Review of synthetic aperture radar with deep learning in agricultural applications

MGZ Hashemi, E Jalilvand, H Alemohammad… - ISPRS Journal of …, 2024 - Elsevier
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 …

A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture

B Victor, A Nibali, Z He - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
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 …

Yield estimation from SAR data using patch-based deep learning and machine learning techniques

MGZ Hashemi, PN Tan, E Jalilvand, B Wilke… - … and Electronics in …, 2024 - Elsevier
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 …

Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review

M Fernández-Urrutia, M Arbelo, A Gil - Sensors, 2023 - mdpi.com
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 …

Towards Scalable Within-Season Crop Map** With Phenology Normalization and Deep Learning

Z Yang, C Diao, F Gao - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
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 …

SAR and Optical Data Applied to Early-Season Map** of Integrated Crop–Livestock Systems Using Deep and Machine Learning Algorithms

AP Toro, IT Bueno, JPS Werner, JFG Antunes… - Remote Sensing, 2023 - mdpi.com
Regenerative agricultural practices are a suitable path to feed the global population.
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

EC Rodríguez-Garlito, A Paz-Gallardo… - Future Generation …, 2024 - Elsevier
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 …

Synthetic Aperture Radar in Vineyard Monitoring: Examples, Demonstrations, and Future Perspectives

M Bakon, AC Teixeira, L Pádua, R Morais, J Papco… - Remote Sensing, 2024 - mdpi.com
Synthetic aperture radar (SAR) technology has emerged as a pivotal tool in viticulture,
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

Z Zhang, C Li, J Deng, J Chanussot, D Hong - Smart Agricultural …, 2025 - Elsevier
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 …

PhenoCropNet: A phenology-aware-based SAR crop map** network for cloudy and rainy areas

L Lei, X Wang, X Hu, L Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …