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Soumyashree Kar
Soumyashree Kar
Data Scientist III, Roger F. Wicker Center for Ocean Enterprise, The University of Southern
Verified email at usm.edu - Homepage
Title
Cited by
Cited by
Year
Precision agriculture and unmanned aerial Vehicles (UAVs)
R Raj, S Kar, R Nandan, A Jagarlapudi
Unmanned aerial vehicle: Applications in agriculture and environment, 7-23, 2020
472020
Time series forecasting of univariate agrometeorological data: a comparative performance evaluation via one-step and multi-step ahead forecasting strategies
S Suradhaniwar, S Kar, SS Durbha, A Jagarlapudi
Sensors 21 (7), 2430, 2021
402021
Unmanned aerial vehicle: Applications in agriculture and environment
R Avtar, T Watanabe
Springer International Publishing, 2020
392020
Classification of river water pollution using Hyperion data
S Kar, VS Rathore, R Sharma, SK Swain
Journal of hydrology 537, 221-233, 2016
292016
An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data
S Kar, VK Purbey, S Suradhaniwar, LB Korbu, J Kholová, SS Durbha, ...
Computers and Electronics in Agriculture 182, 105992, 2021
242021
Automated discretization of ‘transpiration restriction to increasing VPD’features from outdoors high-throughput phenotyping data
S Kar, R Tanaka, LB Korbu, J Kholová, H Iwata, SS Durbha, ...
Plant methods 16, 1-20, 2020
212020
Geo-ICDTs: Principles and applications in agriculture
S Suradhaniwar, S Kar, R Nandan, R Raj, A Jagarlapudi
Geospatial technologies in land resources mapping, monitoring and management …, 2018
202018
Self-supervised learning improves agricultural pest classification
S Kar, K Nagasubramanian, D Elango, A Nair, DS Mueller, ME O’Neal, ...
AI for Agriculture and Food Systems, 2022
152022
SpaTemHTP: a data analysis pipeline for efficient processing and utilization of temporal High-throughput phenotyping data
S Kar, V Garin, J Kholová, V Vadez, SS Durbha, R Tanaka, H Iwata, ...
Frontiers in plant science 11, 552509, 2020
122020
Cyber-agricultural systems for crop breeding and sustainable production
S Sarkar, B Ganapathysubramanian, A Singh, F Fotouhi, S Kar, ...
Trends in plant science, 2023
102023
Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding
AW Herr, A Adak, ME Carroll, D Elango, S Kar, C Li, SE Jones, AH Carter, ...
Crop Science 63 (4), 1722-1749, 2023
102023
The Gulf of Mexico in trouble: Big data solutions to climate change science
V Sunkara, J McKenna, S Kar, I Iliev, DN Bernstein
Frontiers in Marine Science 10, 1075822, 2023
62023
Precision agriculture and unmanned aerial vehicles (UAVs). Unmanned aerial vehicle: Applications in agriculture and environment
R Raj, S Kar, R Nandan, A Jagarlapudi
Springer: Berlin, 2020
62020
Temporal analysis of Touzi parameters for wheat crop characterization using L-band AgriSAR 2006 data
S Kar, D Mandal, A Bhattacharya, J Adinarayana
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
52017
Root growth and water use pattern of groundnut at varying soil water regimes
S Sarkar, S Kar
Proceeding of the National Symposium on Principles of Soil water …, 2000
52000
Soil loss of nitrogen under rice.
DK Mandal, S Kar
41991
Improving data management and decision-making in precision agriculture
S Kar, R Nandan, R Raj, S Suradhaniwar, J Adinarayana
Improving data management and decision support systems in agriculture, 135-156, 2020
22020
Root sink evaluation of groundnut grown under stressed and non-stressed conditions
S Sarkar, S Kar
Journal of the Indian Society of Soil Science 42 (1), 126-128, 1994
21994
Self‐supervised learning improves classification of agriculturally important insect pests in plants
S Kar, K Nagasubramanian, D Elango, ME Carroll, CA Abel, A Nair, ...
The Plant Phenome Journal 6 (1), e20079, 2023
12023
Self-supervised agricultural insect pest classification
S Kar, K Nagasubramanian, D Elango, A Nair, D Mueller, M O’Neal, ...
Authorea Preprints, 2022
12022
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Articles 1–20