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aerial sensor platform (ASP) to collect multispectral data Title aerial sensor platform (ASP) to collect multispectral data Title (native language) Category Recording or mapping technology Short summary for practitioners (Practice abstract) in English) The aerial sensor platform (ASP) in this paper was developed as a remote-controlled unmanned aircraft system (UAS). The UAS is based on the E-Trainer 182 (Graupner GmbH & Co. KG, Kirchheim, Germany), and was adapted for autonomous flights and sampling of multispectral data. The E-Trainer was equipped with the miniature autopilot MP2028g (MicroPilot, Inc., Stony Mountain, Manitoba, Canada). The autopilot system MP2028g provided Global Positioning System (GPS) based waypoint navigation with altitude and airspeed hold based on three-axis accelerometers, pressure altimeter and pressure airspeed sensors. Short summary for practitioners Website Audiovisual material Links to other websites Additional comments Keywords Agricultural production systems | Farming practice Additional keywords Spectrometer; UAV (unmanned aerial vehicle); UAS (unmanned aircraft system) Geographical location (NUTS) EU Other geographical location Cropping systems Arable crops | Tree crops | Open field vegetables | Vineyards | Grassland Field operations SFT users Farmer | Contractor Education level of users Apprenticeship or technical school education Farm size (ha) 50-100 Scientific article Title Developing and evaluating an aerial sensor platform (ASP) to collect multispectral data for deriving management decisions in precision farming

aerial sensor platform (ASP) to collect multispectral data · aircraft system (UAS). The UAS is based on the E-Trainer 182 (Graupner GmbH & Co. KG, Kirchheim, The UAS is based on

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Page 1: aerial sensor platform (ASP) to collect multispectral data · aircraft system (UAS). The UAS is based on the E-Trainer 182 (Graupner GmbH & Co. KG, Kirchheim, The UAS is based on

aerial sensor platform (ASP) to collect multispectral data

Title aerial sensor platform (ASP) to collect multispectral dataTitle (native language)

Category Recording or mapping technology

Short summary forpractitioners (Practiceabstract) in English)

The aerial sensor platform (ASP) in this paper was developed as a remote-controlled unmannedaircraft system (UAS). The UAS is based on the E-Trainer 182 (Graupner GmbH & Co. KG, Kirchheim,Germany), and was adapted for autonomous flights and sampling of multispectral data. The E-Trainerwas equipped with the miniature autopilot MP2028g (MicroPilot, Inc., Stony Mountain, Manitoba,Canada). The autopilot system MP2028g provided Global Positioning System (GPS) based waypointnavigation with altitude and airspeed hold based on three-axis accelerometers, pressure altimeterand pressure airspeed sensors.

Short summary forpractitionersWebsiteAudiovisual materialLinks to other websitesAdditional commentsKeywords Agricultural production systems | Farming practiceAdditional keywords Spectrometer; UAV (unmanned aerial vehicle); UAS (unmanned aircraft system)Geographical location(NUTS) EU

Other geographicallocationCropping systems Arable crops | Tree crops | Open field vegetables | Vineyards | GrasslandField operationsSFT users Farmer | ContractorEducation level of users Apprenticeship or technical school educationFarm size (ha) 50-100

Scientific article

Title Developing and evaluating an aerial sensor platform (ASP) to collect multispectral data for derivingmanagement decisions in precision farming

Page 2: aerial sensor platform (ASP) to collect multispectral data · aircraft system (UAS). The UAS is based on the E-Trainer 182 (Graupner GmbH & Co. KG, Kirchheim, The UAS is based on

Full citation Link, J.; Senner, D.; Claupein, W. (2013). Computers and Electronics in Agriculture,DOI:10.1016/j.compag.2013.03.003

Effects of this SFTProductivity (crop yield per ha) No effectQuality of product No effectRevenue profit farm income No effectSoil biodiversity No effectBiodiversity (other than soil) No effectInput costs No effectVariable costs No effectPost-harvest crop wastage No effectEnergy use No effectCH4 (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 no opinion

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 no opinionThe SFT can be used in other useful ways than intended by the inventor no opinionThe SFT has effects that can be directly observed by the farmer disagreeUsing the SFT requires a large time investment by farmer agreeThe SFT produces information that can be interpreted directly disagree

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This factsheet was generated on 2018-Apr-03 11:57:19.