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Remote sensing in agriculture—accomplishments, limitations, and opportunities
Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early
warning system, allowing the agricultural community to intervene early on to counter …
warning system, allowing the agricultural community to intervene early on to counter …
Short-term traffic flow prediction for urban road sections based on time series analysis and LSTM_BILSTM method
C Ma, G Dai, J Zhou - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The real-time performance and accuracy of traffic flow prediction directly affect the efficiency
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …
Road network traffic flow prediction: A personalized federated learning method based on client reputation
Accurate traffic flow prediction can provide effective decision-making support for traffic
management, alleviate traffic congestion, and improve road traffic efficiency. Traffic flow data …
management, alleviate traffic congestion, and improve road traffic efficiency. Traffic flow data …
[HTML][HTML] Evaluation of food security based on remote sensing data—Taking Egypt as an example
S Shi, Y Ye, R **ao - Remote Sensing, 2022 - mdpi.com
Egypt, a country with a harsh natural environment and rapid population growth, is facing
difficulty in ensuring its national food security. A novel model developed for assessing food …
difficulty in ensuring its national food security. A novel model developed for assessing food …
Machine learning-based crop recognition from aerial remote sensing imagery
Y Tian, C Yang, W Huang, J Tang, X Li… - Frontiers of Earth Science, 2021 - Springer
Timely and accurate acquisition of crop distribution and planting area information is
important for making agricultural planning and management decisions. This study employed …
important for making agricultural planning and management decisions. This study employed …
[PDF][PDF] A Review on Classification of Land Use/Land Cover change assessment based on the Normalized Difference Vegetation Index
A Somayajula, VA Kiranmai, D Ghai… - ournal of Critical …, 2020 - researchgate.net
Land cover is more effected spatially and temporarily based on land use changes.
Depending on increasing demands of population growth, changes in Land Use/Land Cover …
Depending on increasing demands of population growth, changes in Land Use/Land Cover …
Investigation on the use of ensemble learning and big data in crop identification
The agriculture sector in Egypt faces several problems, such as climate change, water
storage, and yield variability. The comprehensive capabilities of Big Data (BD) can help in …
storage, and yield variability. The comprehensive capabilities of Big Data (BD) can help in …
Fuzzy machine learning model for class-based flood damage assessment from planetscope temporal data
AP Sarathamani, A Kumar - Journal of Applied Remote …, 2024 - spiedigitallibrary.org
Natural disasters are calamitous events with causes and effects that need to be examined.
Among them, floods are one of the most devastating natural disasters that demand constant …
Among them, floods are one of the most devastating natural disasters that demand constant …
[HTML][HTML] Characterising the land surface phenology of middle eastern countries using moderate resolution landsat data
Global change impacts including climate change, increased CO2 and nitrogen deposition
can be determined through a more precise characterisation of Land Surface Phenology …
can be determined through a more precise characterisation of Land Surface Phenology …
Pattern‐based calibration of cellular automata by genetic algorithm and Shannon relative entropy
While cellular automata (CA) are considered an effective algorithm to model urban growth,
their precise calibration can be challenging. The Shannon relative index (SRI) is an indicator …
their precise calibration can be challenging. The Shannon relative index (SRI) is an indicator …