I have past agricultural dataset containing soil fertility, crop planted, and fertilizer applied and yield obtained. I am trying to recommend to a farmer appropriate crop and fertilizer to be used for high yield production based on his soil fertility which is also to be predicted from soil dataset. Is it possible to use apriori algorithm and if possible can someone help me with some tips on how to go about it.
thanks
For recommending farmers the fertilizer use for some crops,we need already existing soil test crop response correlation and calibration information in a particular area.Otherwise, one has to establish new soil test crop response correlation and calibration information system.For different plant nutrients we need to identify suitable extractants to estimate plant- avaialbe soil nutrients.We also need crop response data for individual nutrients for a particular crop.Then one has to correlate the soil tests with crop response.After that soil test is calibrated with crop response to added nutrients to predict crop response to added nutrient.Then one has to interpret the soil test crop response information to give suitable recommendations to farmers. The following papers may be consulted for more information.
Developing a soil test extractant: The correlation and calibration processes by Hochmuth,G.,Mylavarapu,R and Hanlon Ed . UF IFAS Extension
http://edis.ifas.ufl.edu/ss622
Soil testing for P and K has value in nutrient management for annual crops Geisseler,D. and Miyao,G. 152 California Agriculture 70,(3)152-159
http://calag.ucanr.edu . July-September2016
If your existing data set is large enough you can take a suitably sized random sample of it using a table or a program and then run a statistical test as though it was a new, a priori, data set.
Is there any information in the existing data set to indicate whether the yield potential has been satisfied? What is the assumption about between season environmental influences?
For recommending farmers the fertilizer use for some crops,we need already existing soil test crop response correlation and calibration information in a particular area.Otherwise, one has to establish new soil test crop response correlation and calibration information system.For different plant nutrients we need to identify suitable extractants to estimate plant- avaialbe soil nutrients.We also need crop response data for individual nutrients for a particular crop.Then one has to correlate the soil tests with crop response.After that soil test is calibrated with crop response to added nutrients to predict crop response to added nutrient.Then one has to interpret the soil test crop response information to give suitable recommendations to farmers. The following papers may be consulted for more information.
Developing a soil test extractant: The correlation and calibration processes by Hochmuth,G.,Mylavarapu,R and Hanlon Ed . UF IFAS Extension
http://edis.ifas.ufl.edu/ss622
Soil testing for P and K has value in nutrient management for annual crops Geisseler,D. and Miyao,G. 152 California Agriculture 70,(3)152-159
http://calag.ucanr.edu . July-September2016
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