Search results for "VDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910"
showing 8 items of 8 documents
Potential impacts of a future Nordic bioeconomy on surface water quality
2020
AbstractNordic water bodies face multiple stressors due to human activities, generating diffuse loading and climate change. The ‘green shift’ towards a bio-based economy poses new demands and increased pressure on the environment. Bioeconomy-related pressures consist primarily of more intensive land management to maximise production of biomass. These activities can add considerable nutrient and sediment loads to receiving waters, posing a threat to ecosystem services and good ecological status of surface waters. The potential threats of climate change and the ‘green shift’ highlight the need for improved understanding of catchment-scale water and element fluxes. Here, we assess possible bio…
Complex responses of global insect pests to climate warming
2020
Although it is well known that insects are sensitive to temperature, how they will be affected by ongoing global warming remains uncertain because these responses are multifaceted and ecologically complex. We reviewed the effects of climate warming on 31 globally important phytophagous (plant‐eating) insect pests to determine whether general trends in their responses to warming were detectable. We included four response categories (range expansion, life history, population dynamics, and trophic interactions) in this assessment. For the majority of these species, we identified at least one response to warming that affects the severity of the threat they pose as pests. Among these insect spec…
Design and verification of a solar powered automatic rooftop hydroponic system with real time individual measuring of potassium and calcium
2019
Master's thesis Renewable Energy ENE500 - University of Agder 2019 This report covers development and implementation of two hydroponic systems. One at a lab inside theUniversity of Agder, and one at the roof on the J-Building at the University. This report tries to answer thefollowing main research question: How can an automated system for control of nutrient concentration andpH in a solar powered hydroponic system be developed, implemented and verified?The focus of the report has been to create a fully functional system for the lab, generating data forelectronic conductivity for measuring a specter of nutrients, pH value, individual nutrients and temperaturefor comparison. The work has bee…
Hydroponic Lettuce Cultivation Using Organic Nutrient Solution from Aerobic Digested Aquacultural Sludge
2021
The aim of this study was to demonstrate how aquacultural sludge can be processed and utilized as an organic nutrient solution (ONS) for hydroponic lettuce production. By using a previous developed method, approximately 80% of the processed sludge was reclaimed as a clear, nutrient-rich solution. The performance of the recovered nutrient solution on lettuce growth was assessed in a nutrient film hydroponic system. The results were compared to the results obtained using a conventional nutrient solution (CNS). Yield, fresh weight, water consumption, and nutrient and heavy metal content in leaf tissue were measured. In spite of a 16% lower average fresh weight obtained in ONS compared to the w…
Matproduksjon, mattrygghet og miljø - innspill om kunnskapsbehov til gjennomføringen av det grønne skiftet - Uttalelse fra hovedkomiteen i Vitenskaps…
2022
Denne rapporten er utarbeidet av Vitenskapskomiteen for mat og miljø (VKM), en uavhengig, tverrfaglig komité som utarbeider kunnskapsgrunnlag for den norske mat- og miljøforvaltningen på områdene matproduksjon, mattrygghet og biologisk mangfold. De siste tiårene har FNs klimapanel, Det internasjonale naturpanelet, Det internasjonale ressurspanelet og flere andre paneler og organisasjoner levert rapporter som dokumenterer at befolkningsvekst og menneskelig aktivitet fører med seg store og økende utfordringer på miljø-, klima- og ressursområdet. Endringer innen disse områdene påvirker matproduksjon, matsikkerhet, mattrygghet, folkehelse og naturverdier i alle deler av verden (UNEP, 2021). Sam…
Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS
2022
Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made to detect forest fires using a variety of approaches, including optical fire sensors, and satellite-based technologies, all of which have been unsuccessful. In today’s world, research on flying ad hoc networks (FANETs) is a thriving field and can be used successfully. This paper describes a unique clustering approach that identifies the presence of a fire zone in a forest and transfers all sensed data to a base station as soon as feasible via wireless communication. The fire department takes the required steps to prevent the spread of the fire. It is proposed in this study…
Assessing impacts of soil management measures on ecosystem services
2018
Only a few studies have quantified and measured ecosystem services (ES) specifically related to soil. To address this gap, we have developed and applied a methodology to assess changes in ecosystem services, based on measured or estimated soil property changes that were stimulated by soil management measures (e.g., mulching, terracing, no-till). We applied the ES assessment methodology in 16 case study sites across Europe representing a high diversity of soil threats and land use systems. Various prevention and remediation measures were trialled, and the changes in manageable soil and other natural capital properties were measured and quantified. An Excel tool facilitated data collection, c…
Farm-Scale Crop Yield Prediction from Multi-Temporal Data Using Deep Hybrid Neural Networks
2021
Farm-scale crop yield prediction is a natural development of sustainable agriculture, producing a rich amount of food without depleting and polluting environmental resources. Recent studies on crop yield production are limited to regional-scale predictions. The regional-scale crop yield predictions usually face challenges in capturing local yield variations based on farm management decisions and the condition of the field. For this research, we identified the need to create a large and reusable farm-scale crop yield production dataset, which could provide precise farm-scale ground-truth prediction targets. Therefore, we utilise multi-temporal data, such as Sentinel-2 satellite images, weath…