AIMC Topic: Remote Sensing Technology

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Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.

Scientific reports Feb 22, 2025
Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction. While current studies have primarily focused on detecting and counting crop plants during the early stages of low...
Remote Sensing Technology Crops, Agricultural Amorphophallus Unmanned Aerial Devices Image Processing, Computer-Assisted Agriculture Deep Learning
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Dissolved organic carbon estimation in lakes: Improving machine learning with data augmentation on fusion of multi-sensor remote sensing observations.

Water research Feb 21, 2025
This paper presents a novel approach for estimating Dissolved Organic Carbon (DOC) concentrations in lakes considering both carbon sources and sink operators. Despite the critical role of DOC, the combined application of machine learning, as a robust...
Machine Learning Maine Water Pollutants, Chemical Carbon Remote Sensing Technology Lakes Environmental Monitoring
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Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning.

Scientific reports Feb 20, 2025
Forest aboveground biomass (AGB) is a key indicator reflecting the function and quality of forest ecosystems, and accurate large-scale estimations of forest AGB are essential for effective forest ecosystem management. However, owing to limitations in...
Machine Learning Remote Sensing Technology Forests Satellite Imagery Biomass China Support Vector Machine Algorithms Ecosystem
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TGF-Net: Transformer and gist CNN fusion network for multi-modal remote sensing image classification.

PloS one Feb 19, 2025
In the field of earth sciences and remote exploration, the classification and identification of surface materials on earth have been a significant research area that poses considerable challenges in recent times. Although deep learning technology has...
Remote Sensing Technology Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Algorithms
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Change analysis of surface water clarity in the Persian Gulf and the Oman Sea by remote sensing data and an interpretable deep learning model.

Environmental science and pollution research international Feb 18, 2025
The health of an ecosystem and the quality of water can be determined by the clarity of the water. The Persian Gulf and Oman Sea have a unique ecosystem, and monitoring their water clarity is necessary for sustainable development. Here, various crite...
Seawater Salinity Chlorophyll A Oman Chlorophyll Indian Ocean Water Quality Environmental Monitoring Remote Sensing Technology Ecosystem Deep Learning
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SugarViT-Multi-objective regression of UAV images with Vision Transformers and Deep Label Distribution Learning demonstrated on disease severity prediction in sugar beet.

PloS one Feb 13, 2025
Remote sensing and artificial intelligence are pivotal technologies of precision agriculture nowadays. The efficient retrieval of large-scale field imagery combined with machine learning techniques shows success in various tasks like phenotyping, wee...
Beta vulgaris Unmanned Aerial Devices Remote Sensing Technology Plant Diseases Artificial Intelligence Deep Learning Image Processing, Computer-Assisted Machine Learning
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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan.

Scientific reports Feb 6, 2025
Sorghum cultivation plays a pivotal role in addressing food insecurity in South Sudan, but persistent conflict continues to impose challenges in the agriculture sector therefore understanding the impact of conflict on sorghum yield prediction is impo...
Agriculture Support Vector Machine Remote Sensing Technology Neural Networks, Computer Machine Learning Sorghum South Sudan
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Combining deep learning and machine learning techniques to track air pollution in relation to vegetation cover utilizing remotely sensed data.

Journal of environmental management Feb 5, 2025
The rapid urban expansion in Dhaka, the capital of Bangladesh, has escalated air pollution levels and led to a significant decrease in green spaces. This study employed machine learning (ML) and deep learning (DL) techniques to examine the relationsh...
Air Pollutants Remote Sensing Technology Particulate Matter Bangladesh Air Pollution Machine Learning Deep Learning Environmental Monitoring
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Integration of remote sensing and machine learning algorithm for agricultural drought early warning over Genale Dawa river basin, Ethiopia.

Environmental monitoring and assessment Feb 4, 2025
Drought remains a menace in the Horn of Africa; as a result, the Ethiopia's Genale Dawa River Basin is one of the most vulnerable to agricultural drought. Hence, this study integrates remote sensing and machine learning algorithm for early warning id...
Algorithms Agriculture Rivers Environmental Monitoring Satellite Imagery Droughts Neural Networks, Computer Ethiopia Machine Learning Remote Sensing Technology
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Pan-sharpening via Symmetric Multi-Scale Correction-Enhancement Transformers.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2025
Pan-sharpening is a widely employed technique for enhancing the quality and accuracy of remote sensing images, particularly in high-resolution image downstream tasks. However, existing deep-learning methods often neglect the self-similarity in remote...
Deep Learning Image Processing, Computer-Assisted Remote Sensing Technology Neural Networks, Computer Algorithms
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