mar 2017
TL;DR: Monitoring temperature and humidity in agricultural field through sensors using CC3200 single chip to improve the yield of the efficient crops and making use of evolving technology i.e. IoT and smart agriculture using automation.
Abstract: Internet of Things (IoT) plays a crucial role in smart agriculture. Smart farming is an emerging concept, because IoT sensors capable of providing information about their agriculture fields. The paper aims making use of evolving technology i.e. IoT and smart agriculture using automation. Monitoring environmental factors is the major factor to improve the yield of the efficient crops. The feature of this paper includes monitoring temperature and humidity in agricultural field through sensors using CC3200 single chip. Camera is interfaced with CC3200 to capture images and send that pictures through MMS to farmers mobile using Wi-Fi.

262 citations

Journal ArticleDOI
TL;DR: This study presents a novel STRS methodology which uses Bayesian theory to impute missing spectral information in the multispectral imagery and introduces observation uncertainties into the interpolations.
Abstract: Precision agriculture requires detailed crop status information at high spatial and temporal resolutions Remote sensing can provide such information, but single sensor observations are often incapable of meeting all data requirements Spectral–temporal response surfaces (STRSs) provide continuous reflectance spectra at high temporal intervals This is the first study to combine multispectral satellite imagery (from Formosat-2) with hyperspectral imagery acquired with an unmanned aerial vehicle (UAV) to construct STRS This study presents a novel STRS methodology which uses Bayesian theory to impute missing spectral information in the multispectral imagery and introduces observation uncertainties into the interpolations This new method is compared to two earlier published methods for constructing STRS: a direct interpolation of the original data and a direct interpolation along the temporal dimension after imputation along the spectral dimension The STRS derived through all three methods are compared to field measured reflectance spectra, leaf area index (LAI), and canopy chlorophyll of potato plants The results indicate that the proposed Bayesian approach has the highest correlation (r = 0953) and lowest RMSE (0032) to field spectral reflectance measurements Although the optimized soil-adjusted vegetation index (OSAVI) obtained from all methods have similar correlations to field data, the modified chlorophyll absorption in reflectance index (MCARI) obtained from the Bayesian STRS outperform the other two methods A correlation of 083 with LAI and 077 with canopy chlorophyll measurements are obtained, compared to correlations of 027 and 009, respectively, for the directly interpolated STRS

217 citations

Trending Questions (2)
How can SBAS be used in agriculture monitoring ?

The paper does not mention the use of SBAS in agricultural monitoring.

How can we effectively monitor environmental risks in agricultural settings?

By continuously monitoring soil pH, soil moisture, light intensity, temperature, and humidity using wireless sensor networks, farmers can make profitable decisions and effectively manage resources like water and fertilizers.