Performance evaluation of 6LoWPAN-based precision agriculture

Suryady, Zeldi; Shaharil, Mohd Hafiz Md; Bakar, Khairina Abu; Khoshdelniat, Reza; Sinniah, Gopinath Rao; Sarwar, Usman

doi:10.1109/icoin.2011.5723173

Cited by 14 publications

(4 citation statements)

References 4 publications

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“…In [11], a 6LoWPAN-enabled wireless sensor network was presented to monitor the soil properties of crops. The 6LoWPAN system architecture for precision agriculture application was discussed in [12] where the performance evaluation of this protocol was discussed with several baud rates and power constraints.…”

Section: Wireless Communication Technologiesmentioning

confidence: 99%

Precision Agriculture Techniques and Practices: From Considerations to Applications

Shafi

Mumtaz

García-Nieto

et al. 2019

Sensors

480

171

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Internet of Things (IoT)-based automation of agricultural events can change the agriculture sector from being static and manual to dynamic and smart, leading to enhanced production with reduced human efforts. Precision Agriculture (PA) along with Wireless Sensor Network (WSN) are the main drivers of automation in the agriculture domain. PA uses specific sensors and software to ensure that the crops receive exactly what they need to optimize productivity and sustainability. PA includes retrieving real data about the conditions of soil, crops and weather from the sensors deployed in the fields. High-resolution images of crops are obtained from satellite or air-borne platforms (manned or unmanned), which are further processed to extract information used to provide future decisions. In this paper, a review of near and remote sensor networks in the agriculture domain is presented along with several considerations and challenges. This survey includes wireless communication technologies, sensors, and wireless nodes used to assess the environmental behaviour, the platforms used to obtain spectral images of crops, the common vegetation indices used to analyse spectral images and applications of WSN in agriculture. As a proof of concept, we present a case study showing how WSN-based PA system can be implemented. We propose an IoT-based smart solution for crop health monitoring, which is comprised of two modules. The first module is a wireless sensor network-based system to monitor real-time crop health status. The second module uses a low altitude remote sensing platform to obtain multi-spectral imagery, which is further processed to classify healthy and unhealthy crops. We also highlight the results obtained using a case study and list the challenges and future directions based on our work.

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Section: Wireless Communication Technologiesmentioning

confidence: 99%

Precision Agriculture Techniques and Practices: From Considerations to Applications

Shafi

Mumtaz

García-Nieto

et al. 2019

Sensors

480

171

View full text Add to dashboard Cite

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“…It also manages the quality of the crop and current conditions for the crop growing which changes dynamically at certain time period. 22 The relational analysis has been done by using the technology called text mining to ensure the analyses in correlations of the text based on agriculture, resident situations, inclusion, and removal of crops. This type of relational analysis is the initial step to be done for a technology to adopt the agriculture production system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Many technologies had been deployed based on the convergence technology for the future agriculture which identifies the demand and supply of the crops early. It also manages the quality of the crop and current conditions for the crop growing which changes dynamically at certain time period 22 …”

Section: Literature Reviewmentioning

confidence: 99%

A novel methodology for the development of an optimal agricultural crop field using Internet of Things

Manikandan¹,

Prasanna

Ashwin³

et al. 2020

Computational Intelligence

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The Internet of Things (IoT) plays a vital role in the entity sharing and minimizing the workload of the human beings in various aspects. Nowadays the term IoT is used in various fields such as health care, automobiles, industry, agriculture, and so on. Agriculture is the main source of food to whole world. There are various problems faced by the farmers in agriculture due to shortage and wastage of water and fertilizers. In this regard, an optimal IoT model has been developed and proposed to attain an effective crop field. The proposed IoT model will monitor, record temperature, and soil moisture values, which will be continuously analyzed to achieve optimal plant growth and yield. The motor will be connected to the IoT model which automatically switch on/off based on optimal threshold temperature and soil moisture content value. A novel irrigation algorithm named differential waterflow algorithm has been proposed and deployed in the proposed IoT model for the automatic usage of the motor in the field. The proposed IoT model provides a web interface to the user through the cloud storage, so that the farmer can control and monitor the system in remote. The proposed system will reduce the water consumption and will ensure the uniform water distribution to the crops through the Poisson distribution which results in increasing yield.

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“…Indeed, the IPv6 header was compressed to just a few bytes through an adaptation layer between both the network and MAC layers still maintaining IPv6 functionality. Furthermore, the transmission of 1280 bytes IPv6 Maximum Transmission Unit (MTU) over IEEE 802.15.4 is also made possible using fragmentation and reassembly, provided by the aforementioned adaptation layer [1]. In addition to these already very popular standards, others such as BLE (Bluetooth Low Energy) and Radio-Frequency IDentification (RFID) enable short-range connections.…”

Section: Introductionmentioning

confidence: 99%

A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices

et al. 2021

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Spatial and temporal variability characterization in Precision Agriculture (PA) practices is often accomplished by proximity data gathering devices, which acquire data from a wide variety of sensors installed within the vicinity of crops. Proximity data acquisition usually depends on a hardware solution to which some sensors can be coupled, managed by a software that may (or may not) store, process and send acquired data to a back-end using some communication protocol. The sheer number of both proprietary and open hardware solutions, together with the diversity and characteristics of available sensors, is enough to deem the task of designing a data acquisition device complex. Factoring in the harsh operational context, the multiple DIY solutions presented by an active online community, available in-field power approaches and the different communication protocols, each proximity monitoring solution can be regarded as singular. Data acquisition devices should be increasingly flexible, not only by supporting a large number of heterogeneous sensors, but also by being able to resort to different communication protocols, depending on both the operational and functional contexts in which they are deployed. Furthermore, these small and unattended devices need to be sufficiently robust and cost-effective to allow greater in-field measurement granularity 365 days/year. This paper presents a low-cost, flexible and robust data acquisition device that can be deployed in different operational contexts, as it also supports three different communication technologies: IEEE 802.15.4/ZigBee, LoRa/LoRaWAN and GRPS. Software and hardware features, suitable for using heat pulse methods to measure sap flow, leaf wetness sensors and others are embedded. Its power consumption is of only 83 μA during sleep mode and the cost of the basic unit was kept below the EUR 100 limit. In-field continuous evaluation over the past three years prove that the proposed solution—SPWAS’21—is not only reliable but also represents a robust and low-cost data acquisition device capable of gathering different parameters of interest in PA practices.

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Performance evaluation of 6LoWPAN-based precision agriculture

Cited by 14 publications

References 4 publications

Precision Agriculture Techniques and Practices: From Considerations to Applications

Precision Agriculture Techniques and Practices: From Considerations to Applications

A novel methodology for the development of an optimal agricultural crop field using Internet of Things

A Versatile, Low-Power and Low-Cost IoT Device for Field Data Gathering in Precision Agriculture Practices

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