Senter for presisjonsjordbruk

Senter for presisjonsjordbruk ligger på NIBIO Apelsvoll ved Kapp i Østre Toten. Senteret ble etablert i 2016. Senterets formål er å bidra til et ressurseffektivt og bærekraftig jordbruk gjennom å gjøre vegen kortere fra ny teknologi utvikles til den kommer bonden til gode.

Utstyr i bruk ved Senter for presisjonsjordbruk
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Litt om presisjonsjordbruk

Hovedmålet med presisjonsjordbruk (PJ) er å optimere avlinger og kvalitet samtidig som en tar vare på naturmiljøet, slik at en oppnår både økonomiske og miljømessige fordeler.

Presisjonsjordbruk er en produksjonsstrategi som bygger på innsamling, bearbeiding og analyse av temporale, romlige og individspesifikke data. Denne informasjonen kombineres med annen kunnskap om produksjonssystemet for å styre tiltak etter den identifiserte variasjonen og oppnå bedre ressursutnyttelse, produktivitet, kvalitet, lønnsomhet og bærekraft. Presisjonsjordbruk handler altså om å bruke ny teknologi til å tilpasse behandlingen av jord og vekst etter behovet, som ofte varierer mye innenfor samme jordet.

Tradisjonelt behandles hele jordet likt ut fra det en mener er riktig i gjennomsnitt. Ved presisjonsjordbruk tilpasses for eksempel gjødselmengden, sprøytemengden og kalkmengden ut fra det stedsspesifikke behovet. Dette behovet kartlegges ved å sette sammen informasjon fra mange kilder, der ulike sensorer, kamera og globale navigasjonssystemer (GNSS) spiller en sentral rolle. Slikt utstyr kan monteres på for eksempel traktorer, roboter, droner eller satellitter.

Hva jobber vi med på senteret?

Vårt team av forskere og ingeniører ved Senter for presisjonsjordbruk arbeider med å utvikle ny teknologi og metodikk knyttet til fjernanalyse av planteegenskaper, automatisering av ulike agronomiske prosesser og formidling av data og metoder.

 

Vi forsker på vekster som korn, bær, eng og poteter og utvikler metoder for å ekstrahere informasjon om plantenes nitrogeninnhold, vannstatus og helsesituasjon. Videre utvikler vi modeller for å prognostisere avlinger og produktkvalitet relativt tidlig i vekstsesongen.

 

Vi utvikler og tester teknologiske løsninger både for dagens og framtidas presisjonsjordbruk. Vår FoU-aktivitet er konsentrert rundt temaene:

  • Presisjonsgjødsling
  • Presisjonsplantevern
  • Fjernmåling og spektroskopi
  • Digitale tjenester for smart landbruk
  • Maskinlæring og kunstig intelligens
  • Landbruksteknikk og automatisering

 

Vi samarbeider med både nasjonale og internasjonale aktører som sammen dekker et vidt spenn – fra sluttbrukere via sentrale markedsaktører i landbruket til teknologibedrifter. I tillegg har vi et utstrakt samarbeid med forskningsmiljøer over hele verden.

Droner i jordbruket Bruk av sensorer til jordbruksformål

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Forfattere

Erika Krüger Tomasz Leszek Woznicki Ola M. Heide Krzysztof Kusnierek Rodmar Isak Rivero Agnieszka Masny Iwona Sowik Bastienne Brauksiepe Klaus Eimert Daniela Mott Gianluca Savini Marino Demene Karine Guy Aurelie Petit Béatrice Denoyes Anita Sønsteby

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Trygve Utstumo Frode Urdal Anders Brevik Jarle Dørum Jan Netland Øyvind Overskeid Therese With Berge Jan Tommy Gravdahl

Sammendrag

© 2018. This is the authors’ accepted and refereed manuscript to the article. Locked until 7.9.2020 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

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JC. Streibig J. Rasmussen D. Andùjar C. Andreasen Therese With Berge D. Chachalis T. Dittmann Gerhard Gerhardsen T. M. Giselsson P. Hamouz C. Jaeger-Hansen K. Jensen R.N. Jørgensen M. Keller M. Laursen H.S Midtiby J. Nielsen S. Muller H. Nordmeyer G. Peteinatos A Papadopoulos J. Svensgaard M. Weis S. Christensen

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Forfattere

Stein Øvergaard Tomas Isaksson Knut Kvaal Audun Korsæth

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Forfattere

Audun Korsæth

Sammendrag

A 3.3 ha field experiment with tile-drained plots was established in 1988/89 at the Research Centre of the Arable Crops Division in central southeast Norway (60°42"N, 10°51"E, altitude 250 m). Six cropping systems, each with 2 replicates, are practiced on twelve 1.8 ha blocks, arranged in a randomised complete block design. During the first 10 years, the experiment provided data for many studies covering a wide range of topics. Some adjustments were made to the experimental treatments in 2000. The experiment now comprises three arable systems ("old-fashioned" and "modern" conventional arable cropping, and organic arable cropping with green manure as its only nutrient input) and three mixed dairy systems ("modern" conventional production of both arable and forage crops with 50% grass-clover ley, and organic production of both arable and forage crops with either 50 or 75% grass-clover ley in the rotation, all with farmyard manure). In this study, yields and N leaching/runoff losses are presented for the six agrohydrological years (May-April) 2001-2006. Results are discussed in relation to N use efficiency and sustainability of the systems.

Forfattere

Therese With Berge Haldor Fykse Are H. Aastveit

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A major obstacle to patch spraying of broad-leaved weeds in cereals is a cost-effective method to assess within-field heterogeneity of the weed population. One method could be a camera mounted in front of the spraying vehicle, online image analysis, and field sprayer shifting between "on" and "off" as the predefined weed damage threshold level is reached. Because such a camera will capture a very limited area (

Forfattere

Audun Korsæth Hugh Riley

Sammendrag

Spring barley was grown for four years (2001-2004) in field trials consisting of 20 replicate blocks at two sites on morainic soil in central SE Norway. Five N level treatments were used within each block: 0, 60, 90, 120 and 150 kg N ha-1. Regression analyses showed that a selection of soil properties could explain 55-96% of the spatial yield variation and 18-91% of the variation in yield response to N. A variable-rate strategy, accounting for variation between both years and replicate blocks (VRs+t), was compared with a strategy, which accounted for variation between years, and a uniform strategy, which did not account for any variation. The VRs+t strategy had the highest potential yield, apparent fertilizer recovery and net revenue (yield value minus N cost). Using the VRs+t strategy, even at sub-optimal N rates, would increase the profit of barley cropping as long as the increase in net revenue was at least 24 and 42% of the estimated potentials, respectively.

Forfattere

Audun Korsæth

Sammendrag

Apparent soil electrical conductivity (ECa) is a promising indicator for important soil physical and chemical properties. In this paper the method of measuring ECa to characterize within-field variability was tested on a clay soil in S Norway. A field survey was conducted with the Geonics EM38 on a 15 ha field, and 223 soil samples were taken. Most of the measured variables of the topsoil, except P-AL, total N and organic C, were significantly (p£0.05) correlated with ECa. Topsoil Mg-AL alone accounted for 75% of the variation in ECa. Subsoil pH and clay, silt and coarse sand contents were correlated with ECa. The clay content at both depths accounted for 63% of the variation in ECa. After grouping the data on the basis of measured ECa into classes with intervals of 2 mS/m, there were significant differences in soil properties (combinations of clay content, Mg-AL and K-HNO3) between 7 out of 9 classes.

Forfattere

Audun Korsæth

Sammendrag

Two hand-held spectro-radiometers were used to measure canopy reflectance from winter wheat and spring barley in two ongoing fertilizer experiments. Relations between measurements made in June and plant N content (June), above-ground biomass (June), yields and grain protein content (at harvest in August) were studied. For winter wheat, regression models predicted up to 55, 89, 88 and 28% of the variations in N-content, biomass, yields and protein content, respectively. For spring barley the corresponding predictions were 87, 96, 87 and 22%.

Forfattere

Audun Korsæth Hugh Riley

Sammendrag

.Precision agriculture (PA) may be defined as using the best available technologies to tailor soil and crop management to fit the specific conditions found within an agricultural field or tract (Johannsen, 2001). Knowledge about soil variation within fields is thus a prerequisite for optimum PA. The use of sensors which measure electrical conductivity (EC) has been introduced as a promising way of mapping within-field variation in soil properties. In this paper we present relationships found between EC and both clay content and ignition loss (SOM) of some morainic loam soils in SE Norway. Measurements of EC at Møystad (60°47"N, 11°10"E, altitude ca.150 m) correlated well with clay content. Despite the rather narrow range of clay content at Møystad (11-17%), EC measurements accounted for about 70% of the variation. The use of EM38 in the horizontal position gave the best prediction in the upper two layers, whereas measurements in the vertical position fitted best to data from the deepest layer (40-60 cm). This is reasonable, since the instrument has its deepest range in the vertical position. Ignition loss in the upper layer was 5-8% at Møystad. There was no significant relation between EC and ignition loss in the upper layer, when EC was measured with EM38 in the vertical position. When EC was measured horizontally, about 24% of the variation in ignition loss was reflected by the EC of the soil. One should, however, take into account that ignition loss and clay content were positively correlated with each other (r=0.382), so that the result may in fact have been due to variation in clay content. We also measured EC at Kise Research Station (60°46"N, 10°48"E, altitude ca.130 m), where we selected five points across a field with a particularly large gradient in ignition loss. Here EC correlated positively with clay content, but this was not statistically significant (R2=0.576, p=0.137). With ignition loss, however, EC showed a strong positive correlation (R2=0.878, p=0.019). Inclusion of both clay content and ignition loss in a two-predictor regression model, with EC as the dependent variable, showed that the conductivity measurements depended almost completely on clay content and ignition loss for the selected points at Kise (R2=0.981, p=0.019). However, the predictors were positively intercorrelated here as well (r=0.517), which may make the statistical approach questionable. We also admit that the number of data points was very low. Nevertheless, the results clearly illustrate the potential of EC measurements for mapping soil variation.

Forfattere

Audun Korsæth

Sammendrag

.Dense datasets are required to describe within field variation precisely. Sensor techniques appear to be promising to reduce labour, time and costs compared to traditional methods of sampling and analysis. Relationships found between soil apparent electrical conductivity (ECa) and available N, pH and soil moisture under spring barley on morainic loam in SE Norway are presented. Measurements were conducted in a 160 m long field trial, established in barley in 2002 at Kise Research Station (60°46"N, 10°48"E, 130 masl). The trial had 20 replicate blocks containing five N-level treatments (0, 60, 90, 120 and 150 kg N ha-1, given as calcium ammonium nitrate). Each plot was 1.5 x 8 m. Soil samples were taken from all five treatments in three selected blocks at 0-15 cm depth, shortly before fertilizing/sowing (10.05.02) and then at two week intervals until the beginning of July (23.05, 06.06, 20.06 and 04.07). Analyses comprised nitrate-N, ammonium-N, pH and water content. At each sampling, ECa was measured in the same plots, using a magnetic dipole soil conductivity meter (EM38, Geonics Ltd., Canada). The device was operated manually in both horizontal (EMh) and vertical (EMv) modes. Linear regressions showed that both EMh and EMv correlated well with the measured variables. All the relations were significant (p

Forfattere

Hugh Riley Audun Korsæth

Sammendrag

Two trials have been established to study within-field variation in responses to N fertilizer. Preliminary results showed a close relation between soil organic matter and the amount of mineralised N in soil in spring. Both trials displayed considerable variation in responses to N fertilizer, even thought the yields increased up to the highest N level used. On the basis of responses in individual replicates, it was estimated that varying fertilizer levels across the field would have been positive in one of the trials. The studies will be continued to find out whether the pattern of variation remains the same, and to study the role of various soil factors.

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Prosjekter

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