Abstract
Nitrogen is an essential nutrient for greenhouse-grown lettuce (Lactuca sativa L.); however, excessive nutrient availability causes disease and detrimental effects on the leaf and root development. In this study, nitrogen content of the lettuce leaves was estimated by determining the chlorophyll concentrations of the leaves using image processing technique. The Hoagland solution was used as a fertilizer in five different doses (control, quarter of the solution, half of the solution, standard solution, and two times more of the solution). Multilayer perceptron neural network (MLPNN) model was developed based on the red, green, and blue components of the color image captured to estimate chlorophyll content and chlorophyll concentration index (SPAD values). According to the obtained results, the MLPNN model was capable of estimating the lettuce leaf chlorophyll content with a reasonable accuracy. The coefficient of determination was 0.98, and mean square error was 0.006 in validation process.
Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 3
Claim · model-written summary
The neural network estimated lettuce leaf chlorophyll content with reasonable accuracy.
- Taxon
- lettuce
Lactuca sativae0 - Outcome
- lettuce leaf chlorophyll contente0
- Qualifier
- reasonable accuracye0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the MLPNN model was capable of estimating the lettuce leaf chlorophyll content with a reasonable accuracy”
Claim · model-written summary
The model had a validation coefficient of determination of 0.98.
- Taxon
- LettuceLactuca sativat0
- Outcome
- coefficient of determinatione0
- Value
- 0.98e0
- Qualifier
- validation processe0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The coefficient of determination was 0.98, and mean square error was 0.006 in validation process.”
t0“Lettuce”
Claim · model-written summary
The model had a validation mean square error of 0.006.
- Taxon
- LettuceLactuca sativat0
- Outcome
- mean square errore0
- Value
- 0.006e0
- Qualifier
- validation processe0
Not reportedComparator
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The coefficient of determination was 0.98, and mean square error was 0.006 in validation process.”
t0“Lettuce”