Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Henrik Karstoft"'
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102861- (2024)
Arthropods, including insects, represent the most diverse group and contribute significantly to animal biomass. Automatic monitoring of insects and other arthropods enables quick and efficient observation and management of ecologically and economical
Externí odkaz:
https://doaj.org/article/21188da303044bf191da90ab4f03f057
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Classifying the state of the atmosphere into a finite number of large-scale circulation regimes is a popular way of investigating teleconnections, the predictability of severe weather events, and climate change. Here, we investigate a superv
Externí odkaz:
https://doaj.org/article/5755b551cbce4e54b4067db86786c400
Publikováno v:
Sensors, Vol 23, Iss 16, p 7242 (2023)
As pollinators, insects play a crucial role in ecosystem management and world food production. However, insect populations are declining, necessitating efficient insect monitoring methods. Existing methods analyze video or time-lapse images of insect
Externí odkaz:
https://doaj.org/article/7072e225cad843559e2d492a20a9e1e5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3485-3494 (2021)
Forecasting the formation and development of clouds is a central element of modern weather forecasting systems. Incorrect cloud forecasts can lead to major uncertainty in the overall accuracy of weather forecasts due to their intrinsic role in the Ea
Externí odkaz:
https://doaj.org/article/38cf2ed44c7e4e4882a8aeefbd3eadd1
Autor:
Sadaf Farkhani, Søren Kelstrup Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen, Henrik Karstoft
Publikováno v:
Sensors, Vol 21, Iss 20, p 6705 (2021)
In agriculture, explainable deep neural networks (DNNs) can be used to pinpoint the discriminative part of weeds for an imagery classification task, albeit at a low resolution, to control the weed population. This paper proposes the use of a multi-la
Externí odkaz:
https://doaj.org/article/69af90cc81be4f86a3b64a044749a108
Autor:
Søren Kelstrup Skovsen, Morten Stigaard Laursen, Rebekka Kjeldgaard Kristensen, Jim Rasmussen, Mads Dyrmann, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft
Publikováno v:
Sensors, Vol 21, Iss 1, p 175 (2020)
Crop mixtures are often beneficial in crop rotations to enhance resource utilization and yield stability. While targeted management, dependent on the local species composition, has the potential to increase the crop value, it comes at a higher expens
Externí odkaz:
https://doaj.org/article/64a5d1c313c443048fcccb371461a563
Autor:
Timo Korthals, Mikkel Kragh, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
Today, agricultural vehicles are available that can automatically perform tasks such as weed detection and spraying, mowing, and sowing while being steered automatically. However, for such systems to be fully autonomous and self-driven, not only thei
Externí odkaz:
https://doaj.org/article/302b30816ef84a89b1c5b3bef2f8bf81
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 21407-21426 (2015)
In this paper, we introduce a novel approach to estimate the illumination and reflectance of an image. The approach is based on illumination-reflectance model and wavelet theory. We use a homomorphic wavelet filter (HWF) and define a wavelet quotient
Externí odkaz:
https://doaj.org/article/2a032b94ca0d413ab66bd16e4ca3f556
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 5096-5111 (2015)
Mechanical weeding is an important tool in organic farming. However, the use of mechanical weeding in conventional agriculture is increasing, due to public demands to lower the use of pesticides and an increased number of pesticide-resistant weeds. G
Externí odkaz:
https://doaj.org/article/e5f7f409a1e940598877243d88191ab2
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 13778-13793 (2014)
In agricultural mowing operations, thousands of animals are injured or killed each year, due to the increased working widths and speeds of agricultural machinery. Detection and recognition of wildlife within the agricultural fields is important to re
Externí odkaz:
https://doaj.org/article/8ad0fd955b114cb28d127da915950ba0