Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2025
Authors
Alexander N. Hristov Andre Bannink M Battelli A Belanche M.C.C. Sanz G. Fernandez-Turren F. Garcia A. Jonker D.A. Kenny Vibeke Lind Sarah J. Meale D.M. Zilio C. Munoz David Pacheco Nico Peiren M. Ramin L. Rapetti Angela Schwarm S. Stergiadis K. Theodoridou Emilio M. Ungerfeld Sanne van Gastelen David R. Yanez-Ruiz Sinead M. Waters Peter LundAbstract
No abstract has been registered
Authors
Alexander Hristov Andre Bannink Marco Battelli Alejandro Belanche M. Cecilia Cajarville Sanz Gonzalo Fernandez-Turren Florencia Garcia Arjan Jonker David A. Kenny Vibeke Lind Sarah J. Meale David Meo Zilio Camila Munoz David Pacheco Nico Peiren Mohammad Ramin Luca Rapetti Angela Schwarm Sokratis Stergiadis Katerina Theodoridou Emilio M. Ungerfeld Sanne van Gastelen David R. Yanez-Ruiz Sinead M. Waters Peter LundAbstract
No abstract has been registered
Authors
Oliver Körner Alice Boarino Martina Friuli Dmitry Kechasov Elio Dinuccio Luisella Celi Xingjiang Zhang-SchneiderAbstract
The re-usage of waste can strongly impact the environmental footprints of both the biogas production facility as waste-source and a receiver system as a greenhouse production. The waste product of the biogas-reactors as e.g. liquid and solid fertiliser. In a combined production with heated greenhouse-production both the main product biogas as well as its side products as water and the digestate are valuable compounds for a greenhouse production system. The impact of main and side products on the greenhouse produce depends on location, greenhouse type, and overall composition of the system. We analysed and modelled biogas-production of two biogas-greenhouse scenarios in Italy and Norway with each their specific input and outputs. For the two existing locations in Northern Italy (Trento; 46°04′N LAT) and Southern Norway (Sandefjord; LAT 59°08′N), and for a hypothetical location geographically between them (Berlin, Germany; 52°52′N) we analysed three scenarios of agricultural waste with either apple-juice production waste, waste from husbandry, or a mix of these two wastes; and their impact on environmental foot-prints of a tomato production in greenhouses. Scenarios were simulated with a greenhouse simulator, while simulation data was used as input to a consequential life cycle assessment. Functional unit was 1kg of tomato as gate.
Authors
Linn SolliAbstract
Webinar presentation
Authors
Shimelis Gizachew Raji Bimrew Asmare Yohannes Ewunetu Tesema Dangura Marit Jørgensen Yonas BerhanuAbstract
Prosjektbanken NFR
Abstract
No abstract has been registered
Authors
Heikki Korpunen Yrjö Nuutinen Paula Jylhä Lars Eliasson Aksel Granhus Juha Laitila Stephan Hoffmann Timo MuhonenAbstract
• Overall forest management objectives and stand properties set the requirements and possibilities for harvesting in continuous cover forestry (CCF). • Harvester and forwarder operators play a key role in successful CCF harvesting, as both productivity and quality of work are essential factors in harvesting operations. • Optimal stand conditions improve work productivity on selection harvesting sites; harvested stem volume correlates well with work productivity in cutting, and density of remaining trees does not significantly reduce work productivity in forwarding. • Carefully executed group cutting and shelterwood harvesting can reduce the number of damaged remaining trees, which is beneficial for future tree generations. • Research-based information is needed about work productivity in harvesting, damage caused by harvesting, and optimisation of strip road and forest road networks for CCF.
Abstract
The AllEcoSys project aims to promote sustainable and resilient agricultural systems by implementing a network of living labs across Europe. November 26th is the first AllEcoSys Living Lab seminar. Main speaker was Ole Green from the Danish Living Lab. Ole Green is honorary professor at Aarhus University, founder of Agrointelli, producing innovative farm robotics, and a farmer, developing a novel stripcropping system of berry bushes and annual crops. Project co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
Authors
Mostafa Hoseini Helle Ross Gobakken Stephan Hoffmann Csongor Horvath Johannes Rahlf Jan Bjerketvedt Stefano Puliti Rasmus AstrupAbstract
RoadSens is a platform designed to expedite the digitalization process of forest roads, a cornerstone of efficient forest operations and management. We incorporate stereo-vision spatial mapping and deep-learning image segmentation to extract, measure, and analyze various geometric features of the roads. The features are precisely georeferenced by fusing post-processing results of an integrated global navigation satellite system (GNSS) module and odometric localization data obtained from the stereo camera. The first version of RoadSens, RSv1, provides measurements of longitudinal slope, horizontal/vertical radius of curvature and various cross-sectional parameters, e.g., visible road width, centerline/midpoint positions, left and right sidefall slopes, and the depth and distance of visible ditches from the road’s edges. The potential of RSv1 is demonstrated and validated through its application to two road segments in southern Norway. The results highlight a promising performance. The trained image segmentation model detects the road surface with the precision and recall values of 96.8 and 81.9 , respectively. The measurements of visible road width indicate sub-decimeter level inter-consistency and 0.38 m median accuracy. The cross-section profiles over the road surface show 0.87 correlation and 9.8 cm root mean squared error (RMSE) against ground truth. The RSv1’s georeferenced road midpoints exhibit an overall accuracy of 21.6 cm in horizontal direction. The GNSS height measurements, which are used to derive longitudinal slope and vertical curvature exhibit an average error of 5.7 cm compared to ground truth. The study also identifies and discusses the limitations and issues of RSv1, which provide useful insights into the challenges in future versions.