Hi Liujie_Zhang ,
Another Team handles the image processing , they have satellite images of an area throughout the year they extract for each parcel ( piece of land with visible barriers natural or man made ) the mean and the std of 10 different spectral bands  ( Green , IR etc … ) that gives 20 features for each parcel on a single date and the output is a the type of crop in that parcel [1…10] . I have now the 2016 data which consists of 23 dates i.e 23 * 20 = 460 features , I’ll be having soon the rest of the data from 2015 and 2017 , My question is what’s the best approach to have the best overall accuracy.
If you want more details just tell me and thank you.
Best Regards.