An effective and adaptable K-means algorithm for big data cluster analysis
Tradition K-means clustering algorithm is easy to fall into local optimum, poor clustering
effect on large capacity data and uneven distribution of clustering centroids. To solve these …
effect on large capacity data and uneven distribution of clustering centroids. To solve these …
Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges
Managed aquifer recharge (MAR) replenishes groundwater by artificially entering water into
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …
subsurface aquifers. This technology improves water storage, reduces over-extraction, and …
Climate change and sustainability of crop yield in dry regions food insecurity
S Shayanmehr, S Rastegari Henneberry… - Sustainability, 2020 - mdpi.com
The main purpose of the study was to investigate the effects of climatic change on potato
yield and yield variability in Agro-Ecological Zones (AEZs) of Iran during 2041–2070 …
yield and yield variability in Agro-Ecological Zones (AEZs) of Iran during 2041–2070 …
Rainfed wheat (Triticum aestivum L.) yield prediction using economical, meteorological, and drought indicators through pooled panel data and statistical downscaling
N Salehnia, N Salehnia, AS Torshizi, S Kolsoumi - Ecological indicators, 2020 - Elsevier
Agriculture productions play significant roles in economic development. Extreme weather
events, especially drought under climate change conditions, can affect future crop …
events, especially drought under climate change conditions, can affect future crop …
Some non-uniformity patterns spread over the lower Mahanadi River Basin, India
Purpose The purpose of the study is to assess the non-uniformity in precipitation patterns
spread over the lower Mahanadi River basin (LMB). Methodology/approach …
spread over the lower Mahanadi River basin (LMB). Methodology/approach …
[HTML][HTML] Climate regionalization in Mato Grosso do Sul: a combination of hierarchical and non-hierarchical clustering analyses based on precipitation and temperature
A Souza, MC Abreu, JF de Oliveira-Júnior… - Brazilian Archives of …, 2022 - SciELO Brasil
HIGHLIGHTS Hierarchical cluster analysis was efficient in determining climatic areas. The
elbow method for the optimal number of clusters was the most suitable. Notch boxplot …
elbow method for the optimal number of clusters was the most suitable. Notch boxplot …
Environmental determination of spring wheat yield in a climatic transition zone under global warming
Understanding environmental determination of crop yield plays a critical role in agricultural.
management in resource-limited areas. The climatic transition zone was a naturally ideal …
management in resource-limited areas. The climatic transition zone was a naturally ideal …
A 3-D copula for risk analysis of meteorological drought in the Black Sea Region
Besides being a devastating and long-lasting disaster, a drought is an event that affects a
large area. It is essential to determine the duration, severity, and magnitude of the drought in …
large area. It is essential to determine the duration, severity, and magnitude of the drought in …
A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions
Bicycle sharing systems are becoming highly popular and there have accumulated a large
volume of users' trajectory data. In a bicycle sharing system, most users' borrowing and …
volume of users' trajectory data. In a bicycle sharing system, most users' borrowing and …
Fluctuation characteristics of wheat yield and their relationships with precipitation anomalies in Anhui province, China
Understanding the precipitation–yield relationships is crucial for evaluating the impacts of
climate variability on crop yield. As a north–south transitional zone and major wheat …
climate variability on crop yield. As a north–south transitional zone and major wheat …