Robot navigation in orchards with localization based on Particle filter and Kalman filter

Autor: Koen van Boheemen, Frits K. van Evert, P.M. Blok, Gook Hwan Kim, Joris IJsselmuiden

Publikováno v: Computers and Electronics in Agriculture 157 (2019)
Computers and Electronics in Agriculture, 157, 261-269

Fruit production in orchards currently relies on high labor inputs. Concerns arising from the increasing labor cost and shortage of labor can be mitigated by the availability of an autonomous orchard robot. A core feature for every mobile orchard rob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8af215930d940d18377092389cd621a3
https://doi.org/10.1016/j.compag.2018.12.046

DiSCount: computer vision for automated quantification of Striga seed germination

Autor: Wietse de Boer, Jos M. Raaijmakers, Raul Masteling, Lodewijk Voorhoeve, Joris IJsselmuiden, Francisco Dini-Andreote

Publikováno v: Plant Methods, 16(1)
Plant Methods, 16(60). BioMed Central
Plant Methods, Vol 16, Iss 1, Pp 1-8 (2020)
Plant Methods, 16(1). Springer Science and Business Media {LLC}
Plant Methods 16 (2020) 1

Background Plant parasitic weeds belonging to the genus Striga are a major threat for food production in Sub-Saharan Africa and Southeast Asia. The parasite’s life cycle starts with the induction of seed germination by host plant-derived signals, f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64f28c212987e4f588007a66ecf42e7
https://hdl.handle.net/20.500.11755/bc68f2da-7a9c-45c6-9b71-7ad30f42d8d6

Evaluation of the performance of PoultryBot, an autonomous mobile robotic platform for poultry houses

Autor: Sam K. Blaauw, B.A. Vroegindeweij, Joris IJsselmuiden, Eldert J. van Henten

Publikováno v: Biosystems Engineering, 174, 295-315
Biosystems Engineering 174 (2018)

Assessment of animal status, housing conditions and manually collecting floor eggs are the major daily tasks for poultry farmers. To assist the farmer in these tasks, PoultryBot, an autonomous mobile robot for use in poultry houses has been developed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c6635e14cdbdc3593d348b3b42c72cf
https://doi.org/10.1016/j.biosystemseng.2018.07.015

Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation

Autor: Joris IJsselmuiden, Jochen Hemming, R. Barth, E.J. van Henten

Publikováno v: Computers and Electronics in Agriculture, 161, 291-304
Computers and Electronics in Agriculture 161 (2019)
Computers and Electronics in Agriculture

A current bottleneck of state-of-the-art machine learning methods for image segmentation in agriculture, e.g. convolutional neural networks (CNNs), is the requirement of large manually annotated datasets on a per-pixel level. In this paper, we invest

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed8d0836524027ce040934b3f3b1b908
https://research.wur.nl/en/publications/synthetic-bootstrapping-of-convolutional-neural-networks-for-sema

Sugar beet and volunteer potato classification using Bag-of-Visual-Words model, Scale-Invariant Feature Transform, or Speeded Up Robust Feature descriptors and crop row information

Autor: H.K. Suh, Joris IJsselmuiden, Eldert J. van Henten, Jan Willem Hofstee

Publikováno v: Biosystems Engineering, 166, 210-226
Biosystems Engineering 166 (2018)

One of the most important steps in vision-based weed detection systems is the classification of weeds growing amongst crops. In the EU SmartBot project it was required to effectively control more than 95% of volunteer potatoes and ensure less than 5%

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5930e023563a0ebdef51a51354f842c
https://research.wur.nl/en/publications/sugar-beet-and-volunteer-potato-classification-using-bag-of-visua