| Author | Message | ||
     Tony Davies (td) Moderator Username: td Post Number: 179 Registered: 1-2001 |
Hello Manoja, It is very unlikely that you would find a wavelength that would discriminate old and new varieties. It is quite possible to use the whole of the NIT spectrum in a multivariate method and be successful. It depends on what software you have available but the method known as "SIMCA" is most likely to be available to you and might give you a good result. When you are calibrating the method, you will have to be clear that you know if samples are "old variety" or "new variety". If you are new to NIR spectroscopy you may need some more help. Keep asking questions! Best wishes, Tony | ||
| Jose Miguel Hernadez Hierro (jmhhierro) New member Username: jmhhierro Post Number: 4 Registered: 4-2008 |
Hello Manoj: A better way is use all wavelength (ie. DPLS model). You can develop a discriminant model with two classes, olds and news.It's a PLS with dummy variables. Best regards Jos� Miguel | ||
| Manoj Dinesh Oak (manojoak) New member Username: manojoak Post Number: 1 Registered: 7-2007 |
I scanned around 56 durum wheats from India, in this set few are red grain ones and few are yellow grain ones, 35 durum wheats are old varieties, they have different seed shape and size. I want to identify new and old varieties from NIT spectrum, how can detect the wavelength which one is useful for this kind of study. with best regards Manoj Oak |