Monitoring system in plant factories for automated mass data labeling of diseased plant

Emiko Hatsugai; Haruo Morohashi; Yoshifumi Fujimoto; Masato Kumauchi; Kunihiro Murai; Ikuko Shimizu

doi:10.1117/12.3019966

2 May 2024 Monitoring system in plant factories for automated mass data labeling of diseased plant

Emiko Hatsugai, Haruo Morohashi, Yoshifumi Fujimoto, Masato Kumauchi, Kunihiro Murai, Ikuko Shimizu

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 1316437 (2024) https://doi.org/10.1117/12.3019966
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

Achieving SDGs (Sustainable Development Goals) such as “13: Climate action” and “15. Life on land” related to the agricultural sector is the foundation for other goals for realizing a sustainable society. As shown in the SDGs Wedding Cake model, development of the agricultural sector is essential to achieving other goals. On the other hand, analyzing crop health and deciding on appropriate environmental conditions still relies heavily on the intuition and experience of crop managers. Since data-driven cultivation has the potential to revolutionize agriculture, this study focuses on automating the labeling of mass data to improve the optimization of cultivation conditions. We propose a monitoring system for automated labeling of diseased plants for the lettuce plant factories.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Emiko Hatsugai, Haruo Morohashi, Yoshifumi Fujimoto, Masato Kumauchi, Kunihiro Murai, and Ikuko Shimizu "Monitoring system in plant factories for automated mass data labeling of diseased plant", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 1316437 (2 May 2024); https://doi.org/10.1117/12.3019966

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