[HTML][HTML] A systematic review of trustworthy artificial intelligence applications in natural disasters
AS Albahri, YL Khaleel, MA Habeeb, RD Ismael… - Computers and …, 2024 - Elsevier
Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …
management through the use of predictive models that analyze extensive datasets, identify …
[HTML][HTML] Revolutionizing the circular economy through new technologies: A new era of sustainable progress
E Sánchez-García, J Martínez-Falcó… - … Technology & Innovation, 2024 - Elsevier
Nowadays the pace of production and consumption is reaching environmentally
unsustainable levels. In this regard, the great technological advances developed in recent …
unsustainable levels. In this regard, the great technological advances developed in recent …
[HTML][HTML] Monitoring and predicting the influences of land use/land cover change on cropland characteristics and drought severity using remote sensing techniques
BE Taiwo, AA Kafy, AA Samuel, ZA Rahaman… - Environmental and …, 2023 - Elsevier
Abstract The Federal University of Technology at Akure (FUTA) in Nigeria is experiencing
ongoing development that is leading to the replacement of agricultural and forestry land …
ongoing development that is leading to the replacement of agricultural and forestry land …
Quantifying climate variability and regional anthropogenic influence on vegetation dynamics in northwest India
To explore the spatio-temporal dynamics and mechanisms underlying vegetation cover in
Haryana State, India, and implications thereof, we obtained MODIS EVI imagery together …
Haryana State, India, and implications thereof, we obtained MODIS EVI imagery together …
Future food production prediction using AROA based hybrid deep learning model in agri-sector
S Baswaraju, VU Maheswari, K Chennam… - Human-Centric …, 2023 - Springer
Policymaking and administration of national tactics of action for food security rely heavily on
advances in models for accurate estimation of food output. In several fields, including food …
advances in models for accurate estimation of food output. In several fields, including food …
Machine learning models development for accurate multi-months ahead drought forecasting: Case study of the Great Lakes, North America
The Great Lakes are critical freshwater sources, supporting millions of people, agriculture,
and ecosystems. However, climate change has worsened droughts, leading to significant …
and ecosystems. However, climate change has worsened droughts, leading to significant …
The COP27 screened through the lens of global water security
MC de Melo, LFS Fernandes, TCT Pissarra… - Science of the Total …, 2023 - Elsevier
Water security is an expression of resilience. In the recent past, scientists and public
organizations have built considerable work around this concept launched in 2013 by the …
organizations have built considerable work around this concept launched in 2013 by the …
Identification of influential weather parameters and seasonal drought prediction in Bangladesh using machine learning algorithm
Droughts pose a severe environmental risk in countries that rely heavily on agriculture,
resulting in heightened levels of concern regarding food security and livelihood …
resulting in heightened levels of concern regarding food security and livelihood …
Differential responses of crop yields to multi-timescale drought in mainland China: Spatiotemporal patterns and climate drivers
C Zhan, C Liang, L Zhao, S Jiang, Y Zhang - Science of the Total …, 2024 - Elsevier
Increasingly frequent and severe droughts pose a growing threat to food security in China.
However, our understanding of how different crops respond to multi-timescale drought under …
However, our understanding of how different crops respond to multi-timescale drought under …
State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas
Given the growing climate variability, quantifying droughts has gained significant
importance, particularly in agriculturally concentrated areas such as Iowa. This study …
importance, particularly in agriculturally concentrated areas such as Iowa. This study …