7 Papers
1 Citations
Naseeb Singh is an academic researcher from Guru Jambheshwar University of Science and Technology. The author has contributed to research in topics: Computer science & Convolutional neural network. The author has an hindex of 1, co-authored 2 publications.
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Papers
Semantic segmentation of in-field cotton bolls from the sky using deep convolutional neural networks
TL;DR: In this article , three fully convolutional neural networks (FCN) were used as encoders and trained to segment and discriminate the cotton bolls pixels from sky pixels.
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Optimization of irrigation timing for sprinkler irrigation system using convolutional neural network-based mobile application for sustainable agriculture
TL;DR: A convolutional neural network-based mobile application optimizes sprinkler irrigation timing, achieving 97.10% soil moisture class prediction accuracy, saving 27.59% water and 27.42% energy, and increasing water productivity by 32.75% compared to conventional sprinkler irrigation.
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Spectral library of crops and discrimination of major vegetables grown in the eastern Himalayan ecosystem: A proximal hyperspectral remote sensing approach
TL;DR: A portable spectroradiometer was used to create a spectral library of 28 vegetables grown in the eastern Himalayan ecosystem, identifying crop-specific sensitive wavebands and vegetation indices for discrimination and mapping, providing a reference for precision agriculture in the region.
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Classification of Broken Maize Kernels Using Artificial Neural Network-Assisted Image-Processing Approach
TL;DR: An intelligent seed quality assessment method based on the artificial neural network-assisted image-processing approach was proposed for the real-time classification of the broken maize kernels from the whole maize kernels and appears promising.
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