Recommendation for fertilizer application for soils via qualitative reasoning |
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| Institution: | 1. Brazilian Agricultural Research Corporation (EMBRAPA- Genetic Resources and Biotechnology), Brasilia, Brazil;2. Federal University of Santa Catarina, Florianopolis, Brazil;1. Department of Orthopedic Surgery and Traumatology, Hospital de la Santa Creu i Sant Pau, Institut d׳Investigació Biomèdica Sant Pau, Barcelona, Spain;2. Department of Microbiology, Hospital de la Santa Creu i Sant Pau, Institut d׳Investigació Biomèdica Sant Pau, Barcelona, Spain;3. Infectious Diseases Unit, Department of Internal Medicine, Hospital de la Santa Creu i Sant Pau, Institut d׳Investigació Biomèdica Sant Pau, Sant Antoni Maria Claret, 167, Barcelona 08025, Spain;4. Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain;5. Spanish Network for Research in Infectious Diseases (REIPI RD12/0015), Instituto de Salud Carlos III, Madrid, Spain;1. Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune 411008, Maharashtra, India;2. National Collection of Industrial Microorganisms, CSIR-National Chemical Laboratory, Pune 411008, Maharashtra, India |
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| Abstract: | In Brazil, liming and fertilization are essential practices in agriculture due to the soils being acidic and poor in nutrients. Distinct decision tables that serve as support for recommendation of fertilizer application are used, but one of their features is that they are based on a strictly quantitative analysis of input variables. This sometimes causes dificulties in their use when calculating the output (recommended fertilizer application). This work presents a model for the use and interpretation of decision tables for fertilizer application. It is based on a qualitative characterization for the rules and input variables used. The results have shown that this approach gives feasible results which more accurately reflect human thinking about the decision table. |
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