Zobrazeno 1 - 10 of 104 pro vyhledávání: '"Surya S Durbha"'
1
Akademický článek
Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests
Autor: Rajat C. Shinde, Surya S. Durbha
Publikováno v: Remote Sensing, Vol 15, Iss 5, p 1394 (2023)
LiDAR point clouds are characterized by high geometric and radiometric resolution and are therefore of great use for large-scale forest analysis. Although the analysis of 3D geometries and shapes has improved at different resolutions, processing larg
Externí odkaz: https://doaj.org/article/e04a1bfb40d547e7a45f2abece91948f
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2
Akademický článek
Automated discretization of ‘transpiration restriction to increasing VPD’ features from outdoors high-throughput phenotyping data
Autor: Soumyashree Kar, Ryokei Tanaka, Lijalem Balcha Korbu, Jana Kholová, Hiroyoshi Iwata, Surya S. Durbha, J. Adinarayana, Vincent Vadez
Publikováno v: Plant Methods, Vol 16, Iss 1, Pp 1-20 (2020)
Abstract Background Restricting transpiration under high vapor pressure deficit (VPD) is a promising water-saving trait for drought adaptation. However, it is often measured under controlled conditions and at very low throughput, unsuitable for breed
Externí odkaz: https://doaj.org/article/61bbbff9711d410fabbb8d0a8ef114c7
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3
Akademický článek
SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data
Autor: Soumyashree Kar, Vincent Garin, Jana Kholová, Vincent Vadez, Surya S. Durbha, Ryokei Tanaka, Hiroyoshi Iwata, Milan O. Urban, J. Adinarayana
Publikováno v: Frontiers in Plant Science, Vol 11 (2020)
The rapid development of phenotyping technologies over the last years gave the opportunity to study plant development over time. The treatment of the massive amount of data collected by high-throughput phenotyping (HTP) platforms is however an import
Externí odkaz: https://doaj.org/article/ff1a2e1e916d426ab63fb74ccda0c70e
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7
Akademický článek
Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies
Autor: Saurabh Suradhaniwar, Soumyashree Kar, Surya S. Durbha, Adinarayana Jagarlapudi
Publikováno v: Sensors, Vol 21, Iss 7, p 2430 (2021)
High-frequency monitoring of agrometeorological parameters is quintessential in the domain of Precision Agriculture (PA), where timeliness of collected observations and the ability to generate ahead-of-time predictions can substantially impact the cr
Externí odkaz: https://doaj.org/article/1dbeddea94d44f6392d1ceca37ebfe36
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8
Akademický článek
Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions
Autor: Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde
Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 1, p 32 (2021)
Earth Observation data possess tremendous potential in understanding the dynamics of our planet. We propose the Semantics-driven Remote Sensing Scene Understanding (Sem-RSSU) framework for rendering comprehensive grounded spatio-contextual scene desc
Externí odkaz: https://doaj.org/article/c0bbc444e4f74c4ba828aabb70806092
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