Understanding deep learning in land use classification based on Sentinel-2 time series
The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is
rapidly increasing. DL techniques have provided excellent results in applications ranging …
rapidly increasing. DL techniques have provided excellent results in applications ranging …
Soil moisture estimation using Sentinel-1/-2 imagery coupled with cycleGAN for time-series gap filing
N Efremova, MEA Seddik… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Fast soil moisture content (SMC) mapping is necessary to support water resource
management and to understand crop growth, quality, and yield. Therefore, earth observation …
management and to understand crop growth, quality, and yield. Therefore, earth observation …
AI for sustainable agriculture and rangeland monitoring
N Efremova, JC Foley, A Unagaev, R Karimi - The Ethics of Artificial …, 2023 - Springer
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 …
sustainable agriculture, that is, how to allocate resources across the farmland based on the …
AHMoSe: A knowledge-based visual support system for selecting regression machine learning models
Decision support systems have become increasingly popular in the domain of agriculture.
With the development of automated machine learning, agricultural experts are now able to …
With the development of automated machine learning, agricultural experts are now able to …