Research on predicting photosynthetic pigments in tomato seedling leaves based on near-infrared hyperspectral imaging and machine learning
-
Published:2024-09
Issue:
Volume:204
Page:111076
-
ISSN:0026-265X
-
Container-title:Microchemical Journal
-
language:en
-
Short-container-title:Microchemical Journal
Author:
Huang BinshanORCID,
Li Songhao,
Long Teng,
Bai Shudai,
Zhao Jing,
Xu HaitaoORCID,
Lan Yubin,
Liu Houcheng,
Long YongbingORCID
Reference35 articles.
1. Optimal control of physiological processes of plants in a green plant factory;Morimoto;Control Eng. Pract.,1995
2. A review on monitoring and advanced control strategies for precision irrigation;Abioye;Comput. Electron. Agric.,2020
3. Review of optimum temperature, humidity, and vapour pressure deficit for microclimate evaluation and control in greenhouse cultivation of tomato: a review;Shamshiri;Int. Agrophys.,2018
4. V. Markovic, M. Djurovka, Z. Ilin, The effect of seedling quality on tomato yield, plant and fruit characteristics, in: I Balkan Symposium On Vegetables and Potatoes 462, 1996, pp. 163–170. doi:10.17660/actahortic.1997.462.21.
5. The relation between maximum rate of photosynthesis and concentration of chlorophyll;Emerson;J. Gen. Physiol.,1929
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献