A Flexible and Reliable Wireless Sensor Network Architecture for Precision Agriculture in a Tomato Greenhouse

Ramdoo, Vimla Devi; Khedo, Kavi Kumar; Bhoyroo, Vishwakalyan

doi:10.1007/978-981-13-3338-5_12

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…At last, WSN design challenges and future research for precision agriculture are recognized. Pandiyaraju et al [14] presented a new intelligent routing protocol to improve the network lifetime and provide energy efficiency in the routing process that provides data to the irrigation system. This novel intelligent energy-efficient routing protocol uses fuzzy rules, and the protocol is called Terrain-based Routing using Fuzzy rules for precision agriculture.…”

Section: Literature Reviewmentioning

confidence: 99%

Automated Irrigation System Using Improved Fuzzy Neural Network in Wireless Sensor Networks

Sakthivel¹,

Vivekanandhan²,

Manikandan³

2023

Intelligent Automation &Amp; Soft Computing

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Irrigation plays a significant role in various agricultural cropping methods deployed in semiarid and arid regions where valuable water applications and managing are considered crucial concerns. Multiple factors such as weather, soil, water, and crop data need to be considered for irrigation maintenance in an efficient besides uniform manner from multifaceted and different information-based systems. A Multi-Agent System (MAS) has been proposed recently based on diverse agent subsystems with definite objectives for attaining global MAS objective and is deployed on Cloud Computing paradigm capable of gathering information from Wireless Sensor Networks (WSNs) positioned in rice, cotton, cassava crops for knowledge discovery and decision making. The radial basis function network has been used for irrigation prediction. However, in recent work, the security of data has not focused on where intruder involvement might corrupt the data at the time of data transferring to the cloud, which would affect the accuracy of decision making. To handle the above mentioned issues, an efficient method for irrigation prediction is used in this work. The factors considered for decision making are soil moisture, temperature, plant height, root depth. The above-mentioned data will be gathered from the sensors that are attached to the crop field. Sensed data will be forwarded to the local server, where data encryption will be performed using Adaptive Elliptic Curve Cryptography (AECC). After the encryption process, the data will be forwarded to the cloud. Then the data stored in the cloud will be decrypted key before being given to the decision-making module. Finally, the uniform distribution-based fuzzy neural network is formulated based on the received data information in the decision-making module. The final decision regarding the level of water required for crop fields would be taken. Based on this outcome, the water volve opening duration and the level of fertilizers required will be considered. Experimental results demonstrate the effectiveness of the proposed model for the United States Geological Survey (USGS) database in terms of precision, accuracy, recall, and packet delivery ratio.

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Section: Literature Reviewmentioning

confidence: 99%

Automated Irrigation System Using Improved Fuzzy Neural Network in Wireless Sensor Networks

Sakthivel¹,

Vivekanandhan²,

Manikandan³

2023

Intelligent Automation &Amp; Soft Computing

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“…Authors highlight the problems in precision agriculture and provide the solutions of those problems, while identifying the factors for upgrading and potential guidelines of work using the new age technologies [18].This paper impacts the new techniques in the field of agriculture [19], which is satellite based precision farming techniques, which makes a new generation of agricultural practices than traditional or manual farming techniques. The limitations and borders of WSNs in the agricultural field are briefly explained and management techniques for long-term monitoring are tinted [20]. The main aim of [21] is to sense the data and parameter control based on Things Cloud.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Stepping into [20] precision agriculture, Initially Soil Moister sensor is used to measure the moisture content for obtaining the values with accuracy. It overcomes the overburden work of manual recordings and soil testing meters, the steps for soil moisture are: Algorithm:…”

Section: Observation:mentioning

confidence: 99%

Recommender System for Nutrient Management Based on Precision Agriculture

Yogeswari,

Padmapriya

2019

IJRTE

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Agriculture is the heart of our nation and society. It is influenced by several factors and parameters such as uneven monsoon, changing climate as well as weather circumstances, rainfall and nutrient facts during the harvest. Agriculture is primarily crucial and also the main source of our livelihood. But, owed to the scarceness of nutrients in plants, the human is strained to handle many dare in everyday life. The restoration of the nutrient is essential, in this view there is need to adopt precision agriculture system which change crop related plans and regulations, whereas nutrient management is a major domain that is needed to be spotlight in the field of farming techniques. The main aim of this research is to create an idea of developing a precision based recommender system for nutrient management and the main scope of this paper to describe the initial phase of the research. The experimental study of this research work is conducted using a terrace garden. The nutrient management with respect to the horticulture crop tomato is considered as the objective. The samples are grouped as two sets namely A and B representing samples without using natural fertilizers/manures and with natural fertilizers/manures. The growth parameters are analyzed and the results are presented. The data collection phase using sensors and Arduino kit is described here. The impact of pests and the remedy taken during the period of growth is recorded. The advices from the experts given in the soil tests are considered for preparing this nutrient management system.

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“…WSNs have the characteristics of convenient deployment, low cost, and high precision, which make them suitable for agricultural information monitoring and transmission [13,14]. Over the last few years, sensors and WSNs have emerged at an extraordinary rate [15][16][17]. A key reason for this is the ability of WSNs to perform real-time data monitoring and reporting.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Mechanism for Fault Tolerance in Agricultural Wireless Sensor Networks

Smara,

Pathan

2024

Network

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Fault tolerance is a critical aspect for any wireless sensor network (WSN), which can be defined in plain terms as the quality of being dependable or performing consistently well. In other words, it may be described as the effectiveness of fault tolerance in the event of crucial component failures in the network. As a WSN is composed of sensors with constrained energy resources, network disconnections and faults may occur because of a power failure or exhaustion of the battery. When such a network is used for precision agriculture, which needs periodic and timely readings from the agricultural field, necessary measures are needed to handle the effects of such faults in the network. As climate change is affecting many parts of the globe, WSN-based precision agriculture could provide timely and early warnings to the farmers about unpredictable weather events and they could take the necessary measures to save their crops or to lessen the potential damage. Considering this as a critical application area, in this paper, we propose a fault-tolerant scheme for WSNs deployed for precision agriculture. Along with the description of our mechanism, we provide a theoretical operational model, simulation, analysis, and a formal verification using the UPPAAL model checker.

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A Flexible and Reliable Wireless Sensor Network Architecture for Precision Agriculture in a Tomato Greenhouse

Cited by 4 publications

References 12 publications

Automated Irrigation System Using Improved Fuzzy Neural Network in Wireless Sensor Networks

Automated Irrigation System Using Improved Fuzzy Neural Network in Wireless Sensor Networks

Recommender System for Nutrient Management Based on Precision Agriculture

An Enhanced Mechanism for Fault Tolerance in Agricultural Wireless Sensor Networks

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