Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigated the potential of Vis/NIR spectroscopy and chemometrics to estimate N status of plant. Chemometrics was used as Vis/NIR spectroscopy analysis method to establish models to estimate N status of rapeseed and tea plant. In the research of rapeseed plant, a hybrid estimation model, artificial neural network (ANN) combined with partial least square regression (PLS) method, has been developed for diagnosis of nitrogen nutrition of rapeseed plant. 5 optimal PLS principal components re re selected as the input of BP neural network to establish the prediction model. The result shod that the prediction performance was excellent with r=0.95405, and the accuracy of prediction reached 95%. In the research of tea plant, PLS method was used to look for the fingerprint wavelengths (488, 695 and 931 nm). The PLS model for predicting the N status with r=0.908, SEP=0.21 and bias=0.138, shod an excellent prediction performance. Thus, it was concluded that chemometrics was a good tool for the spectroscopic estimation of plant N status based on Vis/NIRS.
['Chunhua Jin', 'Min Huang', 'Fei Liu', 'Yong He', 'Xiaoli Li']
I am writing a research paper on a idea Estimating Nitrogen Status of Plant by Vis/NIR Spectroscopy and Mathematical Model
[{"from": "human", "value": "I am writing a research paper on a idea Estimating Nitrogen Status of Plant by Vis/NIR Spectroscopy and Mathematical Model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  investigated the potential of Vis/NIR spectroscopy and chemometrics to estimate N status of plant. Chemometrics was used as Vis/NIR spectroscopy analysis method to establish models to estimate N status of rapeseed and tea plant. In the research of rapeseed plant, a hybrid estimation model, artificial neural network (ANN) combined with partial least square regression (PLS) method, has been developed for diagnosis of nitrogen nutrition of rapeseed plant. 5 optimal PLS principal components re re selected as the input of BP neural network to establish the prediction model. The result shod that the prediction performance was excellent with r=0.95405, and the accuracy of prediction reached 95%. In the research of tea plant, PLS method was used to look for the fingerprint wavelengths (488, 695 and 931 nm). The PLS model for predicting the N status with r=0.908, SEP=0.21 and bias=0.138, shod an excellent prediction performance. Thus, it was concluded that chemometrics was a good tool for the spectroscopic estimation of plant N status based on Vis/NIRS."}]