Browsing School of Business and Management by Author "Efremova, N"
Now showing items 1-12 of 12
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AI for Sustainable Agriculture and Rangeland Monitoring
Efremova, N; Foley, JC; Unagaev, A; Karimi, R (2023-01-01)This paper examines the applications of artificial intelligence (AI) and satellite imagery in sustainable agriculture, that is, how to allocate resources across the farmland based on the monitoring results from satellite ... -
AI-based evaluation of the SDGs: The case of crop detection with earth observation data
Efremova, N; West, D; Zausaev, D (2019-07-05) -
BIOPHYSICAL PARAMETER ESTIMATION USING EARTH OBSERVATION DATA IN A MULTI-SENSOR DATA FUSION APPROACH: CYCLEGAN
Efremova, N; Erten, E (2021-01-01)Water management and up-to-date soil moisture (SM) information are crucial to ensure agricultural activities in dry-land farming regions. In this context, remote sensing imagery coupled with machine learning techniques can ... -
Exploring Factors Influencing Employees’ Adoption Of Artificial Intelligence: Evidence From China
Yuan, L; Zhou, X; Efremova, N; British Academy of Management Annual Conference 2023 (British Academy of Management, 2023-09-07)China’s issue with employees’ overtime has grown into the toxic ‘996’ culture which is significantly detrimental to employees’ performance, quality of life and organisational sustainable development. Artificial Intelligence ... -
Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks
Vaze, S; Foley, J; Seddiq, M; Unagaev, A; Efremova, N (2020-09-15)The analysis of satellite imagery will prove a crucial tool in the pursuit of sustainable development. While Convolutional Neural Networks (CNNs) have made large gains in natural image analysis, their application to ... -
Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks
Efremova, N; Zausaev, D; Antipov, G (2019-06-05) -
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework
Foley, CJ; Vaze, S; Seddiq, MEA; Unagaev, A; Efremova, N (2020-03-16)Soil moisture is critical component of crop health and monitoring it can enable further actions for increasing yield or preventing catastrophic die off. As climate change increases the likelihood of extreme weather events ... -
Soil Moisture Estimation Using Sentinel-1/-2 Imagery Coupled With CycleGAN for Time-Series Gap Filing
Efremova, N; Seddik, MEA; Erten, E (2022) -
Soil nitrogen forecasting from environmental variables provided by multisensor remote sensing images
Zhao, W; Efremova, N; 2024 IEEE International Geoscience and Remote Sensing Symposium -
Soil nitrogen forecasting from environmental variables provided by multisensor remote sensing images
Zhao, W; Efremova, N; ICLR 2024 -
Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network
Efremova, N; Weiying, Z; Neural Information Processing Systems (2023-12-08)Soil organic carbon (SOC) plays a pivotal role in the global carbon cycle, impacting climate dynamics and necessitating accurate estimation for sustainable land and agricultural management. While traditional methods of SOC ... -
Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network
Zhao, W; Efremova, N (2023-11-27)