Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Claus Grøn Sørensen"'
Autor:
Gavriela Asiminari, Vasileios Moysiadis, Dimitrios Kateris, Patrizia Busato, Caicong Wu, Charisios Achillas, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 657-677 (2024)
Within the transition from precision agriculture (task-specific approach) to smart farming (system-specific approach) there is a need to build and evaluate robotic systems that are part of an overall integrated system under a continuous two-way conne
Externí odkaz:
https://doaj.org/article/5a3945528d9545ceb78159ccf7ff8527
Autor:
Aristotelis C. Tagarakis, Lefteris Benos, George Kyriakarakos, Simon Pearson, Claus Grøn Sørensen, Dionysis Bochtis
Publikováno v:
Sensors, Vol 24, Iss 10, p 3117 (2024)
Digital twins aim to optimize practices implemented in various sectors by bridging the gap between the physical and digital worlds. Focusing on open-field agriculture, livestock farming, and forestry and reviewing the current applications in these do
Externí odkaz:
https://doaj.org/article/03d42cf6645c48708e7959b0e6e1c59c
Publikováno v:
AgriEngineering, Vol 2, Iss 3, Pp 408-429 (2020)
The problem of finding an optimal solution for the slurry application process is casted as a capacitated vehicle routing problem (CVRP) in which by considering the vehicle’s capacity, it is required to visit all the tracks only once to fully cover
Externí odkaz:
https://doaj.org/article/2dafd1d1a99f40898fad983135c99834
Autor:
Dimitrios Katikaridis, Vasileios Moysiadis, Naoum Tsolakis, Patrizia Busato, Dimitrios Kateris, Simon Pearson, Claus Grøn Sørensen, Dionysis Bochtis
Publikováno v:
Agronomy, Vol 12, Iss 8, p 1937 (2022)
Automated agricultural operations must be planned and organized to reduce risk and failure potential while optimizing productivity and efficiency. However, the diversity of natural outdoor environments and the varied data types and volumes required t
Externí odkaz:
https://doaj.org/article/64ee95ab9cf14edf82b3c4c4e29e396e
Autor:
Athanasios Anagnostis, Aristotelis C. Tagarakis, Dimitrios Kateris, Vasileios Moysiadis, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis
Publikováno v:
Sensors, Vol 21, Iss 11, p 3813 (2021)
This study aimed to propose an approach for orchard trees segmentation using aerial images based on a deep learning convolutional neural network variant, namely the U-net network. The purpose was the automated detection and localization of the canopy
Externí odkaz:
https://doaj.org/article/a395bcca24b44f8d82a15525b04b3e5b
Autor:
Alessia Cogato, Andrea Pezzuolo, Claus Grøn Sørensen, Roberta De Bei, Marco Sozzi, Francesco Marinello
Publikováno v:
Land, Vol 9, Iss 11, p 469 (2020)
Planting criteria of new vineyards should comply with rational and sustainable criteria, taking into account the potential mechanisability of existing viticultural areas. However, an established methodology for this assessment is still lacking. This
Externí odkaz:
https://doaj.org/article/4300a5cff1854bda84f95d4501f4fff6
Publikováno v:
Energies, Vol 13, Iss 3, p 769 (2020)
The calculation of the energy cost of a cultivation is a determining factor in the overall assessment of agricultural sustainability. Most studies mainly examine the entire life cycle of the operation, considering reference values and reference datab
Externí odkaz:
https://doaj.org/article/bc233bd6220942ee9e8aef2b5861fd2c
Autor:
Kun Zhou, Allan Leck Jensen, Dionysis Bochtis, Michael Nørremark, Dimitrios Kateris, Claus Grøn Sørensen
Publikováno v:
Agronomy, Vol 10, Iss 1, p 83 (2020)
Advanced systems for manned and/or agricultural vehicles—such as systems for auto-steering, navigation-adding, and autonomous route planning—require new capabilities in terms of the internal representation for the autonomous system of the working
Externí odkaz:
https://doaj.org/article/bb9c9f6c5c14492e82ad6799975d5b68
Publikováno v:
Applied Sciences, Vol 10, Iss 1, p 329 (2020)
The evaluation and prediction of the agricultural machinery field efficiency is essential for agricultural operations management. Field efficiency is affected by unpredictable (e.g., machine breakdowns) and stochastic (e.g., yield) factors, and thus,
Externí odkaz:
https://doaj.org/article/f8866c4bb63b4c38846ec5733f590e2e
Publikováno v:
Vahdanjoo, M, Gislum, R & Grøn Sørensen, C 2023, ' Operational, Economic, and Environmental Assessment of an Agricultural Robot in Seeding and Weeding Operations ', AgriEngineering, vol. 5, no. 1, 5, pp. 299–324 .
AgriEngineering
Volume 5
Issue 1
Pages: 299-324
Aarhus University
AgriEngineering
Volume 5
Issue 1
Pages: 299-324
Aarhus University
The development of robotic-based agricultural machinery systems has significantly increased in recent years. Many autonomous systems have not yet been measured based on sustainability and economic performances, even though automation is regarded as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c63bf51b231ee7bf3f3f4ea1517e2de
https://pure.au.dk/ws/files/308607420/agriengineering_05_00020_1_.pdf
https://pure.au.dk/ws/files/308607420/agriengineering_05_00020_1_.pdf
