Delineation of cultivated land parcels based on deep convolutional networks and geographical thematic scene division of remotely sensed images

L Xu, D Ming, T Du, Y Chen, D Dong, C Zhou - Computers and Electronics …, 2022 - Elsevier
Extraction of cultivated land information from high spatial resolution remote sensing images
is increasingly becoming an important approach to digitization and informatization in …

Advanced fully convolutional networks for agricultural field boundary detection

A Taravat, MP Wagner, R Bonifacio, D Petit - Remote sensing, 2021 - mdpi.com
Accurate spatial information of agricultural fields is important for providing actionable
information to farmers, managers, and policymakers. On the other hand, the automated …

Deep learning for automatic outlining agricultural parcels: Exploiting the land parcel identification system

A Garcia-Pedrero, M Lillo-Saavedra… - IEEE …, 2019 - ieeexplore.ieee.org
Accurate and up-to-date information on the spatial and geographical characteristics of
agricultural areas is an indispensable value for the various activities related to agriculture …

Exploring the potential of multi-temporal crop canopy models and vegetation indices from pleiades imagery for yield estimation

D Dimov, P Noack - Remote Sensing, 2023 - mdpi.com
In this paper, we demonstrate the capabilities of Pleiades-1a imagery for very high
resolution (VHR) crop yield estimation by utilizing the predictor variables from the horizontal …

RBP-MTL: Agricultural Parcel Vectorization via Region-Boundary-Parcel Decoupled Multitask Learning

Y Pan, X Wang, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Agricultural parcel vectorization is important for precision agriculture when analyzing crops
at the parcel scale. However, it is a challenging task to vectorize parcels from satellite …

Crowd-driven and automated mapping of field boundaries in highly fragmented agricultural landscapes of Ethiopia with very high spatial resolution imagery

M Marshall, S Crommelinck, D Kohli, C Perger… - Remote sensing, 2019 - mdpi.com
Mapping the extent and location of field boundaries is critical to food security analysis but
remains problematic in the Global South where such information is needed the most. The …

Hierarchical extraction of cropland boundaries using Sentinel-2 time-series data in fragmented agricultural landscapes

W Song, C Wang, T Dong, Z Wang, C Wang… - … and Electronics in …, 2023 - Elsevier
Accurately extracting cropland field parcels from satellite data in fragmented agricultural
landscapes presents huge challenges due to small field sizes and irregular field shapes …

Parcs: A deployment-oriented ai system for robust parcel-level cropland segmentation of satellite images

C Du, Y Wang, Z Yang, H Zhou, M Han… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Cropland segmentation of satellite images is an essential basis for crop area and yield
estimation tasks in the remote sensing and computer vision interdisciplinary community …

Small, sparse, but substantial: techniques for segmenting small agricultural fields using sparse ground data

S Marvaniya, U Devi, J Hazra… - International journal of …, 2021 - Taylor & Francis
The recent thrust on digital agriculture (DA) has renewed significant research interest in the
automated delineation of agricultural fields. Most prior work addressing this problem has …

Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results

E Nascimento, J Just, J Almeida… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
In precision agriculture, detecting productive crop fields is an essential practice that allows
the farmer to evaluate operating performance separately and compare different seed …