Climate change impact, land suitability, coffee, Central America

Lara-Estrada, Leonel ORCID: https://orcid.org/0000-0002-6562-9497, Rasche, Livia and Schneider, Uwe A. (2021) Land in Central America will become less suitable for coffee cultivation under climate change. Regional Environmental Change, 21 (3):88. ISSN 1436-3798 (Print), 1436-378X (Online) (doi:10.1007/s10113-021-01803-0)

Farming planning, agricultural planning, estimating climate data, missing data, relative humidity, Bayesian network models, probabilistic graphical modeling

Lara-Estrada, Leonel ORCID: https://orcid.org/0000-0002-6562-9497, Rasche, Livia, Sucar, L. Enrique and Schneider, Uwe A. (2018) Inferring missing climate data for agricultural planning using Bayesian networks. Land, 7 (1):4. ISSN 2073-445X (Online) (doi:10.3390/land7010004)

Land evaluation for coffee production, farming planning, agricultural planning, Bayesian network models, probabilistic graphical modeling

Lara-Estrada, Leonel ORCID: https://orcid.org/0000-0002-6562-9497, Rasche, Livia and Schneider, Uwe A. (2017) Modeling land suitability for Coffea arabica L. in Central America. Environmental Modelling & Software, 95. pp. 196-209. ISSN 1364-8152 (doi:10.1016/j.envsoft.2017.06.028)

blossoming; flower; coffee phenology; Nicaragua

Lara-Estrada, Leonel ORCID: https://orcid.org/0000-0002-6562-9497, Sucar, Luis Enrique and Rasche, Livia (2023) Inferring multiple coffee flowerings in Central America using farmer data in a probabilistic model. Ecological Informatics, 79:102434. ISSN 1574-9541 (Print), 1878-0512 (Online) (doi:10.1016/j.ecoinf.2023.102434)

climate risk; climate suitability; coffee sustainability; ecological modeling; decision support tool; missing climate data

Lara-Estrada, Leonel ORCID: https://orcid.org/0000-0002-6562-9497, Rasche, Livia and Schneider, Uwe A. (2023) Exploring the cooling effect of shading for climate change adaptation in coffee areas. Climate Risk Management, 42:100562. pp. 1-12. ISSN 2212-0963 (Online) (doi:10.1016/j.crm.2023.100562)

coffee, yields, tropical agroforestry systems, coffee hybrids, coffee varieties

Bertrand, B., Alpizar, E., Lara, L. ORCID: https://orcid.org/0000-0002-6562-9497, SantaCreo, R., Hidalgo, M., Quijano, J.M., Montagnon, C., Georget, F. and Etienne, H. (2011) Performance of Coffea arabica F1 hybrids in agroforestry and full-sun cropping systems in comparison with American pure line cultivars. Euphytica, 181 (2). pp. 147-158. ISSN 0014-2336 (Print), 1573-5060 (Online) (doi:10.1007/s10681-011-0372-7)

probabilistic modelling; crop modelling; Nicaragua; uncertainty; expert knowledge; machine learning

Lara-Estrada, Leonel ORCID: https://orcid.org/0000-0002-6562-9497 and Sucar, Luis Enrique (2022) Using Bayesian networks to model flowering in coffee plantations in Central America. In: 16th Bayesian Modelling Applications Workshop (at the 38th Conference on Uncertainty in Artificial Intelligence - UAI), 5th Aug 2022, Eindhoven, The Netherlands. (In Press)