A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction

M Rashid, BS Bari, Y Yusup, MA Kamaruddin… - IEEE …, 2021 - ieeexplore.ieee.org
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …

A review of recent progress of carbon capture, utilization, and storage (CCUS) in China

J Yao, H Han, Y Yang, Y Song, G Li - Applied Sciences, 2023 - mdpi.com
The continuous temperature rise has raised global concerns about CO2 emissions. As the
country with the largest CO2 emissions, China is facing the challenge of achieving large …

[HTML][HTML] Evidence of human influence on Northern Hemisphere snow loss

AR Gottlieb, JS Mankin - Nature, 2024 - nature.com
Documenting the rate, magnitude and causes of snow loss is essential to benchmark the
pace of climate change and to manage the differential water security risks of snowpack …

[CARTE][B] Habitat suitability and distribution models: with applications in R

A Guisan, W Thuiller, NE Zimmermann - 2017 - books.google.com
This book introduces the key stages of niche-based habitat suitability model building,
evaluation and prediction required for understanding and predicting future patterns of …

Random forests for global and regional crop yield predictions

JH Jeong, JP Resop, ND Mueller, DH Fleisher, K Yun… - PloS one, 2016 - journals.plos.org
Accurate predictions of crop yield are critical for develo** effective agricultural and food
policies at the regional and global scales. We evaluated a machine-learning method …

Accelerating extinction risk from climate change

MC Urban - Science, 2015 - science.org
Current predictions of extinction risks from climate change vary widely depending on the
specific assumptions and geographic and taxonomic focus of each study. I synthesized …

Assessing species vulnerability to climate change

M Pacifici, WB Foden, P Visconti, JEM Watson… - Nature climate …, 2015 - nature.com
The effects of climate change on biodiversity are increasingly well documented, and many
methods have been developed to assess species' vulnerability to climatic changes, both …

[HTML][HTML] Optimized Maxent Model Predictions of Climate Change Impacts on the Suitable Distribution of Cunninghamia lanceolata in China

Y Li, M Li, C Li, Z Liu - Forests, 2020 - mdpi.com
Climate change significantly influences changes in ecological phenomena and processes,
such as species distribution and phenology, thus accelerating the rate of species extinction …

Janet Franklin (with a contribution by Jennifer A. Miller): Map** species distributions: Spatial inference and prediction: Cambridge University Press, 2009, 320 pp …

SK Friedman - 2011 - Springer
The growth of data analysis techniques proceeds at astounding rates and it is often difficult
to maintain familiarity with its development. So too is the growth of sub-disciplines in …

Random forests for classification in ecology

DR Cutler, TC Edwards Jr, KH Beard, A Cutler… - Ecology, 2007 - Wiley Online Library
Classification procedures are some of the most widely used statistical methods in ecology.
Random forests (RF) is a new and powerful statistical classifier that is well established in …