Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia

M Habib-ur-Rahman, A Ahmad, A Raza… - Frontiers in Plant …, 2022 - frontiersin.org
Agricultural production is under threat due to climate change in food insecure regions,
especially in Asian countries. Various climate-driven extremes, ie, drought, heat waves …

High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms

X Jin, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

Development of wild and cultivated plants under global warming conditions

R Lippmann, S Babben, A Menger, C Delker, M Quint - Current Biology, 2019 - cell.com
Global warming is one of the most detrimental aspects of climate change, affecting plant
growth and development across the entire life cycle. This Review explores how different …

Monitoring nature's calendar from space: Emerging topics in land surface phenology and associated opportunities for science applications

X Ma, X Zhu, Q Xie, J Jin, Y Zhou, Y Luo… - Global change …, 2022 - Wiley Online Library
Vegetation phenology has been viewed as the nature's calendar and an integrative indicator
of plant‐climate interactions. The correct representation of vegetation phenology is important …

A global dataset of daily near-surface air temperature at 1-km resolution (2003–2020)

T Zhang, Y Zhou, K Zhao, Z Zhu, G Chen… - Earth System …, 2022 - essd.copernicus.org
Near-surface air temperature (Ta) is a key variable in global climate studies. A global
gridded dataset of daily maximum and minimum Ta (Tmax and Tmin) is particularly valuable …

The optimal threshold and vegetation index time series for retrieving crop phenology based on a modified dynamic threshold method

X Huang, J Liu, W Zhu, C Atzberger, Q Liu - Remote Sensing, 2019 - mdpi.com
Crop phenology is an important parameter for crop growth monitoring, yield prediction, and
growth simulation. The dynamic threshold method is widely used to retrieve vegetation …

The classification performance and mechanism of machine learning algorithms in winter wheat mapping using Sentinel-2 10 m resolution imagery

P Fang, X Zhang, P Wei, Y Wang, H Zhang, F Liu… - Applied Sciences, 2020 - mdpi.com
Featured Application Machine learning algorithms are essential to crop identification and
land use/cover. Our work indicates that compared to RF and CART algorithms, SVM …

Diverse responses of spring phenology to preseason drought and warming under different biomes in the North China Plain

S Ji, S Ren, Y Li, J Dong, L Wang, Q Quan… - Science of the Total …, 2021 - Elsevier
Global-change-type drought, a combination of drought and warmer temperatures, is
projected to have severe effects on vegetation growth and ecosystem functions. Spring …

[HTML][HTML] Impact of climate change on wheat yield and quality in the Yellow River Basin under RCP8. 5 during 2020–2050

XX Long, H Ju, JD Wang, SH Gong, GY Li - Advances in Climate Change …, 2022 - Elsevier
Studying the impact of future climate change on the yield and quality of wheat in the Yellow
River Basin (YRB) is both essential for rationalizing the utilization of climate resources and …

气候变化背景下安徽省冬小麦气候生产潜力和胁迫风险研究

卢燕宇, 孙维, 唐为安, 何冬燕, 邓汗青 - 中国生态农业学报(中英文), 2020 - ecoagri.ac.cn
从气候的资源和灾害双重属性出发, 构建了冬小麦气候生产潜力和胁迫风险评价指标,
以安徽省为例分析了二者对气候变化的响应特征, 综合气候对高产和稳产的影响进行研究区 …