Estimation of Chlorophyll Concentration Index at Leaves using Artificial Neural Networks
2016 ◽
Vol 26
(02)
◽
pp. 1750026
◽
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In this study, the effectiveness of an SPAD-502 portable chlorophyll (Chl) meter was evaluated for estimating the Chl contents in leaves of some medicinal and aromatic plants. To predict the individual chlorophyll concentration indexes of St. John’s wort (Hypericum perforatum L.), mint (Mentha angustifolia L.), melissa (Melissa officinalis L.), thyme (Thymus sp.), and echinacea (Echinacea purpurea L.), models were developed using SPAD value. Multi-layer perceptron (MLP), adaptive neuro fuzzy inference system (ANFIS), and general regression neural network (GRNN) were used for determining the chlorophyll concentration indexes.
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2019 ◽
Vol 9
(6)
◽
pp. 5537
2018 ◽
Vol 7
(2)
◽
pp. 140
2017 ◽
Vol 3
(1)
◽
pp. 36-48
2017 ◽
Vol 10
(3)
◽
pp. 280
Keyword(s):
2018 ◽
2020 ◽
Vol 12
(1)
◽
pp. 6-17
Keyword(s):
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