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Remote-sensing data and deep-learning techniques in crop map** and yield prediction: A systematic review
Reliable and timely crop-yield prediction and crop map** are crucial for food security and
decision making in the food industry and in agro-environmental management. The global …
decision making in the food industry and in agro-environmental management. The global …
Time-series pattern recognition in smart manufacturing systems: A literature review and ontology
Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …
[HTML][HTML] A robust index to extract paddy fields in cloudy regions from SAR time series
Timely and accurate map** of paddy rice cultivation is needed for maintaining sustainable
rice production, ensuring food security, and monitoring water usage. Synthetic Aperture …
rice production, ensuring food security, and monitoring water usage. Synthetic Aperture …
[HTML][HTML] A review of landcover classification with very-high resolution remotely sensed optical images—Analysis unit, model scalability and transferability
As an important application in remote sensing, landcover classification remains one of the
most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly …
most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly …
[HTML][HTML] A full resolution deep learning network for paddy rice map** using Landsat data
L ** world, and more than half of the
global population consumes it as a staple food. Map** the area of rice cultivation in a …
global population consumes it as a staple food. Map** the area of rice cultivation in a …
[HTML][HTML] Application of deep learning in multitemporal remote sensing image classification
X Cheng, Y Sun, W Zhang, Y Wang, X Cao, Y Wang - Remote Sensing, 2023 - mdpi.com
The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …
temporal resolution of remote sensing data. Multitemporal remote sensing image …
[HTML][HTML] Map** corn dynamics using limited but representative samples with adaptive strategies
Map** the corn dynamics at a large scale and multiple years is essential for global food
security. Traditional map** approaches by collecting training samples from field surveys …
security. Traditional map** approaches by collecting training samples from field surveys …
20 m Annual Paddy Rice Map for Mainland Southeast Asia Using Sentinel-1 SAR Data
C Sun, H Zhang, L Xu, J Ge, J Jiang… - Earth System Science …, 2022 - essd.copernicus.org
Over 90% of the world's rice is produced in the Asia-Pacific Region. Synthetic aperture radar
(SAR) enables all-day and all-weather observations of rice distribution in tropical and …
(SAR) enables all-day and all-weather observations of rice distribution in tropical and …
Review of synthetic aperture radar with deep learning in agricultural applications
Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …
schedule and not being affected by cloud cover and variations between day and night, have …
[HTML][HTML] Transferable deep learning model based on the phenological matching principle for map** crop extent
S Ge, J Zhang, Y Pan, Z Yang, S Zhu - International Journal of Applied …, 2021 - Elsevier
Accurate and timely crop map** is essential for global food security assessments;
however, conventional crop map** models are usually applicable to specific spatial or …
however, conventional crop map** models are usually applicable to specific spatial or …