@article{96652ee79adb4a37b3357685858dc8ee,
title = "Energy harvesting from tropical biomasses in Wallacea region: scenarios, technologies, and perspectives",
keywords = "Conversion technology, Geographic information system, Machine learning, Tropical biomass, Wallacea",
author = "Arif Darmawan and Taufiq Asyhari and Iswan Dunggio and Salmahaminati and Muhammad Aziz",
note = "Funding Information: Open access funding provided by The University of Tokyo. The British Council COP26 Trilateral Research Initiative grant under the project “Scaling-up Indonesian Bioenergy Potential through Assessment of Wallacea{\textquoteright}s Plant Species: Data-Driven Energy Harvesting and Community-Centred Approach” and “Consolidating Data-Driven Wallacea{\textquoteright}s Forest Bioenergy Utilisation Route via Stakeholder Empowerment for Sustainable Forest Ecosystem.” Funding Information: This work was supported by the British Council COP26 Trilateral Research Initiative grant under the project “Scaling-up Indonesian Bioenergy Potential through Assessment of Wallacea{\textquoteright}s Plant Species: Data-Driven Energy Harvesting and Community-Centred Approach” and “Consolidating Data-Driven Wallacea{\textquoteright}s Forest Bioenergy Utilisation Route via Stakeholder Empowerment for Sustainable Forest Ecosystem.” TA acknowledged the support from the GB Sasakawa Foundation that facilitated the visit to The University of Tokyo. Publisher Copyright: {\textcopyright} 2023, The Author(s).",
year = "2023",
doi = "10.1007/s13399-023-04223-8",
language = "English",
journal = "Biomass Conversion and Biorefinery",
issn = "2190-6815",
publisher = "Springer",
}