LukeResearch Transition link

Transition link

Transition link

Instructions Transition link

Transition link

Virtu-Login Transition link

Transition link

Login (Separate ID)

Internal experts

Search services
Experts
Projects
Publications
Scientific activities
Luke's organization
Free form search

Anonyymi

Pohjankukka Jonne

Ph.D.

Senior Scientist
Applied statistical methods , Natural resources

Itäinen Pitkäkatu 4 A
20520
Turku

jonne.pohjankukka@luke.fi

Researcher identification00
Research topics and work description in English(free text) : machine learning, computer vision, data science, statistical modeling
Language skill: English, Finnish, Russian, Swedish
ORCID: https://orcid.org/0000-0002-5808-2577
Social media profiles00
LinkedIn: https://fi.linkedin.com/in/jonne-pohjankukka ResearchGate: https://www.researchgate.net/profile/Jonne_Pohjankukka Google Scholar: https://scholar.google.com/citations?user=4Zx3-28AAAAJ&hl=fi

Attachments00
JonnePohjankukka Tweet

Projects00
Suora linkki tälle sivulle suomeksi Direct link to this page in English
Running Utilizing Machine Learning Methods and Language Models for Farm Management [AI Steward] 2025-2025 [MODAL] 2025-2025 Towards improved turbulent flux estimates of finite land use patches - from simple quality metrics to a conceptual model [PATCHEC] 2023-2027 [KAKE] 2023-2026 Ended [RoboAI] 2024-2024 Assessing the quantity and quality of measurable fishing losses caused by cormorants in Finnish coastal waters [Merimetso & kalastusvahingot] 2022-2023 AiMBRYO – Artificial intelligence in germination of Norway spruce somatic embryos [AiEMBRYO] 2022-2023 Advanced spatial data on agricultural peat soils in Finland [MaaTu 01] 2021-2023 Unique log identification through artificial intelligence [ULTRA] 2021-2021 Advances in soil information [MaaTi] 2021-2022 Novel soil management practices - key for sustainable bioeconomy and climate change mitigation 2 [SOMPA 2] 2021-2023 Replacing human eye with AI [AI-EYE] 2020-2022 Genetically modified cell model for bovine mastitis [editMASTITIS] 2018-2020
Publications00
A1 Journal article (refereed) Pohjankukka, Jonne; Räsänen, Timo A.; Pitkänen, Timo P.; Kivimäki, Arttu; Mäkinen, Ville; Väänänen, Tapio; Lerssi, Jouni; Salmivaara, Aura; Middleton, Maarit. 2025. Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning. Geoderma 455: 25 s. Holmström, Eero; Kainulainen, Henna; Raatevaara, Antti; Pohjankukka, Jonne; Piri, Tuula; Honkaniemi, Juha; Uusitalo, Jori; Peltoniemi, Mikko; Lehtonen, Aleksi. 2024. Automatic detection of root rot and resin in felled Scots pine stems using convolutional neural networks. International journal of forest engineering 35 2: 153-165. Holmström, Eero; Raatevaara, Antti; Pohjankukka, Jonne; Korpunen, Heikki; Uusitalo, Jori. 2023. Tree log identification using convolutional neural networks. Smart Agricultural Technology 4: 13 p. Pohjankukka, Jonne; Tuominen, Sakari; Heikkonen, Jukka. 2022. Bayesian Approach for Optimizing Forest Inventory Survey Sampling with Remote Sensing Data. Forests 13 10: 23 p. D2 Article in professional manuals or guides or professional information systems or text book material Havia, Elina; Bernhardt, Elmar; Pohjankukka, Jonne; Montonen, Henri; Varis, Saila; Välimäki, Sakari; Tikkinen, Mikko. 2024. Robotiikalla tehokkuutta taimituotantoon. In: Metsä, ympäristö ja energia : Soveltavaa tutkimusta ja tuotekehitystä : Vuosijulkaisu 2024. Xamk Kehittää 239: 223-230. D4 Published development or research report or study Westerbom, Mats; Airaksinen, Susanna; Arkko, Valtteri; Byholm, Patrik; Ekblad, Camilla; Hopkins, Juhani; Jormalainen, Veijo; Kankainen, Markus; Laaksonen, Toni; Lehmonen, Roope; Lehmuskallio, Juhani; Lindberg, Pia; Lindén, Andreas; Lindqvist, Meri; Moilanen, Noora; Niukko, Jari; Olin, Mikko; Ovaskainen, Antti; Piha, Markus; Pohjankukka, Jonne; Seimola, Tuomas; Svels, Kristina; Tiitinen, Matilda. 2024. Merimetson ja harmaahaikaran suorat kalatalousvahingot : määrän ja laadun arviointi Suomen merialueilla. Luonnonvara- ja biotalouden tutkimus 56/2024: 177 s. Middleton, Maarit; Laatikainen, Matti; Kivilompolo, Janne; Harju, Asta; Lerssi, Jouni; Valkama, Markus; Pitkänen, Timo; Pohjankukka, Jonne; Balazs, Andras; Tuominen, Sakari; Zelioli, Luca; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka. 2023. Technical description for the peatland site type data of Finland. GTK Open File Work Report 73/2023: 253 p. Räsänen, Timo; Middleton, Maarit; Pohjankukka, Jonne; Mäkinen, Ville; Kivimäki, Arttu; Pitkänen, Timo P; Lerssi, Jouni; Laatikainen, Matti; Väänänen, Tapio; Auri, Jaakko; Heikkinen, Jaakko; Kanaoja, Tapio; Kekkonen, Hanna; Kivilompolo, Janne; Myllys, Merja; Möller, Åke; Nousiainen, Maarit; Oksanen, Juha; Puttonen, Eetu; Salmivaara, Aura; Madetoja, Jaakko; Säävuori, Heikki; Torppa, Johanna; Salo, Tapio. 2023. Turvemaiden digitaalinen kartoitus ja turvepeltolohkojen tunnistaminen. Luonnonvara- ja biotalouden tutkimus 119/2023: 76 s.
Expert tasks00
Presentations Presentations and posters: Using deep learning for tracing logs and assessing log quality. FORMEC 2023, 22.09.2023 Presentations and posters: Automatic detection of decay and resin in felled Scots pine stems using convolutional neural networks. COFE-FORMEC 2021, 27.09.2021