Items where Author is "Kar, S"

Columbia

Kar, S and Garin, V and Kholová, J and Vadez, V and Durbha, S S and Tanaka, R and Iwata, H and Urban, M O and Adinarayana, J (2020) SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data. Frontiers in Plant Science (TSI), 11 (552509). pp. 1-16. ISSN 1664-462X

Czech Republic

Pilloni, R and Aparna, K and Ghazzal, Z E and Kar, S and Hajjarpoor, A and Xue, W and Affortit, P and Ribière, W and Badji, R and Sine, B and Kholova, J and Tardieu, F and Vadez, V (2025) Large Variations in the Transpiration of Sorghum Canopies Under High Evaporative Demand Are Positively Related to Water Use Efficiency. Plant, Cell & Environment (TSI), 49 (3). pp. 1544-1560. ISSN 0140-7791

Ethiopia

Kar, S and Purbey, V K and Suradhaniwar, S and Korbu, L B and Kholova, J and Durbha, S S and Adinarayana, J and Vadez, V (2021) An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. Computers and Electronics in Agriculture (TSI), 182. ISSN 0168-1699

France

Pilloni, R and Aparna, K and Ghazzal, Z E and Kar, S and Hajjarpoor, A and Xue, W and Affortit, P and Ribière, W and Badji, R and Sine, B and Kholova, J and Tardieu, F and Vadez, V (2025) Large Variations in the Transpiration of Sorghum Canopies Under High Evaporative Demand Are Positively Related to Water Use Efficiency. Plant, Cell & Environment (TSI), 49 (3). pp. 1544-1560. ISSN 0140-7791

Kar, S and Purbey, V K and Suradhaniwar, S and Korbu, L B and Kholova, J and Durbha, S S and Adinarayana, J and Vadez, V (2021) An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. Computers and Electronics in Agriculture (TSI), 182. ISSN 0168-1699

Kar, S and Garin, V and Kholová, J and Vadez, V and Durbha, S S and Tanaka, R and Iwata, H and Urban, M O and Adinarayana, J (2020) SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data. Frontiers in Plant Science (TSI), 11 (552509). pp. 1-16. ISSN 1664-462X

India

Pilloni, R and Aparna, K and Ghazzal, Z E and Kar, S and Hajjarpoor, A and Xue, W and Affortit, P and Ribière, W and Badji, R and Sine, B and Kholova, J and Tardieu, F and Vadez, V (2025) Large Variations in the Transpiration of Sorghum Canopies Under High Evaporative Demand Are Positively Related to Water Use Efficiency. Plant, Cell & Environment (TSI), 49 (3). pp. 1544-1560. ISSN 0140-7791

Kar, S and Purbey, V K and Suradhaniwar, S and Korbu, L B and Kholova, J and Durbha, S S and Adinarayana, J and Vadez, V (2021) An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. Computers and Electronics in Agriculture (TSI), 182. ISSN 0168-1699

Kar, S and Garin, V and Kholová, J and Vadez, V and Durbha, S S and Tanaka, R and Iwata, H and Urban, M O and Adinarayana, J (2020) SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data. Frontiers in Plant Science (TSI), 11 (552509). pp. 1-16. ISSN 1664-462X

Japan

Kar, S and Garin, V and Kholová, J and Vadez, V and Durbha, S S and Tanaka, R and Iwata, H and Urban, M O and Adinarayana, J (2020) SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data. Frontiers in Plant Science (TSI), 11 (552509). pp. 1-16. ISSN 1664-462X