Fetching the paper…
Reading the bibliography…
Crop field boundaries are foundational datasets for agricultural monitoring and assessments but are expensive to collect manually.
U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
Earlier work this paper cites.
A generalized computer vision approach to mapping crop fields in heterogeneous agricultural landscapes
Debats, S. R.; Luo, D.; Estes, L. D.; Fuchs, T. J.; and Caylor, K. K. 2016 · 2016
Earlier work this paper cites.
Mask R-CNN
He, K.; Gkioxari, G.; Dollár, P.; and Girshick, R. 2017 · 2017
Earlier work this paper cites.
Brazil’s national environmental registry of rural properties: implications for livelihoods
Jung, S.; Rasmussen, L. V.; Watkins, C.; Newton, P.; and Agrawal, A. 2017 · 2017
Earlier work this paper cites.
Present and future Köppen-Geiger climate classification maps at 1-km resolution
Beck, H. E.; Zimmermann, N. E.; McVicar, T. R.; Vergopolan, N.; Berg, A.; and Wood, E. F. 2018 · 2018
Earlier work this paper cites.
Encoder-decoder with atrous separable convolution for semantic image segmentation
Chen, L.-C.; Zhu, Y.; Papandreou, G.; Schroff, F.; and Adam, H. 2018 · 2018
Earlier work this paper cites.
LEM+ dataset: for agricultural remote sensing applications
Oldoni, L. V.; Sanches, I. D.; Picoli, M. C. A.; Covre, R. M.; and Fronza, J. G. 2020 · 2020
Earlier work this paper cites.
Agricultural parcel containing spatial data
Finnish Food Authority. 2021 · 2021
Earlier work this paper cites.
From village to globe: A dynamic real-time map of African fields through PlantVillage
Kehs, A.; McCloskey, P.; Chelal, J.; Morr, D.; Amakove, S.; Plimo, B.; Mayieka, J.; Ntango, G.; Nyongesa, K.; Pamba, L.; et al. 2021 · 2021
Earlier work this paper cites.
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space
Kondmann, L.; Toker, A.; Rußwurm, M.; Camero, A.; Peressuti, D.; Milcinski, G.; Mathieu, P.-P.; Longépé, N.; Davis, T.; Marchisio, G.; et al. 2021 · 2021
Earlier work this paper cites.
LandbrugsGIS
Ministry of Food, Agriculture and Fisheries of Denmark. 2021 · 2021
Earlier work this paper cites.
Dataset: Basic registration Crop plots (BRP)
Netherlands Enterprise Agency (Government). 2021 · 2021
Earlier work this paper cites.
A Fusion Dataset for Crop Type Classification in Western Cape, South Africa (Version 1.0)
Planet; Foundation, R. E.; of Agriculture, W. C. D.; and (DLR), G. A. C. 2021 · 2021
Earlier work this paper cites.
AI4FoodSecurity Challenge
Planet, TUM, DLR and Radiant Earth. 2021 · 2021
Earlier work this paper cites.
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Sainte Fare Garnot, V.; and Landrieu, L. 2021 · 2021
Earlier work this paper cites.
Advanced fully convolutional networks for agricultural field boundary detection
Taravat, A.; Wagner, M. P.; Bonifacio, R.; and Petit, D. 2021 · 2021
Cited alongside, same era.
SatMAE: Pre-training transformers for temporal and multi-spectral satellite imagery
Cong, Y.; Khanna, S.; Meng, C.; Liu, P.; Rozi, E.; He, Y.; Burke, M.; Lobell, D.; and Ermon, S. 2022 · 2022
Cited alongside, same era.
High resolution, annual maps of field boundaries for smallholder-dominated croplands at national scales
Estes, L. D.; Ye, S.; Song, L.; Luo, B.; Eastman, J. R.; Meng, Z.; Zhang, Q.; McRitchie, D.; Debats, S. R.; Muhando, J.; et al. 2022 · 2022
Cited alongside, same era.
Multi-modal temporal attention models for crop mapping from satellite time series
Garnot, V. S. F.; Landrieu, L.; and Chehata, N. 2022 · 2022
Cited alongside, same era.
microsoft/PlanetaryComputer: October 2022
Microsoft Open Source; McFarland, M.; Emanuele, R.; Morris, D.; and Augspurger, T. 2022 · 2022
Cited alongside, same era.
Lightweight, pre-trained transformers for remote sensing timeseries
Tseng, G.; Cartuyvels, R.; Zvonkov, I.; Purohit, M.; Rolnick, D.; and Kerner, H. 2023 · 2023
Later among the works it cites.
10,000 crop field boundaries across India
Wang, S.; Waldner, F.; and Lobell, D. B. 2023 · 2023
Later among the works it cites.
Flik Plot Repository - Open Data
Administration of technical agricultural services. 2024 · 2024
Closest in time.
Agency for Payments in Agriculture, Fisheries and Rural Development
ARKOD. 2024 · 2024
Closest in time.
Regulation (EU) 2023/1115 on Deforestation-free Products
European Parliament; and Council of the European Union. 2023 · 2024
Closest in time.
Field Boundaries for Agriculture (fiboa) specification
fiboa contributors. 2024 · 2024
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Bird’s Eye
Pula Advisors. 2022 · 2022
Cited alongside, same era.
EuroCrops
Schneider, M.; and Körner, M. 2022 · 2022
Cited alongside, same era.
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
Wang, S.; Waldner, F.; and Lobell, D. B. 2022 · 2022
Cited alongside, same era.
AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography
d’Andrimont, R.; Claverie, M.; Kempeneers, P.; Muraro, D.; Yordanov, M.; Peressutti, D.; Batič, M.; and Waldner, F. 2023 · 2023
Cited alongside, same era.
Kirillov, A.; Mintun, E.; Ravi, N.; Mao, H.; Rolland, C.; Gustafson, L.; Xiao, T.; Whitehead, S.; Berg, A. C.; Lo, W.-Y.; Dollár, P.; and Girshick, R. 2023 · 2023
Cited alongside, same era.
Considerations for AI-EO for agriculture in Sub-Saharan Africa
Nakalembe, C.; and Kerner, H. 2023 · 2023
Cited alongside, same era.
AI4SmallFarms: A Data Set for Crop Field Delineation in Southeast Asian Smallholder Farms
Persello, C.; Grift, J.; Fan, X.; Paris, C.; Hänsch, R.; Koeva, M.; and Nelson, A. 2023 · 2023
Cited alongside, same era.
Closest in time.
GloCAB cropland field boundary dataset
Hall, J. V.; Argueta, F.; and Giglio, L. 2024 · 2024
Closest in time.
Sistema de Informação de Parcelas
Instituto de Financiamento da Agricultura e Pescas. 2024 · 2024
Closest in time.
Rwanda Field Boundary Competition
NASA Harvest and Radiant Earth Foundation. 2024 · 2024
Closest in time.
Position: Mission Critical–Satellite Data is a Distinct Modality in Machine Learning
Rolf, E.; Klemmer, K.; Robinson, C.; and Kerner, H. 2024 · 2024
Closest in time.
Spatial Data and Services
Slovak Republic Government. 2024 · 2024
Closest in time.
The Graphical Parcel Register (Registre parcellaire graphique (RPG)
The Service and Payment Agency (ASP). 2024 · 2024
Closest in time.
Agricultural block
The Swedish Agency for Agriculture. 2024 · 2024
Closest in time.
Crop Calendar
USDA Foreign Agricultural Service. 2024 · 2024
Closest in time.