Naomichi Fujiuchi, Kazue Inaba, Shinchu Oh, Sayaka Okajima, Yuichiro Asai, Hiroshige Nishina, Kotaro Takayama. Using a real-time photosynthesis and transpiration monitoring system to develop random forests models for predicting cherry tomato yield in a commercial greenhouse. Environmental Control in Biology. 2024. in press
S. Toda, T. Sakamoto, Y. Imai, R. Maruko, T. Kanoh, N. Fujiuchi, K. Takayama. Smartphone-based strawberry plant growth monitoring using YOLO. Acta Horticulturae. 2023. 1377. 69-76
N. Sakaguchi, M. Kitajima, Y. Usami, R. Oka, N. Fujiuchi, K. Takayama. In-store cultivation system preserves higher VOC emission of sweet basil leaves compared with conventional refrigerated storage. Acta Horticulturae. 2023. 1364. 1364. 1-10
S. Toda, T. Higuchi, T. Kanoh, T. Sakamoto, N.Fujiuchi, K. Takayama. Practical use of Deep Learning-Based Daily Stem Elongation Measurement of Tomato Plants in Two Commercial Greenhouses. IFAC-PapersOnLine. 2022. 55. 32. 113-118
Relationship between the tomato plants' population size for imaging and the calculated fruit density by AI-based object detection
(GreenSys2023 (International Symposium on New Technologies for Sustainable Greenhouse Systems) 2023)
Process-based crop model to evaluate stress on tomato plants and predict the fruit yield and quality
(GreenSys2023 (International Symposium on New Technologies for Sustainable Greenhouse Systems) 2023)