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The purpose is to control the growth state of crops remotely, design intelligent detection application of farmland information and improve the efficiency of agricultural information management. Wireless sensor technology is applied to remote control device. First, through the integration of the system functions that need to be completed in the farm...
Citations
... With the continuous development of semiconductor technology and sensor technology, the perception, calculation, and communication capabilities of wireless sensor network technology have been comprehensively improved. As a promising technology, WSNs have been maturely used in military [2,3], health [4,5], animals and plants [6,7], industry [8,9], urban areas [10,11], etc. Extensive monitoring, tracking, and surveillance provide a variety of services; some aspects are still in the initial stage of development, such as being applied to emerging felds like intelligent communication [12], smart home [13], and smart city [14] in recent years. ...
Hybrid sensor networks, which contain mobile nodes and stationary nodes, are being used more and more widely. The second deployment of mobile nodes is a key problem to be solved, and the deployment performance of the network directly affects the monitoring effect of the network. Optimizing the configuration ratio of the two nodes can effectively reduce the network cost. In this paper, under the premise of knowing the coverage of the required monitoring area, the impact of sensor devices on node configuration is studied through parameter analysis, and the number and types of sensors that should be deployed in the hybrid sensor network are deduced, which can be conveniently and accurately used to design the actual hybrid sensor network. At the same time, for the secondary deployment of mobile nodes, this paper proposes a new mobile coverage method BS-CCP (box search and concentric circle positioning) to improve the coverage of the hybrid sensor network and maximize the coverage of the target area with the specified sensor types and numbers. Compared with existing work, the method in this paper reduces the number of iterations and reduces the number of required nodes. Comparing BS-CCP with the existing network mobile coverage algorithm, the experimental results show that the coverage obtained by this method is larger and more efficient.
... Wireless sensor networks (WSNs) are an emerging technology that allows the collection and transmission of data from a large number of remote sensors to a central location for analysis [1]. These networks are made up of small [2], low-cost devices [3] called wireless sensors that can be deployed in various environments [4], such as agriculture fields [5], to collect data on various parameters such as temperature [6], humidity [7], soil moisture [8], and light intensity [9]. In the agriculture field, WSNs have the potential to revolutionize the way farms operate by providing real-time data on crop growth and environmental conditions [10]. ...
Wireless sensor networks (WSNs) are an emerging technology that has the potential to transform the way agricultural farms operate. However, deploying WSNs in agricultural farms presents a unique set of challenges. Limited coverage area, power source availability, data collection and processing, environmental factors, cost, and integration with existing systems are some of the potential problems that need to be addressed when deploying WSNs in agricultural farms. Hence, in this work, we have proposed a method for increasing the lifetime of the sensor network which will help also help to reduce the energy. The proposed method has been evaluated in terms of network lifetime of the sensor nodes, routing and communication overhead. The results have been compared with the existing M-LEACH method and the results show that there is an enhancement of 79.02% for average network lifetime. The results also show that the proposed method reduces the average routing and communication overhead by 49.17% and 38.37% respectively.
... Liu et al. [14] proposed that the use of unmanned aerial vehicles (UAVs) can be used as air base stations to enhance the coverage and performance of communication networks in various scenarios, such as emergency communication and network access in remote areas. Zhang and Wang [15] designed a remote-control device based on a wireless sensor network to remotely control the growth state of crops, design an intelligent detection application of farmland information, and improve the efficiency of agricultural information management. Liu et al. [16] introduced the introduction of wireless sensor networks into medical care systems and proposed a wireless sensor network-based medical imaging system to dynamically track the pathological development of the patient, thereby ensuring timely diagnosis and treatment. ...
Against the background of the current COVID-19 pandemic and the popularisation of the Internet, the demand for online teaching is increasing in colleges and universities. But a course in music like piano teaching that requires multi-sensory learning still presents great challenges. Given this background, this paper analyses the system functional requirements of online piano teaching in colleges and universities, designs the overall system architecture including software and hardware, selects the wireless network communication method after analysis and judgement, and designs a remote wireless network-based system. Finally, the advantages and disadvantages of different protocol algorithms are compared.
... The improvement of infrastructure is conducive to the improvement of information occlusion and information asymmetry in rural areas and is a necessary preparation for the construction of agricultural informatization [46,47]. At present, Shandong Province has radio, television, mobile phone, broadband, and mobile Internet rapid development. ...
With the continuous development of the world economy, science, and technology, the era of intelligence and information is upon us. Through the implementation of the digital rural construction project in China, agriculture is developing rapidly in the direction of informatization. As a major agricultural province in China, Shandong Province has been ranked first in China for many years in terms of gross agricultural product and the import and export of agricultural products. According to the current situation of agricultural informatization in Shandong Province, this study uses relevant evaluation index data of Shandong Province from 2011 to 2019 and applies the entropy value method, coupling degree analysis model, and coupling coordination degree analysis model to deeply evaluate the mutual influence and coordination degree between the agricultural informatization level and agricultural economic development in Shandong province in each year. We identify the possible problems in the development of agricultural informatization in Shandong province. Finally, in terms of talent construction, infrastructure construction, the main role of government, policies, and farmers’ awareness of informatization, we propose some countermeasures and suggestions that are conducive to the coordinated development of agricultural informatization and the agricultural economy.
... The topic of smart agriculture is increasing, and sensor data collection devices developed through IoT technology are becoming more and more common. According to the previous work in [1][2][3][4][5], we believes that radio sensing devices should have the following characteristics to be used in open farmland, and propose improvement directions for individual characteristics. Modern agricultural intelligence is no longer just for agricultural machinery used in open farmland or greenhouse construction. ...
... At present, in smart agriculture, many studies [1,2] proposed the principle of using the Internet of Things (IoT) technology to monitor the growth environment of designated crops through sensing devices planted to farmland or greenhouses, so that can help farmers understand the current situation. However, the open farmland and greenhouse hydroponic cultivation methods are not the same; the installation of the sensing devices must be able to match different fields for selection. ...
... If a unified electrical interface can be used in the design, in addition to the convenience of software and hardware design, both manufacturing and maintenance work are easier. As can be seen in the paper of [1][2][3][4], the main design is on open farmland, while the content of [5] is mainly for indoor environments. The use of these designs on real farmland may be limited. ...
This paper introduces a radio sensing device that is easy to manufacture and maintain, easy to install and relocate, can store solar energy, resistant to typhoon and heavy rains, and has low power consumption. With the radio sensing devices constantly collecting information on environmental changes and sending data back to the backend system designated by the customer, our system can assist the farmers predicting the production period of crops in the area, which allow farmers to plan the different field operations. In this paper, we propose an unified sensor framework and compare our design with various hardware, software and mechanism of sensing devices in the literature. The height of our device is 275mm, the bottom circle radius is 63.3mm, the weight is less than 2kg, the minimum power consumption during radio transmission is only 0.58W, and the end point transmission distance can reach 16 kilometers. Our devices are highly integrated and low power, and have been commercialized and sold worldwide.
Communications and Computer Engineering Department, Faculty of Engineering, Al-Ahliyya Amman University, Amman 19328, Jordan
School of Information Technology, Skyline University, Sharjah, 1797, UAE
Smart Sensors are used for monitoring, sensing, and actuating controls in small and large-scale agricultural plots. From soil features to crop health and climatic observations, the smart sensors integrate with sophisticated technologies such as the Internet of Things or cloud for decentralized processing and global actuation. Considering this integration, an Amendable Multi-Function Sensor Control (AMFSC) is introduced in this proposal. This proposed method focuses on sensor operations that aid agricultural production improvements. The agriculture hindering features from the soil, temperature, and crop infections are sensed and response is actuated based on controlled operations. The control operations are performed according to the sensor control validation and modified control acute sensor, which helps to maximize productivity. The sensor control and operations are determined using federated learning from the accumulated data in the previous sensing intervals. This learning validates the current sensor data with the optimal data stored for different crops and environmental factors in the past. Depending on the computed, sensed, and optimal (adaptable) data, the sensor operation for actuation is modified. This modification is recommended for crop and agriculture development to maximize agricultural productivity. In particular, the sensing and actuation operations of the smart sensors for different intervals are modified to maximize production and adaptability. The efficiency of the system was evaluated using different parameters and the system maximizes the analysis rate (12.52%), control rate (7%), adaptability (9.65%) and minimizes the analysis time (7.12%), and actuation lag (8.97%)
