[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 …

[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 …

Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives

S Materia, LP García, C van Straaten… - Wiley …, 2024 - Wiley Online Library
Extreme events such as heat waves and cold spells, droughts, heavy rain, and storms are
particularly challenging to predict accurately due to their rarity and chaotic nature, and …

[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 …

Quantifying climate variability and regional anthropogenic influence on vegetation dynamics in northwest India

A Banerjee, S Kang, ME Meadows, Z **a… - Environmental …, 2023 - Elsevier
To explore the spatio-temporal dynamics and mechanisms underlying vegetation cover in
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 …

Application of machine learning and emerging remote sensing techniques in hydrology: A state-of-the-art review and current research trends

A Saha, SC Pal - Journal of Hydrology, 2024 - Elsevier
Water, one of the most valuable resources on Earth, is the subject of the study of hydrology,
which is of utmost importance. Satellite remote sensing (RS) has emerged as a critical tool …

[HTML][HTML] Combing transfer learning with the OPtical TRApezoid Model (OPTRAM) to diagnosis small-scale field soil moisture from hyperspectral data

R Du, Y **ang, F Zhang, J Chen, H Shi, H Liu… - Agricultural Water …, 2024 - Elsevier
Accurate, timely, and continuous soil moisture information is helpful for crop stress diagnosis
and irrigation management decision. OPtical TRApezoid Model (OPTRAM) based on optical …