How can precision farming work on a small scale? A systematic literature review
T Mizik - Precision agriculture, 2023 - Springer
The agri-food industry faces a great challenge due to the growing global population. When
considering land scarcity, this can be solved only by a higher production efficiency …
considering land scarcity, this can be solved only by a higher production efficiency …
Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: A review
The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …
to increase agriculture production while reducing the amount of human labor. In agriculture …
A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction
Streamflow forecasting is critical for real-time water resources management and flood early
warning. In this study, we introduce a novel attention-based Long-Short Term Memory …
warning. In this study, we introduce a novel attention-based Long-Short Term Memory …
Geospatial-based machine learning techniques for land use and land cover map** using a high-resolution unmanned aerial vehicle image
Bangladesh is primarily an agricultural country where technological advancement in the
agricultural sector can ensure the acceleration of economic growth and ensure long-term …
agricultural sector can ensure the acceleration of economic growth and ensure long-term …
In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery
Cognitive cloud computing in space (3CS) describes a new frontier of space innovation
powered by Artificial Intelligence, enabling an explosion of new applications in observing …
powered by Artificial Intelligence, enabling an explosion of new applications in observing …
A deep learning classification approach using high spatial satellite images for detection of built-up areas in rural zones: Case study of Souss-Massa region-Morocco
The buildings in the rural areas of Morocco exist in various shapes and sizes. They are
randomly distributed and are generally constructed of primary materials such as clay, wood …
randomly distributed and are generally constructed of primary materials such as clay, wood …
Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation
Tropical montane forests (TMF) play a vital role in providing numerous ecosystem services.
This ecosystem is characterized by towering mountains, cold weather, tall trees such as …
This ecosystem is characterized by towering mountains, cold weather, tall trees such as …
A generalized framework for agricultural field delineation from high-resolution satellite imageries
Y Zhu, Y Pan, T Hu, D Zhang, C Zhao… - International Journal of …, 2024 - Taylor & Francis
Accurate digital data on agricultural fields are crucial for various agriculture applications.
While deep learning methods have shown promise in delineating fields from high-resolution …
While deep learning methods have shown promise in delineating fields from high-resolution …
The application of artificial intelligence models for food security: a review
R Sarku, UA Clemen, T Clemen - Agriculture, 2023 - mdpi.com
Emerging technologies associated with Artificial Intelligence (AI) have enabled
improvements in global food security situations. However, there is a limited understanding …
improvements in global food security situations. However, there is a limited understanding …
Hybrid Behrens-Fisher-and gray contrast–based feature point selection for building detection from satellite images
S Kokila, A Jayachandran - Journal of Geovisualization and Spatial …, 2023 - Springer
Over the past few years, satellite images have been one of the most influential and
paramount tools utilized by meteorologists since these images soothe forecasters with a …
paramount tools utilized by meteorologists since these images soothe forecasters with a …