I would like to develop a model to predict the flowering capacity or flower number and corm yield of a perennial crop such as tulip, and relationship between environmental factors and plant characteristics.
There already developed models i.e. DSSAT, APSIM, AQUACROP that you can freely download and calibrate for your crop. There should be good data set for that from site specific experiments
Thank you very much for your comments, But I don't want to use the already developed models. I would like to develop an independent model for the perennial plants for predict corm yield
I share the contributions made by other researchers. I would add that before starting with a model of cultivation you should define what you want to simulate ?, what are the key variables of interest? And how much adjustment does the model require? These points will guide you in which model to choose.
The crop model must be carefully calibrated and validated prior to its application. For this you need two data sets for a correct adjustment.
The first step is to collect the quality crop, soil data from a field experiment as well as the weather data near by field experiments. These data should be arranged as per crop model input and than calibrate the model first. The model after calibration must be validated with independent data set.
Ecological Modeling: A Common-Sense Approach to Theory and Practice (https://g.co/kgs/Ft5iae)
Working with Dynamic Crop Models (https://books.google.co.uk/books?id=llVwDwAAQBAJ&newbks=1&newbks_redir=0&lpg=PP1&dq=crop%20modelling%20book%20soil&pg=PP1#v=onepage&q=crop%20modelling%20book%20soil&f=false)
The first one is a very good and straightforward introduction to modeling.
The second is more advanced and gives you examples of modeling steps in R.