Why APSIM (agriculture simulation model is consider as the best agriculture simulation modelling than other agriculture simulation models?

Does anyone know which crop modeling can simulate ozone effects on crop growth and development?

I have a distribution map produced with only presence data. And there is a certain number of presence data that is in no way included in the model. How can I evaluate the compatibility of the presence data not included in the model I have with the predictive values corresponding to these points in the potential distribution map? So we can also think like this: I have two columns. The first column has only 1 values, the second column has the predictive values. Which method would be the best approach to examine the relationship between these two columns?

Can anyone help me to analyse the multi-season data recorded in Factorial and Split design having 3 main and 4 Subplots. Does anybody have the R script or information regarding the arrangement of data?

Nowadays a lot of crop models are available. But generally speaking, farmers of poor countries are not getting benefited from these tools.

Which crop model is relatively better particularly for rainfed, subsistent farming dominated by smallholder farmers like the case in SSA (Africa South of Sahara)?

DSSAT

APSIM

AQUACROP

SWAT

CROPWAT

CROPSYS

CENTURY

EPIC

STICS

WOFOST

LEACHM

HERMES

INFOCROP

APEX

GENCALC

AGRICAB

DAISY

KLUM

RECORD

RZWQM

CLUM

INVEST

MIKESHE

BASINS

DAYCENT

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etc. (please add yours)!!!

Thank you all.

Alem

Hi. I am using soil data I extracted from the soil grid to use it to use on APSIM. I need to input no3 and nh4 in order to start the model however, I can only obtain the total N content from the soil grid. Are there any papers or formulas to estimate no3(ppm) and nh4(ppm) from total N content (g/kg)?

The aim of this forum is to share experience on crop modelling matters to seek help and assist researchers on the following aspects:

1) calibration approaches and issues

2) validation approaches and issues

3) usage of weather

4) usage of soil characteristics

5) algorithms interacting with weather, soil, crop, crop management

6) algorithms on plant mechanisms (example: phenology, source and sink balances etc.)

7) field to regional level modelling

8) crop and climate interaction modelling

9) crop model structure and parameters

10) limitations and improvements

11) new generation models

12) linking eco-physiological model and genetic (and genomic) models/research

13) anything related to crop modelling research

Please follow this discussion so that you can post your queries, advice and guide others and keep yourself updated on crop modelling research and look for collaborations.

Thank you

most often we measure the dynamics of co2 emission without recourse to the amount absorbed in the system.

so, i am working on how to lessen the burden of those absorbed by land, sea, vegetation from the gross co2. that is, grossCO2-absobedCO2=net co2.

I am looking for someone who is working on APISM modeling.

Hi everyone, i have seen many crop models like APSIM INFO CROP MODEL CERES-WHEAT and many more can you please suggest which is good just for wheat and rice what variable should we put ,please suggest me

Thank you