A5075033857- Remote Sensing and LiDAR Applications
- Animal Vocal Communication and Behavior
- Avian ecology and behavior
- Research in Social Sciences
- Plant Water Relations and Carbon Dynamics
- Forest ecology and management
- Isotope Analysis in Ecology
- Tree Root and Stability Studies
- Embedded Systems and FPGA Design
- Intellectual Property and Patents
- Linguistics and language evolution
- Light effects on plants
- Energy Efficient Wireless Sensor Networks
- Food Supply Chain Traceability
- Remote Sensing and Land Use
- Aquatic Invertebrate Ecology and Behavior
- IoT-based Smart Home Systems
- Photosynthetic Processes and Mechanisms
- Innovation Policy and R&D
- Water Quality Monitoring Technologies
- Advanced Measurement and Detection Methods
- Rangeland and Wildlife Management
- Aquatic Ecosystems and Phytoplankton Dynamics
- Plant Molecular Biology Research
Swedish University of Agricultural Sciences
2013-2023
Tampere University
2017-2020
University Consortium of Pori
2019
Umeå Plant Science Centre
2013
An automatic bird identification system is required for offshore wind farms in Finland. Indubitably, a radar the obvious choice to detect flying birds, but external information actual identification. We applied visual camera images as data. The proposed consists of radar, motorized video head and single-lens reflex with telephoto lens. A convolutional neural network trained deep learning algorithm image classification. also propose data augmentation method which are rotated converted...
Abstract Practical deterrent methods are needed to prevent collisions between birds and wind turbine blades for offshore farms. It is improbable that a single method would work all bird species in given area. An automatic identification system required order develop species–level methods. This the first necessary part of entirety eventually able automatically monitor movements, identify species, launch measures. A prototype has been built on Finnish west coast. In proposed system, separate...
Light quality response is a vital environmental cue regulating plant development. Conifers, like angiosperms, respond to the changes in light including level of red (R) and far-red (FR) light, which follows latitudinal cline. R FR wavelengths form significant component entire life cycle, initial developmental stages such as seed germination, cotyledon expansion hypocotyl elongation. With an aim identify differentially expressed candidate genes, would provide clue regarding genes involved...
An automatic bird identification system is required for offshore wind farms in Finland. Indubitably, a radar the obvious choice to detect birds but actual requires external information such as digital images. The final species based on fusion of data and image data. We applied deep learning method classification we developed expansion technique training present results classifier small convolutional neural network.
Abstract Climate change possess a threat to forests and forestry. Drought has been identified as one of the main issues due its interaction with other biotic abiotic stresses. Few studies have done regarding breeding effect on adaptability climate change. After common garden experiment seedling families Scots pine from northern Sweden, we found differences in drought tolerance between natural origin. We performed high throughput analysis-based phenotyping both canopy root traits. Root...