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We highly prioritize scientific and popular science publications to share our research results and conclusions with the agricultural community. We focus on international peer-reviewed high quality journals as well as national journals and popular agricultural magazines. Moreover, we present frequently at international and national conferences, seminars and workshops and contribute with conference papers and posters. In addition to that, we host field days and give practical demonstrations at the center.

International publications

Peer-reviewed journal articles

Harik, E. H. C. Tractor-Robot Cooperation: A Heterogeneous Leader-Follower Approach. Robotics 2023, 12, 57 doi:10.3390/robotics12020057

Zhao, J.; Kaga, A.; Yamada, T.; Komatsu, K.; Hirata, K.; Kikuchi, A.; Hirafuji, M.; Ninomiya, S.; Guo, W.;  Improved Field-Based Soybean Seed Counting and Localization with Feature Level Considered. Plant Phenomics, 2023. 5. doi:10.34133/plantphenomics.0026 

Zhao, J.; Kumar, A; Banoth, B. N.; Marathi, B.; Rajalakshmi, P.; Rewald, B; Ninomiya, S.; Guo, W. Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image—Enhancing UAV-Based Phenotyping. Remote Sensing 2022, 14, 1272. dio10.3390/rs14051272

Aurdal, S. M.; Woznicki, T. L.; Haraldsen, T. K.; Kusnierek, K.; Sønsteby, A.; Remberg, S. F. Wood Fiber-Based Growing Media for Strawberry Cultivation: Effects of Incorporation of Peat and Compost. Horticulturae 2022, 9, 36. doi:10.3390/horticulturae9010036

Zhao, J.; Qu, Y.; Ninomiya, S.; Guo, W. Endmember-Assisted Camera Response Function Learning, Toward Improving Hyperspectral Image Super-Resolution Performance. IEEE Transactions on Geoscience and Remote Sensing, 60,1-14, 2022. doi:10.1109/TGRS.2022.3182425

Dong, R.; Miao, Y.; Wang, X.; Yuan, F.; Kusnierek, K. Combining leaf fluorescence and active canopy reflectance sensing technologies to diagnose maize nitrogen status across growth stages. Precision Agric 23, 939–960 (2022). doi: 10.1007/s11119-021-09869-w

Lu, J.; Wang, H.; Miao, Y; Zhao, L; Zhao, G.; Cao, Q.; Kusnierek, K.; Developing an Active Canopy Sensor-Based Integrated Precision Rice Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance. Remote Sensing 2022, 14, 2440. doi:10.3390/rs14102440

Krüger, E.; Woznicki, T. L.; Heide O. M.; Kusnierek, K.; Rivero, R.; Masny, A.; Sowik, I.; Brauksiepe, B.; Eimert, K.; Mott, D.; Savini, G.; Demene, M.; Guy, K.; Petit, A.; Denoyes, B.; Sønsteby, A:. Flowering Phenology of Six Seasonal-Flowering Strawberry Cultivars in a Coordinated European Study. Horticulturae 2022, 8, 933. doi:10.3390/horticulturae8100933

Żelazny, W. R.; Kusnierek, K.; Geipel, J.; Gaussian Process Modeling of In-Season Physiological Parameters of Spring Wheat Based on Airborne Imagery from Two Hyperspectral Cameras and Apparent Soil Electrical Conductivity. Remote Sensing 2022, 14, 5977. doi:10.3390/rs14235977

Lu, J.; Dai, E.; Miao, Y.; Kusnierek, K.; Improving active canopy sensor-based in-season rice nitrogen status diagnosis and recommendation using multi-source data fusion with machine learning. Journal of Cleaner Production, 380, 1, 2022. doi:10.1016/j.jclepro.2022.134926

Kusnierek, K.; Korsaeth, A.; 44. Estimating water status of wheat canopy using spectral reflectance in the 400-900 nm range. Precision agriculture ’21, 371-378, 2021. doi:10.3920/978-90-8686-916-9_44

Kusnierek, K.; Thomsen, M.; Sønsteby, A.; Woznicki, T.; Basil (Ocimum basilicum L.) growth response to wood fiber based growing media in ebb-and-flow system as a function of the electrical conductivity of nutrient solution and pot size. Acta Hortic, 1317, 133-140.

Dong, R.; Miao, Y.; Wang, X.; Yuan, F.; Kusnierek, K.; Canopy Fluorescence Sensing for In-Season Maize Nitrogen Status Diagnosis. Remote Sensing 2021, 13, 5141. doi:10.3390/rs13245141

Wang, X.; Miao, Y.; Batchelor, W. D.; Dong, R.; Kusnierek, K.; Evaluating model-based strategies for in-season nitrogen management of maize using weather data fusion. Agricultural and Forest Meteorology 2021, 308-309. doi:10.1016/j.agrformet.2021.108564

Woznicki, T.; Kusnierek, K.; Roos, U. M.; Andersen, S.; Zimmer, K.; Sønsteby, A.; Exploration of alternative growing media in strawberry production with focus on wood fiber from Norway spruce. Acta Hortic, 1305, 15-22.

Woznicki, T.; Møllerhagen, P. J.; Heltoft, P.; Kusnierek, K.; Growing Potatoes (Solanum tuberosum L.) Hydroponically in Wood Fiber—A Preliminary Case-Study Report. Agronomy 2021, 11, 1369. doi:10.3390/agronomy11071369

Harik, E. H. C.; Design and Implementation of an Autonomous Charging Station for Agricultural Electrical Vehicles. Applied Sciences 2021, 11, 6168. doi:10.3390/app11136168

Woznicki, T.; Kusnierek, K.; Sønsteby, A.; Performance of wood fibre as a substrate in hydroponic strawberry production under different fertigation strategies. Acta Hortic, 1309, 289-296.

Wang, X.; Miao, Y.; Dong, R.; Zha, H.; Xia, T.; Chen, Z.; Kusnierek, K.; Mi, G.; Sun, H.; Li, M.; Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn. European Journal of Agronomy, 123, 2021. doi:10.1016/j.eja.2020.126193

Geipel, J., Bakken, A. K., Jørgensen, M., Korsaeth, A. Forage yield and quality estimation by means of UAV and hyperspectral imaging. Precision Agriculture 2021, 22. doi:10.1007/s11119-021-09790-2.

Lu, J.; Miao, Y.; Shi, W.; Li, J.; Hu, X.; Chen, Z.; Wang, X.; Kusnierek, K.; Developing a Proximal Active Canopy Sensor-based Precision Nitrogen Management Strategy for High-Yielding Rice. Remote Sensing 2020, 12, 1440. doi:10.3390/rs12091440

Zhao, J.; Kechasov, D.; Rewald, B.; Bodner, G.; Verheul, M.; Clarke, N.; Clarke, J. L.; Deep Learning in Hyperspectral Image Reconstruction from Single RGB images—A Case Study on Tomato Quality Parameters. Remote Sensing. 2020,12(19). doi:10.3390/rs1293258

Wang, X.; Miao, Y.; Dong, R.; Chen, Z.; Kusnierek, K.; Mi, G.; Mulla, D.J. Economic Optimal Nitrogen Rate Variability of Maize in Response to Soil and Weather Conditions: Implications for Site-Specific Nitrogen Management. Agronomy 2020, 10, 1237.

Zha, H.; Miao, Y.; Wang, T.; Li, Y.; Zhang, J.; Sun, W.; Feng, Z.; Kusnierek, K. Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning. Remote Sens. 2020, 12, 215.

Wang, X.; Miao, Y.; Dong, R.; Zha, H.; Xia, T.; Chen, Z.; Kusnierek, K.; Mi, G.; Sun, H.; Li, M. Machine Learning-Based in-Season Nitrogen Status Diagnosis and Side-Dress Nitrogen Recommendation for Corn. Eur. J. Agron. 2021, 123 (November 2020), 126193

Chen, Z.; Miao, Y.; Lu, J.; Zhou, L.; Li, Y.; Zhang, H.; Lou, W.; Zhang, Z.; Kusnierek, K.; Liu, C. In-Season Diagnosis of Winter Wheat Nitrogen Status in Smallholder Farmer Fields Across a Village Using Unmanned Aerial Vehicle-Based Remote Sensing. Agronomy 2019, 9, 619.

Harik, E.H.C.; Korsaeth, A. The Heading Weight Function: A Novel LiDAR-Based Local Planner for Nonholonomic Mobile Robots. Sensors 2019, 19, 16. doi:10.3390/s19163606

Utstumo, T., Dørum, J., Netland, J., Urdal, F., Overskeid, Ø., Brevik, A., Berge, T. W., Gravdahl, J.T. (2018). Robotic in-row weed control in vegetables. Computers and Electronics in Agriculture 154: 36-45. doi: 10.1016/j.compag.2018.08.043

Harik, E.H.C.; Korsaeth, A. Combining Hector SLAM and Artificial Potential Field for Autonomous Navigation Inside a Greenhouse. Robotics 2018, 7, 22. doi:10.3390/robotics702002

Tejada, V. F., Stoelen, M. F., Kusnierek, K., Heiberg, N. and Korsaeth, A. (2017). Proof-of-concept robot platform for exploring automated harvesting of sugar snap peas. Precision Agriculture 18(6), 952-972, doi:10.1007/s11119-017-9538-1

Harik, E. H. C., Guérin, F., Guinand, F., Brethé, J. F. and Pelvillain, H. (2017). Fuzzy logic controller for predictive vision-based target tracking with an unmanned aerial vehicle. Advanced Robotics 31(7), 368-381. doi: 10.1080/01691864.2016.1271500

Geipel, J., Link, J., Wirwahn, J. A., and Claupein, W. (2016). A Programmable Aerial Multispectral Camera System for In-Season Crop Biomass and Nitrogen Content Estimation. Agriculture 6(1), 4. doi:10.3390/agriculture6010004

Peteinatos, G, Korsæth, A, Berge, TW, Gerhards, R. (2016). Using optical sensors to identify water deprivation, nitrogen shortage, weed presence and fungal infection in wheat. Agriculture 6, 24. doi:10.3390/agriculture6020024

Kusnierek, K. and Korsaeth, A. (2015). Simultaneous identification of spring wheat nitrogen and water status using visible and near infrared spectra and Powered Partial Least Squares Regression. Computers and Electronics in Agriculture 117, 200-213.

Geipel, J., Jackenkroll, M., Weis, M. and Claupein, W. (2015). A Sensor Web-Enabled Infrastructure for Precision Farming. ISPRS International Journal of Geo-Information 4(1), 385-399. doi:10.3390/ijgi4010385
Kusnierek, K. and Korsaeth, A. (2014). Challenges in using analog uncooled microbolometer thermal camera to measure crop temperatures. International Journal of Agricultural and Biological Engineering 7, 60-74.

Streibig, JC, Rasmussen, J., Andújar, D., Andreasen, C., Berge, TW et al. (2014). Sensor-based assessment of herbicide effects. Weed Research 54: 223-233. doi:10.1111/wre.12079.

Geipel, J., Link, J. and Claupein, W. (2014). Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System. Remote Sensing 6(11), 10335-10355. doi:10.3390/rs61110335

Øvergaard, S. I., Isaksson, T. and Korsaeth, A. (2013). Prediction of wheat yield and protein using remote sensors on plots. Part I: Assessing near infrared model robustness for year and site variations. Journal of Near Infrared Spectroscopy 21, 117-131.

Øvergaard, S. I., Isaksson, T. and Korsaeth, A. (2013). Prediction of wheat yield and protein using remote sensors on plots. Part II: Improving prediction ability using data fusion. Journal of Near Infrared Spectroscopy 21, 133-140.

Cierniewski J., Karnieli A., Kuśnierek K., Goldberg A., Hermann I. (2013). Approximating the average daily surface albedo with respect to soil roughness and latitude. International Journal of Remote Sensing. 34: 3416-3424.

Berge, TW, Goldberg, S., Kaspersen, K. & Netland, J. (2012). Towards machine vision based site-specific weed management in cereals. Computers and Electronics in Agriculture 81: 79-86. doi10.1016/j.compag.2011.11.004.

Øvergaard, S. I., Isaksson, T., Kvaal, K. and Korsaeth, A. (2010). Comparisons of two hand-held, multispectral field radiometers and a hyperspectral airborne imager in terms of predicting spring wheat grain yield and quality by means of PPLS regression. Journal of Near Infrared Spectroscopy 18, 247-261.

Cierniewski, J., Karnieli, A., Herrmann, I., Królewicz, S. and Kuśnierek, K. (2010). Soil surface illumination at micro-relief scale and soil BRDF data collected by a hyperspectral camera, International Journal of Remote Sensing, 31: 8, 2151-2157. DOI:10.1080/01431161003610281.

Cierniewski J. & Kuśnierek K. (2010). Influence of several size properties on soil surface reflectance. Quaestiones Geographicae 29(1), 13-25. DOI: 10.2478/v10117-010-0002-9.

Korsaeth, A., Riley, H., Kværnø, S.H. and Vestgarden, L.S. (2008). Relations between a Commercial Soil Survey Map Based on Soil Apparent Electrical Conductivity (ECa) and Measured Soil Properties on a Morainic Soil in Southeast Norway. In: Handbook of Agricultural Geophysics (Eds. Barry J. Allred, Jeffrey J. Daniels, and M. Reza Ehsani), p. 225-231. CRC Press, Taylor & Francis Group, New York.

Korsaeth, A. (2008). Dependence of Soil Apparent Electrical Conductivity (ECa) upon Soil Texture and Ignition Loss at Various Depths in Two Morainic Loam Soils in Southeast Norway. In: Handbook of Agricultural Geophysics (Eds. Barry J. Allred, Jeffrey J. Daniels, and M. Reza Ehsani), p. 217-223. CRC Press, Taylor & Francis Group, New York.

Berge, TW, Aastveit, A & Fykse, H. (2008). Evaluation of an algorithm for automatic detection of broad-leaved weeds in spring cereals. Precision Agriculture 9: 391-405. doi: 10.1007/s11119-008-9083-z

Berge, TW, Cederkvist, HR, Fykse, H & Aastveit, AH. (2008). Simulating the effects of mapping and spraying resolution and threshold level on accuracy of patch spraying decisions and herbicide use on mapped weed data. Acta Agriculturae Scandinavica Section B – Soil and Plant Science 58: 216-229. doi: 10.1080/09064710701593087

Berge, TW, Fykse, H & Aastveit, AH. (2007). Patch spraying of weeds in spring cereals: Simulated influences of threshold level and spraying resolution on spraying errors and potential herbicide reduction. Acta Agriculturae Scandinavica Section B – Soil and Plant Science 57: 212-221. doi: 10.1080/09064710600914202

Korsaeth, A. (2006). A method to correct EM38-readings of soil apparent electrical conductivity for height above ground at measuring. Acta Agriculturae Scandinavica, Section B 56, 333-336.
Korsaeth, A., and Riley, H. (2006). Estimation of economic and environmental potentials of variable rate versus uniform N fertilizer application to spring barley on morainic soils in SE Norway. Precision Agriculture 7, 265-279.
Korsaeth, A. (2005). Soil apparent electrical conductivity (ECa) as a means of monitoring changes in soil inorganic N on heterogeneous morainic soils in SE Norway during two growing seasons. Nutrient Cycling in Agroecosystems 72, 213-227.

Conference, workshop and seminar proceedings

Berge, T. W. (2018). Sensor-basert ugraskontroll. Oral presentation and summary. Nationell Växtskyddskonferens 14-15 november 2018, Ultuna, Uppsala, Sverige, 1 p.

Pircher, M., Geipel, J., Kusnierek, K., and Korsaeth, A. (2017). Development of a Hybrid UAV Sensor Platform Suitable for Farm-Scale Applications in Precision Agriculture. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6, 297-302.

Geipel, J., and Korsaeth, A. (2017). Hyperspectral Aerial Imaging for Grassland Yield Estimation. Advances in Animal Biosciences 8(2), 770-775. doi:10.1017/S2040470017000619

Harik, E. H. C., Guérin, F., Guinand, F., Brethé, J. F., and Pelvillain, H. (2016). Towards An Autonomous Warehouse Inventory Scheme. 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, 2016, pp. 1-8. doi: 10.1109/SSCI.2016.7850056

Korsaeth, A., Kusnierek, K., Berge, T.W., Ficke, A., Netland, J. (2015). Use of multiple sensors to determine multiple, co-occurring wheat stressors. 23rd International Symposium of the International Scientific Centre for Fertilizers. Plant nutrition and fertilizer issues for the cold climates, September 8-10, Son, Norway. Published in: Haneklaus, S., Lombnæs, P., Schnug, E. (eds.), Berichte aus dem Julius Kühn-Institut 184, 2016, p. 14. Saphir Verlag, Ribbesbüttel, Germany. ISSN 1866-590X, DOI 10.5073/berjki.2016.184.000

Harik, E. H. C., Guérin, F., Guinand, F., Brethé, J. F., and Pelvillain, H. (2015). UAV-UGV cooperation for objects transportation in an industrial area. 2015 IEEE International Conference on Industrial Technology (ICIT), Seville, 2015, pp. 547-552. doi: 10.1109/ICIT.2015.7125156

Harik, E. H. C., Guinand, F., Pelvillain, H, Guérin, F., and Brethé, J. F. (2015). A decentralized interactive architecture for aerial and ground mobile robots cooperation. 2015 International Conference on Control, Automation and Robotics, Singapore, 2015, pp. 37-43. doi: 10.1109/ICCAR.2015.7165998

Harik, E. H. C., Guérin, F., Guinand, F., Brethé, J. F., Pelvillain, H., and Zentout, A. (2015). Vision based target tracking using an unmanned aerial vehicle. 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO), Lyon, 2015, pp. 1-6. doi: 10.1109/ARSO.2015.7428194

Paraforos, D., Griepentrog, H., Geipel, J., and Stehle, T. (2015). Fused inertial measurement unit and real time kinematic-global navigation satellite system data assessment based on robotic total station information for in-field dynamic positioning. in John V. Stafford, ed., ‘Precision agriculture ’15’, Wageningen Academic Publishers, Wageningen, The Netherlands, pp. 275-282. doi:10.3920/978-90-8686-814-8_331

Stoelen, M.F., Kusnierek, K., Tejada, V.F., Heiberg, N., Balaguer, C. and Korsaeth, A. (2015). Low-Cost Robotics for Horticulture: A Case Study on Automated Sugar Pea Harvesting. in John V. Stafford, ed., ‘Precision agriculture ’15’, Wageningen Academic Publishers, Wageningen, The Netherlands, pp. 283 – 290.

Geipel, J., Peteinatos, G. G., Claupein, W., and Gerhards, R. (2013). Enhancement of micro Unmanned Aerial Vehicles for agricultural aerial sensor systems. in John V. Stafford, ed., ‘Precision agriculture ’13’, Wageningen Academic Publishers, Wageningen, The Netherlands, pp. 161-167. doi:10.3920/978-90-8686-778-3_18

Berge, TW, Utstumo, T. & J. Netland. (2012). Field robots for research and developments in site-specific weed management. In: Peruzzi, A. (Ed.). Proceedings of the first International Conference on Robotics and associated High-technologies and Equipment for Agriculture. September 19-21 2012, Pisa, Italy, p. 31-34.

Rieke, M., Förster, T., Geipel, J., and Prinz, T. (2011). High-Precision Positioning and Real-Time Data Processing of UAV-Systems, ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-1/C22, 119-124.

Kusnierek, K. (2011). Pre-processing of soil visible and near infrared spectra taken in laboratory and field conditions to improve the within-field soil organic carbon multivariate calibration, in:Adamchuk, V.I., Viscarra Rossel, R.A. (Eds.), Proceedings of the Second Global Workshop on Proximal Soil Sensing. McGill University Press, Montreal, Canada, pp. 100–103.

Korsaeth, A. and Øvergaard, S.I. (2010). Mapping variation in soil and plant properties in Norway – Experiences from the last decade. NJF seminar 438: Sensors for soil and plant mapping and terrain analysis, October 27-28, Skara, Sweden. Published in: NJF Report 6(7): 10-13.

Cierniewski J., Karnieli A., Kuśnierek K., Hermann I. (2010). Approximating the average daily soil albedo with respect to soil surface roughness and latitude. Third recent advances in quantitative remote sensing. 27 September – 1 October 2010, Valencia, Spain. ISDN: 978-84-370-7952-3: 10-15.

Cierniewski J., Kaźmierowski C., Kuśnierek K., Piekarczyk J., Królewicz S., Guliński M., Terelak H., Stuczyński T., Maliszewska-Kordybach B. (2010) Unsupervised clustering of soil spectral curves to obtain their stronger correlation with soil properties. Second Workshop on Hyperspectral Imane and Signal Processing: Evolution in Remote Sensing. 14-16 June 2010, Reykjavik, Iceland. ISDN: 978-1-4244-8906-0, doi: 10.1109/WHISPERS.2010.5594852, 4pp.

Korsaeth, A. (2008). Yields and N leaching/runoff losses in a long-term cropping system experiment in SE Norway; results from the new Millennium. NJF seminar 407: Long-term field experiments − a unique research platform, June 16-18, Sandbjerg, Denmark. Published in: Christensen, B.T, Petersen, J., Schacht, M. (eds.) Long-term field experiments − a unique research platform. DJF Plant Science, 137: 68-71.

Korsaeth, A. and Riley, H. (2005). A comparison of fertilizer strategies for spring barley (Hordeum vulgare L.) based on measured yield response to applied N on morainic soils in SE Norway. The 5th European Conference on Precision Agriculture, June 9-12, Uppsala, Sweden. Published in: Stafford, J.V. (ed.) Precision Agriculture ’05, p. 311-318.

Korsaeth, A. (2005). Relations between canopy reflectance and plant N content, above-ground biomass, yields and protein content of winter wheat and spring barley. Published in: Book of abstracts of the 5th European Conference on Precision Agriculture (ECPA), June 9-12, Uppsala, Sweden, p. 162-163.

Korsaeth, A. (2004). Relations Between Electrical Conductivity, Soil Texture and Chemical Properties on a Clay Soil in S Norway. Published in: Conference Abstracts of the Seventh International Conference on Precision Agriculture, July 25-28, Minneapolis, USA., p. 195.

Korsaeth, A. (2003). Relations between soil apparent electrical conductivity, available N, pH and soil moisture on a morainic soil under growing barley (Hordeum vulgare L.) in SE Norway. Published in: Programme book of the 4th European Conference on Precision Agriculture (ECPA), June 15-18, Berlin, Germany, p. 465-466.

Korsaeth, A. and Riley, H. (2003). Relations between electrical conductivity, soil texture and SOM content: Experiences with EM38 on a morainic soil in SE Norway. NJF-seminar no. 336, June 10-12, 2002, Skara, Sweden. Published in: Implementation of Precision Farming in Practical Agriculture, DIAS Report No 100: 139-142.

Riley, H. and Korsæth, A. (2003). Within-field variation in barley response to N fertilizer: Preliminary results. NJF-seminar no. 336, June 10-12, 2002, Skara, Sweden. Published in: Implementation of Precision Farming in Practical Agriculture, DIAS Report No 100: 80-82.


Berge, TW. & Wærnhus, K. (2018). Automatisk flekksprøyting av glyfosat i gulmoden bygg og stubb om høsten [Automatic patch spraying of glyphosate in barley and stubble]. Poster at the 1st NIBIO-conference, Hellerudsletta, Norway, February 2018

Kusnierek, K. and Korsaeth, A. (2013). Combining thermal and spectral data to account for water stress at split-fertilization of wheat. Poster presented at: 9th European Conference on Precision Agriculture, 7th -11th July 2013, Lleida, Spain.

Kusnierek, K., Korsaeth, A. and Sonsteby, A (2013). Using UAV based thermal imaging for monitoring spring development of blackcurrant (Ribes nigrum L.). Poster presented at: Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation, 9th – 10th September 2013, Cologne, Germany.

Korsaeth, A., Kusnierek, K. (2013). Accuracy of water stress determination in spring wheat based on thermal imaging from a UAV. Poster presented at: UAV Workshop, 4th – 6th September 2013, Rostock, Germany.

Øvergaard, S.I., Isaksson, T. and Korsaeth, A. (2012). Poster: Data fusion – NIR and weather data for predicting of wheat yield. Published in: Conference abstract of the 11th International Conference on Precision Agriculture (ICPA), July 15-18, Minneapolis, USA, p. 197.

Øvergaard, S.I., Korsaeth, A. and Isaksson, T. (2011). Poster: Robust reflectance-based predictions of spring wheat yield and protein. 8th European Conference on Precision Agriculture (ECPA), July 11-14, Prague, Czech Republic.

Øvergaard, S.I., Korsaeth, A., Kvaal, K. and Isaksson, T. (2010). Poster: Prediction of yield and protein in wheat using spectroradiometers – A comparison. IDRC (International Diffuce Reflectance Conference), DATO, Chambersburg, PA, USA.

Berge, TW., S. Goldberg, S. Løvås, J. Netland & Ø. Overskeid. (2010). Developing Sweedy – a robot for weed control in swedes (Brassica napus ssp. rapifera). 3rd Precision Crop Protection Conference, Bonn, Germany, September 2010. Poster and abstract (1 p.).

Korsaeth, A. and Ørka, H.O. (2007). Poster: Classification of crops using an airborne hyper-spectral imager. Published in: Poster papers of the 6th European Conference on Precision Agriculture (ECPA), June 3-6, Skiathos, Greece, p. 1-6 (on CD).

Korsaeth, A. and Ørka, H.O. (2006). Poster: Yield estimates from remotely sensed information. NJF-seminar no. 390, November 7-8, Lillehammer, Norway. Published in: NJF Report 2(8) 2006: 91-93.

National publications

Hjelkrem, A.-G. R., Fagerström, J., Kvalbein, L. and Bakken, A.K. 2020. Potential for replacing fossil energy by local PV energy for field and transport work in Norwegian farming. NIBIO Report 6 (169). 39pp.

Korsæth, A., Lindgaard, H., Veidal, A., Asheim, L.. (2019). Utbredelse og potensiell økonomisk og miljømessig nytteverdi med presisjonsjordbruk i Norge. [Prevalence and potential economic and environmental benefits with precision agriculture in Norway] NIBIO Rapport, 5 (41), 54p. ISBN: 978-82-17-02303-6 .

Rindal, K., Lindgaard, H., Geipel, J. (2019). Test av Veris MSP3 under norske forhold. [Test of Veris MSP3 under Norwegian conditions] NIBIO Rapport, 5 (27), 19p. ISBN: 978-82-17-02285-5 .

Tørresen K. S., Brandsæter, L. O., Netland, J. Berge, T. W., Ringselle, B. & Strand, E. (2018). Alternativer til glyfosat i korn og grasmark. [Alternatives to glyphosate in cereals and grassland]. NIBIO Rapport, 4 (79), 72p. ISBN: 978-82-17-02128-5.

Korsæth, A. and Geipel, J. (2016). Økt konkurransekraft innen grøntsektoren i Norge gjennom automatisering av manuelle, ressurskrevende oppgaver – behov og muligheter. NIBIO Rapport, 2(10), 80 s.

Korsæth, A. and Heiberg, N. (2015). Er robotisering av grøntsektoren interessant – hva sier produsentene? Gartneryrket, 10/2015, s. 29-35.

Korsæth, A. (2015). MULTISENS – Større kornavlinger med mindre miljøbelastning – presisjonsgjødsling. Bioforsk FOKUS, 10(2): 29 s.

Eltun, R., Romstad, E., Øygarden, L., Bakken, L., Krogstad, T., Uhlen, A.K., Bjugstad, N. Bakken, A.K., Grønlund, A., Hauge, A., Hoel, B., Korsæth, A., Riley.H. Endrerud, H.C. and Mangerud, K. (2010). Kunnskapsstatus ”Bedre agronomi”. Utredning av kompetansegrunnlaget for bedre agronomi for å møte landbrukets klimautfordringer. Bioforsk RAPPORT 5(66): 77 s.

Øygarden, L., Nesheim, L., Dörsch, P., Fystro, G., Hansen, S., Hauge, A., Korsæth, A., Krokann, K. and Stornes, O. (2009). Klimatiltak i jordbruket – mindre lystgassutslipp gjennom mindre N-tilførsel til jordbruksareal og optimalisering av dyrkingsforhold. Bioforsk Rapport 4(175): 83 s.

Korsæth A. and Ørka, H.O. (2007). Klassifisering av jordbruksarealers vekst/jordarbeidingsstatus på høsten ut fra satellittbilder. Bioforsk FOKUS 2(2): 15-22.