Unsupervised Multi-Scale Hybrid Feature Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images

Generating pixel-level annotations for semantic segmentation click here tasks of high-resolution remote sensing images is both time-consuming and labor-intensive, which has led to increased interest in unsupervised methods.Therefore, in this paper, we propose an unsupervised multi-scale hybrid feature extraction network based on the CNN-Transformer

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Solar Powered Automated Fertigation System (I-SIRAM)

The use of digital agriculture, sometimes known as smart farming or e-agriculture is the new frontier to empower the agriculture sector by infusing IR4.0 in agriculture.The emergence of IoT technology has contributed to bushranger awning the progress of intelligent farming from manual and conventional farming through trial and error to precision ag

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