Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Philipp Lottes"'
Autor:
Florian Görlich, Elias Marks, Anne-Katrin Mahlein, Kathrin König, Philipp Lottes, Cyrill Stachniss
Publikováno v:
Drones, Vol 5, Iss 2, p 34 (2021)
Plant diseases can impact crop yield. Thus, the detection of plant diseases using sensors that can be mounted on aerial vehicles is in the interest of farmers to support decision-making in integrated pest management and to breeders for selecting tole
Externí odkaz:
https://doaj.org/article/c0a58c89614c45f986d16f7b7c9529f3
Autor:
Inkyu Sa, Marija Popović, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1423 (2018)
The ability to automatically monitor agricultural fields is an important capability in precision farming, enabling steps towards more sustainable agriculture. Precise, high-resolution monitoring is a key prerequisite for targeted intervention and the
Externí odkaz:
https://doaj.org/article/7753553da7de42fbb8aeef295b75eac6
Publikováno v:
IEEE Robotics and Automation Letters. 7:3787-3794
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04fe41a2f94237e97dacf7506ef85e5d
https://doi.org/10.1109/lra.2022.3147462
https://doi.org/10.1109/lra.2022.3147462
Publikováno v:
Journal of Field Robotics. 37:322-340
Autonomous robotic weeding systems in precision farming have demonstrated their full potential to alleviate the current dependency on agrochemicals such as herbicides and pesticides, thus reducing environmental pollution and improving sustainability.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c2f27657de50b59eb924df53940fe0
https://doi.org/10.1002/rob.21938
https://doi.org/10.1002/rob.21938
Publikováno v:
Journal of Field Robotics. 37:20-34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd7473c78c4bc53b1f2da558a03be82
https://doi.org/10.1002/rob.21901
https://doi.org/10.1002/rob.21901
Publikováno v:
IROS
Crops are an important source of food and other products. In conventional farming, tractors apply large amounts of agrochemicals uniformly across fields for weed control and plant protection. Autonomous farming robots have the potential to provide en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0d786a3c515f26a10edc704e817d554
https://doi.org/10.1109/iros45743.2020.9341277
https://doi.org/10.1109/iros45743.2020.9341277
Autor:
Philipp Lottes, Thomas Schultz, Andres Milioto, Rasha Sheikh, Cyrill Stachniss, Maren Bennewitz
Publikováno v:
ICRA
Annotated datasets are essential for supervised learning. However, annotating large datasets is a tedious and time-intensive task. This paper addresses active learning in the context of semantic segmentation with the goal of reducing the human labeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c04796161ed2666f83b36857550122a6
https://doi.org/10.1109/icra40945.2020.9196722
https://doi.org/10.1109/icra40945.2020.9196722
Autor:
Anne-Katrin Mahlein, Cyrill Stachniss, Stephen Baumgarten, Philipp Lottes, Abel Barreto, Nina Anastasia Wolf, Facundo Ramón Ispizua Yamati, Stefan Paulus
Publikováno v:
Computers and Electronics in Agriculture. 191:106493
Counting crop seedlings is a time-demanding activity involved in diverse agricultural practices like plant cultivating, experimental trials, plant breeding procedures, and weed control. Unmanned Aerial Vehicles (UAVs) carrying RGB cameras are novel t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd1eb608cbba1e9b0a811133df257551
https://doi.org/10.1016/j.compag.2021.106493
https://doi.org/10.1016/j.compag.2021.106493
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W3, Pp 41-48 (2017)
UAVs are becoming an important tool for field monitoring and precision farming. A prerequisite for observing and analyzing fields is the ability to identify crops and weeds from image data. In this paper, we address the problem of detecting the sugar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0a2362b2211969cb580187686d6df69
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W3/41/2017/isprs-annals-IV-2-W3-41-2017.pdf
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W3/41/2017/isprs-annals-IV-2-W3-41-2017.pdf
Publikováno v:
ICRA
Localization is a pre-requisite for most autonomous robots. For example, to carry out precision agriculture tasks effectively, a robot must be able to localize itself accurately in crop fields. The crop field environment presents unique challenges su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd1a66708b2be6606facce7e2d6ef64a
https://doi.org/10.1109/icra.2019.8794030
https://doi.org/10.1109/icra.2019.8794030