UAS-based remote sensing for agricultural Monitoring: Current status and perspectives
Timely and accurate acquisition of field crop growth and environmental information is
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
essential for effective and accurate crop management. Low-altitude unmanned aerial system …
Improving agricultural field parcel delineation with a dual branch spatiotemporal fusion network by integrating multimodal satellite data
Accurate spatial information for agricultural field parcels is important for agricultural
production management and understanding agro-industrialization and intensification …
production management and understanding agro-industrialization and intensification …
Improving field boundary delineation in ResUNets via adversarial deep learning
Field boundary data is often required to access digital agricultural services and tools that
assist with field-level assessment and monitoring. In addition, policy-makers and …
assist with field-level assessment and monitoring. In addition, policy-makers and …
Deep learning in cropland field identification: A review
The cropland field (CF) is the basic unit of agricultural production and a key element of
precision agriculture. High-precision delineations of CF boundaries provide a reliable data …
precision agriculture. High-precision delineations of CF boundaries provide a reliable data …
BSNet: Boundary-semantic-fusion network for farmland parcel mapping in high-resolution satellite images
W Shunying, Z Ya'nan, Y Xianzeng, F Li… - … and Electronics in …, 2023 - Elsevier
Mapping farmland parcels using satellite images is essential for agricultural remote sensing
applications. Loss of spatial details and positioning of parcel boundaries are the main …
applications. Loss of spatial details and positioning of parcel boundaries are the main …
E2EVAP: End-to-end vectorization of smallholder agricultural parcel boundaries from high-resolution remote sensing imagery
Rapid and accurate agricultural parcel mapping from high-resolution remote sensing
imagery is fundamental to precision agriculture for smallholder farming systems. However …
imagery is fundamental to precision agriculture for smallholder farming systems. However …
An adaptive image segmentation method with automatic selection of optimal scale for extracting cropland parcels in smallholder farming systems
Reliable cropland parcel data are vital for agricultural monitoring, yield estimation, and
agricultural intensification assessments. However, the inherently high landscape …
agricultural intensification assessments. However, the inherently high landscape …
TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series
Satellite image time series (SITS), such as Sentinel-2 imagery, plays a crucial role in the
delineation of agricultural fields by reducing the impacts of ambiguities due to the spatial …
delineation of agricultural fields by reducing the impacts of ambiguities due to the spatial …
Concept graph construction and applied research of agricultural remote sensing
Remote sensing technology in the new era gradually need a new scientific paradigm driven
by big data and knowledge. However, in the current research, the use of existing knowledge …
by big data and knowledge. However, in the current research, the use of existing knowledge …
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 …