Habitat suitability estimation using a two-stage ensemble approach
Biodiversity conservation is important for the protection of ecosystems. One key task for
sustainable biodiversity conservation is to effectively preserve species' habitats. However …
sustainable biodiversity conservation is to effectively preserve species' habitats. However …
A robust prediction model for species distribution using bagging ensembles with deep neural networks
Species distribution models have been used for various purposes, such as conserving
species, discovering potential habitats, and obtaining evolutionary insights by predicting …
species, discovering potential habitats, and obtaining evolutionary insights by predicting …
Multispecies deep learning using citizen science data produces more informative plant community models
In the age of big data, scientific progress is fundamentally limited by our capacity to extract
critical information. Here, we map fine-grained spatiotemporal distributions for thousands of …
critical information. Here, we map fine-grained spatiotemporal distributions for thousands of …
Integrating remote sensing and machine learning for regional-scale habitat mapping: advances and future challenges for desert locust monitoring
K Rhodes, V Sagan - IEEE Geoscience and Remote Sensing …, 2021 - ieeexplore.ieee.org
Increased access to reliable data and computationally efficient systems has created more
collaborative potential between remote sensing and machine learning for species habitat …
collaborative potential between remote sensing and machine learning for species habitat …
Rank-based deep learning from citizen-science data to model plant communities
In the age of big data, scientific progress is fundamentally limited by our capacity to extract
critical information. We show that recasting multispecies distribution modeling as a ranking …
critical information. We show that recasting multispecies distribution modeling as a ranking …
Comparison of different models in predicting habitat suitability of rare species in Uzbekistan: 8 rare Tulipa species case-study
K Rustamov - bioRxiv, 2022 - biorxiv.org
Species distribution models (SDMs) have become an essential tool in conservational
biology, biogeography and ecology. But there is no consequence in what SDM method is …
biology, biogeography and ecology. But there is no consequence in what SDM method is …
Modeling abiotic niches of crops and wild ancestors using deep learning: A generalized approach
WG Hulleman, RA Vos - BioRxiv, 2019 - biorxiv.org
Introduction Understanding what interactions and environmental factors shape the
geographic distribution of species is one of the fundamental questions in ecology and …
geographic distribution of species is one of the fundamental questions in ecology and …
ARTIFICIAL INTELLIGENCE APPLIED TO AGROECOLOGY: A MODEL FOR BRAZILIAN TERRITORY
MA Sasso, PDP Costa - 2021 ASABE Annual International Virtual …, 2021 - elibrary.asabe.org
Despite playing an essential role in the Brazilian economy, traditional agriculture generally
leads to several environmental problems because it stimulates deforestation, pollutes rivers …
leads to several environmental problems because it stimulates deforestation, pollutes rivers …