Empowering agrifood system with artificial intelligence: A survey of the progress, challenges and opportunities

T Chen, L Lv, D Wang, J Zhang, Y Yang, Z Zhao… - ACM Computing …, 2024‏ - dl.acm.org
With the world population rapidly increasing, transforming our agrifood systems to be more
productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages …

[HTML][HTML] Tracking changes in aquaculture ponds on the China coast using 30 years of Landsat images

Y Duan, B Tian, X Li, D Liu, D Sengupta, Y Wang… - International Journal of …, 2021‏ - Elsevier
Although coastal aquaculture ponds provide high-quality fish protein for billions of people,
they are threatened by urbanization, pollution, and climate change. Moreover, colossal …

[HTML][HTML] Towards a comprehensive and consistent global aquatic land cover characterization framework addressing multiple user needs

P Xu, M Herold, NE Tsendbazar… - Remote Sensing of …, 2020‏ - Elsevier
Aquatic land cover represents the land cover type that is significantly influenced by the
presence of water over an extensive part of a year. Monitoring global aquatic land cover …

[HTML][HTML] Global map** of the landside clustering of aquaculture ponds from dense time-series 10 m Sentinel-2 images on Google Earth Engine

Z Wang, J Zhang, X Yang, C Huang, F Su, X Liu… - International Journal of …, 2022‏ - Elsevier
Spatial distribution information offers a valuable resource for the growing research on
evaluating and managing aquaculture and the mechanism of its interaction with the …

Extraction of Aquaculture Ponds along Coastal Region Using U2-Net Deep Learning Model from Remote Sensing Images

Z Zou, C Chen, Z Liu, Z Zhang, J Liang, H Chen… - Remote Sensing, 2022‏ - mdpi.com
The main challenge in extracting coastal aquaculture ponds is how to weaken the influence
of the “same-spectrum foreign objects” effect and how to improve the definition of the …

Detecting spatiotemporal changes of large-scale aquaculture ponds regions over 1988–2018 in Jiangsu Province, China using Google Earth Engine

Y Duan, X Li, L Zhang, W Liu, D Chen, H Ji - Ocean & Coastal …, 2020‏ - Elsevier
Although the aquaculture industry is a major supplier of aquatic products used as protein
sources for humans, the rapid expansion of aquaculture in recent decades has led to …

Remote sensing and computer vision for marine aquaculture

S Quaade, A Vallebueno, ODN Alcabes, KT Rodolfa… - Science …, 2024‏ - science.org
Aquaculture, the cultivation of aquatic plants and animals, has grown rapidly since the
1990s, but sparse, self-reported, and aggregated production data limit the effective …

Map** aquaculture areas with Multi-Source spectral and texture features: A case study in the pearl river basin (Guangdong), China

Y Xu, Z Hu, Y Zhang, J Wang, Y Yin, G Wu - Remote Sensing, 2021‏ - mdpi.com
Aquaculture has grown rapidly in the field of food industry in recent years; however, it
brought many environmental problems, such as water pollution and reclamations of lakes …

Long time-series map** and change detection of coastal zone land use based on google earth engine and multi-source data fusion

D Chen, Y Wang, Z Shen, J Liao, J Chen, S Sun - Remote Sensing, 2021‏ - mdpi.com
Human activities along with climate change have unsustainably changed the land use in
coastal zones. This has increased demands and challenges in map** and change …

Map** large-scale aquaculture ponds in Jiangsu Province, China: An automatic extraction framework based on Sentinel-1 time-series imagery

C Liu, J Xu, K Xu, J Yu - Aquaculture, 2024‏ - Elsevier
Aquaculture holds significant importance in supporting food security, economic
development, resource conservation, and ecological balance. However, the rapid expansion …