[HTML][HTML] Machine learning for spatial analyses in urban areas: a scoping review

Y Casali, NY Aydin, T Comes - Sustainable cities and society, 2022 - Elsevier
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …

Challenges and opportunities in remote sensing-based crop monitoring: A review

B Wu, M Zhang, H Zeng, F Tian… - National Science …, 2023 - academic.oup.com
Building a more resilient food system for sustainable development and reducing uncertainty
in global food markets both require concurrent and near-real-time and reliable crop …

[HTML][HTML] Forecasting disruptions in global food value chains to tackle food insecurity: The role of AI and big data analytics–A bibliometric and scientometric analysis

P Tamasiga, H Onyeaka, M Bakwena… - Journal of Agriculture …, 2023 - Elsevier
Globalization and interconnected supply chains have led to complex disruptions in global
value chains, caused by various factors such as natural disasters, climate events …

[HTML][HTML] Transformative technologies in digital agriculture: Leveraging Internet of Things, remote sensing, and artificial intelligence for smart crop management

F Fuentes-Peñailillo, K Gutter, R Vega… - Journal of Sensor and …, 2024 - mdpi.com
This paper explores the potential of smart crop management based on the incorporation of
tools like digital agriculture, which considers current technological tools applied in …

Methodological evolution of potato yield prediction: a comprehensive review

Y Lin, S Li, S Duan, Y Ye, B Li, G Li, D Lyv… - Frontiers in Plant …, 2023 - frontiersin.org
Timely and accurate prediction of crop yield is essential for increasing crop production,
estimating planting insurance, and improving trade benefits. Potato (Solanum tuberosum L.) …

[HTML][HTML] Detecting the long-term spatiotemporal crop phenology changes in a highly fragmented agricultural landscape

B Sisheber, M Marshall, D Mengistu… - Agricultural and Forest …, 2023 - Elsevier
Trends in crop phenometrics reveal the influence of climate variability and change on crop
growth and development. However, the trends are less clear in fragmented tropical …

[HTML][HTML] WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping

K Van Tricht, J Degerickx, S Gilliams… - Earth System …, 2023 - essd.copernicus.org
The challenge of global food security in the face of population growth, conflict, and climate
change requires a comprehensive understanding of cropped areas, irrigation practices, and …

Advancing early warning capabilities with CHIRPS-compatible NCEP GEFS precipitation forecasts

L Harrison, M Landsfeld, G Husak, F Davenport… - Scientific Data, 2022 - nature.com
CHIRPS-GEFS is an operational data set that provides daily bias-corrected forecasts for next
1-day to~ 15-day precipitation totals and anomalies at a quasi-global 50-deg N to 50-deg S …

Technology and data fusion methods to enhance site-specific crop monitoring

U Ahmad, A Nasirahmadi, O Hensel, S Marino - Agronomy, 2022 - mdpi.com
Digital farming approach merges new technologies and sensor data to optimize the quality
of crop monitoring in agriculture. The successful fusion of technology and data is highly …

Enhancing FAIR data services in agricultural disaster: A review

L Hu, C Zhang, M Zhang, Y Shi, J Lu, Z Fang - Remote Sensing, 2023 - mdpi.com
The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …