[HTML][HTML] Machine learning for spatial analyses in urban areas: a scoping review
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
and maintain social justice have been widely recognized. Along with the digitization …
Challenges and opportunities in remote sensing-based crop monitoring: A review
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 …
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
Globalization and interconnected supply chains have led to complex disruptions in global
value chains, caused by various factors such as natural disasters, climate events …
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 …
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.) …
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 …
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 …
change requires a comprehensive understanding of cropped areas, irrigation practices, and …
Advancing early warning capabilities with CHIRPS-compatible NCEP GEFS precipitation forecasts
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 …
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
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 …
of crop monitoring in agriculture. The successful fusion of technology and data is highly …
Enhancing FAIR data services in agricultural disaster: A review
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 …
to severe impacts on food security, economic stability, and rural livelihoods. The use of …