Cai, W., Qi, F., Zha, L., Chen, G., Zhang, J., Song, M., & Bao, H. (2026). Few-shot and interpretable agentic framework based on large language models for data-efficient plant phenotyping. Computers & Electronics in Agriculture, 243, N.PAG. https://doi.org/10.1016/j.compag.2025.111382
Chicago Style (17th ed.) CitationCai, Wenyi, Fubo Qi, Lingyan Zha, Guanzheng Chen, Jingjin Zhang, Mengxuan Song, and Hua Bao. "Few-shot and Interpretable Agentic Framework Based on Large Language Models for Data-efficient Plant Phenotyping." Computers & Electronics in Agriculture 243 (2026): N.PAG. https://doi.org/10.1016/j.compag.2025.111382.
MLA (9th ed.) CitationCai, Wenyi, et al. "Few-shot and Interpretable Agentic Framework Based on Large Language Models for Data-efficient Plant Phenotyping." Computers & Electronics in Agriculture, vol. 243, 2026, p. N.PAG, https://doi.org/10.1016/j.compag.2025.111382.