Environmental parameters monitoring in precision agriculture using wireless sensor networks

Srbinovska, Mare; Gavrovski, Cvetan; Dimčev, Vladimir; Krkoleva, Aleksandra; Borozan, V.

doi:10.1016/j.jclepro.2014.04.036

Cited by 401 publications

(179 citation statements)

References 13 publications

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“…Additionally, measurements have illustrated that with communication protocols can increase the overall battery lifetime of the sensors (Srbinovska et al, 2015). Thus this paper discusses a way to enhance the inspection procedures made by quadrotors in precision agriculture.…”

Section: Swarm Robotics In Quadrotors For Crop Inspectionsmentioning

confidence: 99%

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Carbone

Garibaldi

Kurt

2018

KEG

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This paper summarizes the concept of swarm robotics and its applicability to crop inspections. To increase the agricultural yield it is essential to monitor the crop health.Hence, precision agriculture is becoming a common practice for farmers providing a system that can inspect the state of the plants ( Khosla and others, 2010). One of the rising technologies used for agricultural inspections is the use of unmaned air vehicles (UAVs) which are used to take aerial pictures of the farms so that the images could be processed to extract data about the state of the crops (Das et al., 2015). For this process both fixed wings and quadrotors UAVs are used with a preference over the quadrotor since it's easier to operate and has a milder learning curve compared to fixed wings (Kolodny, 2017). UAVs require battery replacement especially when the environmental conditions result in longer inspection times ("Agriculture -Maximize Yields with Aerial Imaging," n.d., "Matrice 100 -DJI Wiki," n.d.). As a result, inspection systems for crops using commercial quadrotors are limited by the quadrotor´s maximum flight speed, maximum flight height, quadrotor´s battery time, crops area, wind conditions, etc.("Mission Estimates," n.d.).

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Section: Swarm Robotics In Quadrotors For Crop Inspectionsmentioning

confidence: 99%

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Carbone

Garibaldi

Kurt

2018

KEG

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“…Precision agriculture is a wealthy field of application for automated monitoring as it has been highlighted by both Srbinova et al [19] and Keshtgary and Delijoo [20] which have both developed WSN systems for improved quality in farming. They both followed the common WSN schema of nodes and base stations while showcasing efficient processes of gathering and distributing environmental parameters.…”

Section: Related Workmentioning

confidence: 99%

A Social Environmental Sensor Network Integrated within a Web GIS Platform

Voutos

Mylonas

Spyrou

et al. 2017

JSAN

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Abstract:We live in an era where typical measures towards the mitigation of environmental degradation follow the identification and recording of natural parameters closely associated with it. In addition, current scientific knowledge on the one hand may be applied to minimize the environmental impact of anthropogenic activities, whereas informatics on the other, playing a key role in this ecosystem, do offer new ways of implementing complex scientific processes regarding the collection, aggregation and analysis of data concerning environmental parameters. Furthermore, another related aspect to consider is the fact that almost all relevant data recordings are influenced by their given spatial characteristics. Taking all aforementioned inputs into account, managing such a great amount of complex and remote data requires specific digital structures; these structures are typically deployed over the Web on an attempt to capitalize existing open software platforms and modern developments of hardware technology. In this paper we present an effort to provide a technical solution based on sensing devices that are based on the well-known Arduino platform and operate continuously for gathering and transmitting of environmental state information. Controls, user interface and extensions of the proposed project rely on the Android mobile device platform (both from the software and hardware side). Finally, a crucial novel aspect of our work is the fact that all herein gathered data carry spatial information, which is rather fundamental for the successful correlation between pollutants and their place of origin. The latter is implemented by an interactive Web GIS platform operating oversight in situ and on a timeline basis.

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“…WSN can detect and monitor spatial and temporal parameters for decision making in agricultural farm management [107][108][109], thereby increasing efficiency and productivity while minimizing undesirable impacts on environment [110]. WSN devices are mainly powered by either batteries or solar energy [111].…”

Section: Bes For Agricultural Monitoringmentioning

confidence: 99%

Development of Bioelectrochemical Systems to Promote Sustainable Agriculture

Abu-Reesh

2015

Agriculture

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Bioelectrochemical systems (BES) are a newly emerged technology for energy-efficient water and wastewater treatment. Much effort as well as significant progress has been made in advancing this technology towards practical applications treating various types of waste. However, BES application for agriculture has not been well explored. Herein, studies of BES related to agriculture are reviewed and the potential applications of BES for promoting sustainable agriculture are discussed. BES may be applied to treat the waste/wastewater from agricultural production, minimizing contaminants, producing bioenergy, and recovering useful nutrients. BES can also be used to supply irrigation water via desalinating brackish water or producing reclaimed water from wastewater. The energy generated in BES can be used as a power source for wireless sensors monitoring the key parameters for agricultural activities. The importance of BES to sustainable agriculture should be recognized, and future development of this technology should identify proper application niches with technological advancement.

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Environmental parameters monitoring in precision agriculture using wireless sensor networks

Cited by 401 publications

References 13 publications

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

Swarm Robotics as a Solution to Crops Inspection for Precision Agriculture

A Social Environmental Sensor Network Integrated within a Web GIS Platform

Development of Bioelectrochemical Systems to Promote Sustainable Agriculture

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