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Remote sensing and machine learning for prediction of wheat growth in precision agriculture applications
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Automatic CNN channel selection and effective detection on face and rotated aerial objects
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Multi-modality feature fusion and unsupervised hyperspectral band selection for effective classification of remote sensing images
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Design and implementation of IoT enabled generic platform for precision livestock farming and applications
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