Wireless sensor network coverage measurement and planning in mixed crop farming
Title Wireless sensor network coverage measurement and planning in mixed crop farmingTitle (native language)
Category Recording or mapping technology
Short summary forpractitioners (Practiceabstract) in English)
Wireless sensor network technology holds great promise for application in agriculture to improve cropyield, improve quality, and reduce costs. This paper presents wireless sensor network coveragemeasurements in a mixed crop farmland. As one of its key contributions, this study shows that generalvegetation attenuation models do not apply to low power wireless sensor networks. A log-linear modelis proposed in this paper and validated for application in mixed crop environment. Unlike in mono-cropenvironment, this study shows that the network coverage is heterogeneous with asymmetric channelbetween communicating node pair. Crop specific parameters of the log-linear model are derived andused to simulate network coverage in a 7 acre test-bed farm. An adaptive energy consumption modelfor each sensor node is proposed and used to compute energy consumption in the network. A clusterhead and two antenna heights deployment model is also proposed and simulated to alleviate shortnetwork lifetime due to vegetation attenuation of signals. The results show that this networkdeployment model extends the lifetime of the network by a factor of more than 20 compare to adeployment where cluster heads are not used.
Short summary forpractitionersWebsiteAudiovisual materialLinks to other websitesAdditional commentsKeywords Farming equipment and machinery | Energy managementAdditional keywords Wireless sensor network; Energy-consumption; ZigBee; Asymmetric channel; RSSIGeographical location(NUTS) EU
Other geographicallocation Global
Cropping systemsField operations Crop and soil scoutingSFT users Farmer | Contractor
Education level of users Primary education | Secondary education | Apprenticeship or technical school education | Universityeducation
Farm size (ha) 0-2 | 2-10 | 10-50 | 50-100 | 100-200 | 200-500 | >500
Scientific articleTitle Wireless sensor network coverage measurement and planning in mixed crop farming
Full citation Ndzi, D.L.; Harun, A.; Ramli, F.M.; Kamarudin, M.L.; Zakaria, A.; Shakaff, A.Y.M.; Jaafar, M.N.; Zhou, S.;Farook, R.S. (2014). Computers and Electronics in Agriculture, DOI:10.1016/j.compag.2014.04.012
Effects of this SFTProductivity (crop yield per ha) Some increaseQuality of product No effectRevenue profit farm income Some increaseSoil biodiversity No effectBiodiversity (other than soil) No effectInput costs No effectVariable costs No effectPost-harvest crop wastage No effectEnergy use Some decreaseCH4 (methane) emission No effectCO2 (carbon dioxide) emission No effectN2O (nitrous oxide) emission No effectNH3 (ammonia) emission No effectNO3 (nitrate) leaching No effectFertilizer use No effectPesticide use No effectIrrigation water use No effectLabor time No effectStress or fatigue for farmer No effectAmount of heavy physical labour No effectNumber and/or severity of personal injury accidents No effectNumber and/or severity of accidents resulting in spills property damage incorrectapplication of fertiliser/pesticides etc. No effect
Pesticide residue on product No effectWeed pressure No effectPest pressure (insects etc.) No effectDisease pressure (bacterial fungal viral etc.) No effect
Information related to how easy it is to start using the SFTThis SFT replaces a tool or technology that is currently used. The SFT is better than thecurrent tool agree
The SFT can be used without making major changes to the existing system no opinionThe SFT does not require significant learning before the farmer can use it disagreeThe SFT can be used in other useful ways than intended by the inventor agreeThe SFT has effects that can be directly observed by the farmer disagreeUsing the SFT requires a large time investment by farmer no opinionThe SFT produces information that can be interpreted directly disagree
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This factsheet was generated on 2018-Apr-03 11:57:17.