Conference paper
ASA, CSSA, SSSA International Annual Meeting, ASA-CSSA-SSSA, 2024
APA
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Lima, J. E., Bolouri, F., Awan, A. S., Pramanik, S., Sari-Sarraf, H., Caragea, D., … others. (2024). Soybean Phenotyping Under Irrigated and Drought Conditions: A Machine Learning Approach for Flower and Pod Counting. In ASA, CSSA, SSSA International Annual Meeting. ASA-CSSA-SSSA.
Chicago/Turabian
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Lima, Juliana Espindola, Farshad Bolouri, Amjad Sultan Awan, Swaraj Pramanik, Hamed Sari-Sarraf, Doina Caragea, Christopher Turner, et al. “Soybean Phenotyping Under Irrigated and Drought Conditions: A Machine Learning Approach for Flower and Pod Counting.” In ASA, CSSA, SSSA International Annual Meeting. ASA-CSSA-SSSA, 2024.
MLA
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Lima, Juliana Espindola, et al. “Soybean Phenotyping Under Irrigated and Drought Conditions: A Machine Learning Approach for Flower and Pod Counting.” ASA, CSSA, SSSA International Annual Meeting, ASA-CSSA-SSSA, 2024.
BibTeX Click to copy
@inproceedings{lima2024a,
title = {Soybean Phenotyping Under Irrigated and Drought Conditions: A Machine Learning Approach for Flower and Pod Counting},
year = {2024},
organization = {ASA-CSSA-SSSA},
author = {Lima, Juliana Espindola and Bolouri, Farshad and Awan, Amjad Sultan and Pramanik, Swaraj and Sari-Sarraf, Hamed and Caragea, Doina and Turner, Christopher and Dhandapani, Raju and Schapaugh, William T and Ahmad, Nazir and others},
booktitle = {ASA, CSSA, SSSA International Annual Meeting}
}