Identification of nutrient deficiency in plants by artificial intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Agronomy and Crop Science,Physiology
Link
https://link.springer.com/content/pdf/10.1007/s11738-022-03363-0.pdf
Reference28 articles.
1. Abiodun OI et al (2018) State-of-the-art in artificial neural network applications: a survey. Heliyon 4(11):e00938. https://doi.org/10.1016/j.heliyon.2018.e00938
2. Aleksandrov V et al (2014) Deficiency of some nutrient elements in bean and maize plants analyzed by luminescent method. Bulg J Agric Sci 1:24–30
3. Amtmann A, Troufflard S, Armengaud P (2008) The effect of potassium nutrition on pest and disease resistance in plants. Physiol Plant 133(4):682–691. https://doi.org/10.1111/j.1399-3054.2008.01075.x
4. Carstensen A et al (2018) The impacts of phosphorus deficiency on the photosynthetic electron transport chain. Plant Physiol 177(1):271. https://doi.org/10.1104/pp.17.01624
5. Cetner MD et al (2017) Effects of nitrogen-deficiency on efficiency of light-harvesting apparatus in radish. Plant Physiol Biochem 119:81–92. https://doi.org/10.1016/j.plaphy.2017.08.016
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