On-the-go Phenotyping in Field Potatoes · tested in farmers’ potato fields regarding the...
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On-the-go Phenotyping in Field Potatoes Title On-the-go Phenotyping in Field Potatoes Title (native language) Category Recording or mapping technology Short summary for practitioners (Practice abstract) in English) A camera sensor for detecting crop parameters, with the aim of implementing precision plant protection, has been developed at the Leibniz Institute for Agricultural Engineering. This sensor was tested in farmers’ potato fields regarding the phenotyping and monitoring of crop growth. Field trials were conducted in 2007, 2011 and 2012 to quantify the relationship between the sensor measurements of the coverage level by the green stem and leaf parts and two plant parameters: the fresh mass of the tops and the leaf area index. Within the fields, sampling points were chosen based on differences in crop development. At different dates, the sensor values (coverage level) and the two plant parameters were determined. Because of the shape of the obtained scatterplots between the two plant parameters and the coverage level, a linear regression model with a plateau was adapted. An on-the-go (on-line, real-time) technology for measuring the percentage of green coverage was tested to monitor the development of the potato crop during the growth period. The sensor was positioned on the left side of the tractor to scan the crop stand along transects. The coverage level was measured and recorded together with the geographical position using a data processing system. Areas showing different plant growth could be determined, as could differences in the temporal development of the crop in the various sections of the transect. Short summary for practitioners Website Audiovisual material Links to other websites Additional comments Keywords Farming equipment and machinery | Plant production and horticulture Additional keywords Field potatoes; Green coverage level; Leaf area index; Machine vision; Potato tops mass Geographical location (NUTS) EU Other geographical location Cropping systems Open field vegetables Field operations Crop and soil scouting SFT users Farmer | Contractor Education level of users All
Transcript of On-the-go Phenotyping in Field Potatoes · tested in farmers’ potato fields regarding the...
On-the-go Phenotyping in Field Potatoes
Title On-the-go Phenotyping in Field PotatoesTitle (native language)
Category Recording or mapping technology
Short summary forpractitioners (Practiceabstract) in English)
A camera sensor for detecting crop parameters, with the aim of implementing precision plantprotection, has been developed at the Leibniz Institute for Agricultural Engineering. This sensor wastested in farmers’ potato fields regarding the phenotyping and monitoring of crop growth. Field trialswere conducted in 2007, 2011 and 2012 to quantify the relationship between the sensormeasurements of the coverage level by the green stem and leaf parts and two plant parameters: thefresh mass of the tops and the leaf area index. Within the fields, sampling points were chosen basedon differences in crop development. At different dates, the sensor values (coverage level) and the twoplant parameters were determined. Because of the shape of the obtained scatterplots between thetwo plant parameters and the coverage level, a linear regression model with a plateau was adapted.An on-the-go (on-line, real-time) technology for measuring the percentage of green coverage wastested to monitor the development of the potato crop during the growth period. The sensor waspositioned on the left side of the tractor to scan the crop stand along transects. The coverage level wasmeasured and recorded together with the geographical position using a data processing system.Areas showing different plant growth could be determined, as could differences in the temporaldevelopment of the crop in the various sections of the transect.
Short summary forpractitionersWebsiteAudiovisual materialLinks to other websitesAdditional commentsKeywords Farming equipment and machinery | Plant production and horticultureAdditional keywords Field potatoes; Green coverage level; Leaf area index; Machine vision; Potato tops massGeographical location(NUTS) EU
Other geographicallocationCropping systems Open field vegetablesField operations Crop and soil scoutingSFT users Farmer | ContractorEducation level of users All
Farm size (ha) 0-2 | 2-10 | 10-50 | 50-100 | 100-200 | 200-500 | >500
Scientific articleTitle On-the-go Phenotyping in Field Potatoes Using Camera VisionFull citation Dammer, K.-H.; Dworak, V.; Selbeck, J. (2016). Potato Research, DOI:10.1007/s11540-016-9315-y
Effects of this SFTProductivity (crop yield per ha) No effectQuality 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 Some decreaseAmount 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 agreeThe SFT does not require significant learning before the farmer can use it agreeThe 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 no opinionUsing the SFT requires a large time investment by farmer no opinionThe SFT produces information that can be interpreted directly agree
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This factsheet was generated on 2018-Apr-03 11:57:16.
