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 …
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Agricultural research is essential for increasing food production to meet the needs of a
rapidly growing human population. Collecting large quantities of agricultural data helps to …
rapidly growing human population. Collecting large quantities of agricultural data helps to …
Yield estimation from SAR data using patch-based deep learning and machine learning techniques
This study demonstrates how the availability of frequent Synthetic Aperture Radar (SAR)
observations has transformed crop yield prediction, a critical component of food security and …
observations has transformed crop yield prediction, a critical component of food security and …
Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review
Rice is a staple food that feeds nearly half of the world's population. With the population of
our planet expected to keep growing, it is crucial to carry out accurate map**, monitoring …
our planet expected to keep growing, it is crucial to carry out accurate map**, monitoring …
Towards Scalable Within-Season Crop Map** With Phenology Normalization and Deep Learning
Crop-type map** using time-series remote sensing data is crucial for a wide range of
agricultural applications. Crop map** during the growing season is particularly critical in …
agricultural applications. Crop map** during the growing season is particularly critical in …
SAR and Optical Data Applied to Early-Season Map** of Integrated Crop–Livestock Systems Using Deep and Machine Learning Algorithms
Regenerative agricultural practices are a suitable path to feed the global population.
Integrated Crop–livestock systems (ICLSs) are key approaches once the area provides …
Integrated Crop–livestock systems (ICLSs) are key approaches once the area provides …
Advancements in remote sensing for invasive plant map** along the Guadiana River: The role of CNN2D
Remote sensing images are crucial for finding spatial and temporal patterns in vegetation.
The Guadiana river (located in South West Spain) has been invaded since the early 2000s …
The Guadiana river (located in South West Spain) has been invaded since the early 2000s …
Synthetic Aperture Radar in Vineyard Monitoring: Examples, Demonstrations, and Future Perspectives
Synthetic aperture radar (SAR) technology has emerged as a pivotal tool in viticulture,
offering unique capabilities for various applications. This study provides a comprehensive …
offering unique capabilities for various applications. This study provides a comprehensive …
[HTML][HTML] Adaptive high-quality sampling for winter wheat early map**: A novel cascade index and machine learning approach
Precise and timely map** of winter wheat is essential for food security. Current methods
are limited by insufficient training data and a lack of long-term early map** verification …
are limited by insufficient training data and a lack of long-term early map** verification …
PhenoCropNet: A phenology-aware-based SAR crop map** network for cloudy and rainy areas
Crop map** in a cloudy area is always a challenge due to the lack of time-series clear
optical satellite imagery. Making use of time-series synthetic aperture radar (SAR) imagery …
optical satellite imagery. Making use of time-series synthetic aperture radar (SAR) imagery …