Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Y Himeur, B Rimal, A Tiwary, A Amira - Information Fusion, 2022 - Elsevier
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

[HTML][HTML] A review on beef cattle supplementation technologies

G Defalque, R Santos, M Pache, C Defalque - Information Processing in …, 2023 - Elsevier
The increase in the worldwide population reflects the expansion of beef cattle production
and exportation. Although pasture is the world's primary feed source of cattle food, failures in …

Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning

M Cheng, X Jiao, Y Liu, M Shao, X Yu, Y Bai… - Agricultural Water …, 2022 - Elsevier
An accurate in-field estimate of soil moisture content (SMC) is critical for precision irrigation
management. Current ground methods to measure SMC were limited by the disadvantages …

Spatial prediction of soil organic carbon using machine learning techniques in western Iran

H Mahmoudzadeh, HR Matinfar… - Geoderma …, 2020 - Elsevier
Estimation of soil organic carbon (SOC) is very useful for accurate monitoring of carbon
sequestration. However, there are still significant gaps in the knowledge of SOC reserves in …

Time series analysis for global land cover change monitoring: A comparison across sensors

L Xu, M Herold, NE Tsendbazar, D Masiliūnas… - Remote Sensing of …, 2022 - Elsevier
Comparing the performance of different satellite sensors in global land cover change (LCC)
monitoring is necessary to assess their potential and limitations for more accurate and …

Identification of groundwater resource zone in the active tectonic region of Himalaya through earth observatory techniques

SM Haque, S Kannaujiya, AK Taloor, D Keshri… - Groundwater for …, 2020 - Elsevier
The delineation of the groundwater resource (GWR) zone is one of the challenging tasks for
the research domain of hydrogeologists and decision makers. In this study, thematic …

Monitoring rice crop and yield estimation with Sentinel-2 data

J Soriano-González, E Angelats, M Martínez-Eixarch… - Field Crops …, 2022 - Elsevier
The future success of rice farming will lie in developing productive, sustainable, and resilient
farming systems in relation to coexistent ecosystems. Thus, accurate information on …

Biodiversity and ecosystem services mapping: Can it reconcile urban and protected area planning?

A González-García, I Palomo, JA González… - Science of The Total …, 2022 - Elsevier
Land-use changes, especially urbanization, have largely impacted the capacity of
ecosystems to deliver ecosystem services (ES) on which human wellbeing depends. The …

Bio-inspired hybridization of artificial neural networks: An application for mapping the spatial distribution of soil texture fractions

R Taghizadeh-Mehrjardi, M Emadi, A Cherati… - Remote Sensing, 2021 - mdpi.com
Soil texture and particle size fractions (PSFs) are a critical characteristic of soil that
influences most physical, chemical, and biological properties of soil; furthermore, reliable …

Remote sensing for mapping ecosystem services to support evaluation of ecological restoration interventions in an arid landscape

T del Río-Mena, L Willemen, GT Tesfamariam… - Ecological …, 2020 - Elsevier
Considerable efforts and resources are being invested in integrated conservation and
restoration interventions in rural arid areas. Empirical research for quantifying ecosystem …