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Disambiguation of "Chinnusamy, Viswanathan"

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Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images.

, , , , , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 412-423. Springer, (2018)

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Viswanathan Ramaswami

Tamilselvi Chinnusamy

Viswanathan Subramanian

Kartik Viswanathan

Uma Maheswari Viswanathan

 

Other publications of authors with the same name

Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression., , , , , , , , , and 3 other author(s). Remote. Sens., 15 (23): 5496 (December 2023)Yield-SpikeSegNet: An Extension of SpikeSegNet Deep-Learning Approach for the Yield Estimation in the Wheat Using Visual Images., , , , , , , and . Appl. Artif. Intell., (December 2022)High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping., , , , and . ICIP, page 4058-4062. IEEE, (2022)Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes., , , , , , , , , and 1 other author(s). CoRR, (2020)Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images., , , , , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 412-423. Springer, (2018)Leaf Counting in Rice (Oryza Sativa L.) Using Object Detection: A Deep Learning Approach., , , , , , , and . IGARSS, page 5286-5289. IEEE, (2020)Web-SpikeSegNet: Deep Learning Framework for Recognition and Counting of Spikes From Visual Images of Wheat Plants., , , , , , , , , and 3 other author(s). IEEE Access, (2021)