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.
2023
Authors
Mélanie Spedener Karen Marie Mathisen Marie Vestergaard Henriksen Anders Nielsen Gunnar Austrheim Barbara ZimmermannAbstract
No abstract has been registered
Abstract
This report presents findings from a qualitative survey among actors involved in the production and sale of local food in Oslo and Bristol, with a focus on sales models and challenges and opportunities for direct sales. The actors in Oslo and Bristol had largely the same motivation for local food sales, including environmental sustainability, transparency in the supply chain, creating community, supporting farmers, sharing knowledge about food and agriculture, as well as being a counterweight to the mainstream food system. Climate crisis and food safety were stronger motivational factors among actors in Bristol than in Oslo, while in Oslo there was more emphasis on the importance of local sales channels for food diversity and quality. Several interviewees pointed to lack of economic profitability as one of the most important challenges for the local food producers. It requires a great deal of work both with production, marketing and sales to be economically successful as a small-scale producer. At the same time, buying local food often requires more time, effort and money from consumers compared to shopping in grocery stores. The report points to several possible solutions to these challenges: increased demand for local food due to changes in attitudes, increased cooperation between producers, sales channels, organizations and public authorities to reduce competition and find common solutions, as well as the development of common digital platforms that can create economies of scale and make marketing and deliveries more efficient. It is also important to look at how the public sector, both through grants, procurement and guidance, can facilitate increased production and sale of local food.
Abstract
Short food supply chains (SFSCs) are associated with a range of contested, place-based attributes which contrast with the characteristics of complex, global and corporate chains. This article avoids such oppositional binaries by focusing on SFSCs serving two European cities, namely Oslo (Norway) and Bristol (UK). It reviews cities as a particular kind of market within which to secure custom, by presenting qualitative data from a study of SFSCs in these two cities to examine marketing barriers and opportunities encountered. Distinctive urban contexts, such as the density of consumers and presence of food-related infrastructures, can influence the marketing strategies and sales channels chosen by food enterprises. Difficulties are faced by both food producers and the sales channels through which they come to market, especially in relation to financial viability, price competition and efficiency. Our analysis, as well as highlighting connections and divergences between Oslo and Bristol, emphasises the role of these cities in providing diverse food market niches. Alongside global chains, functioning SFSCs help to reflect the history of Oslo and Bristol as trading cities with diverse populations and reveal enterprise adaptability and innovation as market demand shifts.
Abstract
Local food is increasing in popularity. The more local, the better. However, selling local food is much more demanding than many may be aware of. Fortunately, new digital solutions are on the way.
Abstract
Weeds affect crop yield and quality due to competition for resources. In order to reduce the risk of yield losses due to weeds, herbicides or non-chemical measures are applied. Weeds, especially creeping perennial species, are generally distributed in patches within arable fields. Hence, instead of applying control measures uniformly, precision weeding or site-specific weed management (SSWM) is highly recommended. Unmanned aerial vehicle (UAV) imaging is known for wide area coverage and flexible operation frequency, making it a potential solution to generate weed maps at a reasonable cost. Efficient weed mapping algorithms need to be developed together with UAV imagery to facilitate SSWM. Different machine learning (ML) approaches have been developed for image-based weed mapping, either classical ML models or the more up-to-date deep learning (DL) models taking full advantage of parallel computation on a GPU (graphics processing unit). Attention-based transformer DL models, which have seen a recent boom, are expected to overtake classical convolutional neural network (CNN) DL models. This inspired us to develop a transformer DL model for segmenting weeds, cereal crops, and ‘other’ in low-resolution RGB UAV imagery (about 33 mm ground sampling distance, g.s.d.) captured after the cereal crop had turned yellow. Images were acquired during three years in 15 fields with three cereal species (Triticum aestivum, Hordeum vulgare, and Avena sativa) and various weed flora dominated by creeping perennials (mainly Cirsium arvense and Elymus repens). The performance of our transformer model, 1Dtransformer, was evaluated through comparison with a classical DL model, 1DCNN, and two classical ML methods, i.e., random forest (RF) and k-nearest neighbor (KNN). The transformer model showed the best performance with an overall accuracy of 98.694% on pixels set aside for validation. It also agreed best and relatively well with ground reference data on total weed coverage, R2 = 0.598. In this study, we showed the outstanding performance and robustness of a 1Dtransformer model for weed mapping based on UAV imagery for the first time. The model can be used to obtain weed maps in cereals fields known to be infested by perennial weeds. These maps can be used as basis for the generation of prescription maps for SSWM, either pre-harvest, post-harvest, or in the next crop, by applying herbicides or non-chemical measures.
Abstract
No abstract has been registered
Abstract
Since the world’s population is increasing, alternative food sources must be tapped. Although algae have a high potential to become a part of our diets due to their favorable nutritional properties, there is a little information on the willingness of consumers in Norway to try algae-made foods. In this paper we used a Norwegian survey to address this question. We constructed an order logistic regression model and predicted conditional probabilities to try algae food. The results show that among the most important aspect for willingness to try food with algae is age, health conscientiousness, and environmental attitudes.
Abstract
No abstract has been registered
Authors
Giovanna Ottaviani Aalmo Silvija Krajter Ostoic Divina Gracia P. Rodriguez Liz O’Brien Constanza ParraAbstract
An increasing number of cities are becoming a striking illustration of the maldistribution of resources. These resources, which are both physical and societal, lead to inequalities which are at the root of issues such as societal tensions, poverty, alienation, and marginalization of particular groups from the public discourse (Cassiers and Kesteloot 2012). The interrelationships between the urban social environment and urban environmental conditions, alongside political and economic structures, define the distribution and access to the benefits and services that are linked to nature in the cities (O’Brien et al. 2017a, b).
Authors
Linn Vassvik Anders Nielsen Erik Trond Aschehoug Bjørn Arild Hatteland Joseph Chipperfield Michael P. D. GarrattAbstract
No abstract has been registered