Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions
ABSTRACT Fuzzy logic can simulate wheat productivity by assisting crop predictability. The objective of the study is the use of fuzzy logic to simulate wheat yield in the conditions of nitrogen use, together with the effects of air temperature and rainfall, in the main cereal succession systems in S...
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Universidade Federal de Campina Grande
2019-12-01
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| Series: | Revista Brasileira de Engenharia Agrícola e Ambiental |
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| Online Access: | http://www.scielo.br/pdf/rbeaa/v24n1/1415-4366-rbeaa-24-01-0044.pdf |
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| author | Ana P. B. Trautmann José A. G. da Silva Manuel O. Binelo Antonio C. Valdiero Luana Henrichsen Natiane C. F. Basso |
| author_facet | Ana P. B. Trautmann José A. G. da Silva Manuel O. Binelo Antonio C. Valdiero Luana Henrichsen Natiane C. F. Basso |
| author_sort | Ana P. B. Trautmann |
| collection | DOAJ |
| description | ABSTRACT Fuzzy logic can simulate wheat productivity by assisting crop predictability. The objective of the study is the use of fuzzy logic to simulate wheat yield in the conditions of nitrogen use, together with the effects of air temperature and rainfall, in the main cereal succession systems in Southern Brazil. The study was conducted in the years 2014, 2015 and 2016, in Augusto Pestana, RS, Brazil. The experimental design was a randomized block design with four repetitions in a 4 x 3 factorial scheme for N-fertilizer doses (0, 30, 60, 120 kg ha-1) and nutrient supply forms [100% in phenological stage V3 (third expanded leaf); (70%/30%) in the phenological stage V3/V6 (third and sixth expanded leaf) and; fractionated (70%/30%) at the phenological stage V3/E (third expanded leaf and beginning of grain filling)], respectively, in the soybean/wheat and corn/wheat systems. The pertinence functions and the linguistic values established for the input and output variables are adequate for the use of fuzzy logic. Fuzzy logic simulates wheat grain yield efficiently in the conditions of nitrogen use with air temperature and rainfall in crop systems. |
| format | Article |
| id | doaj-art-c9a93bdd2cb14b9ca3f2ca2da1869af7 |
| institution | OA Journals |
| issn | 1807-1929 |
| language | English |
| publishDate | 2019-12-01 |
| publisher | Universidade Federal de Campina Grande |
| record_format | Article |
| series | Revista Brasileira de Engenharia Agrícola e Ambiental |
| spelling | doaj-art-c9a93bdd2cb14b9ca3f2ca2da1869af72025-08-20T02:02:06ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292019-12-01241445110.1590/1807-1929/agriambi.v24n1p44-51Simulation of wheat yield by nitrogen and nonlinearity of environmental conditionsAna P. B. Trautmannhttps://orcid.org/0000-0003-2194-6738José A. G. da Silvahttps://orcid.org/0000-0002-9335-2421Manuel O. Binelohttps://orcid.org/0000-0001-7639-7663Antonio C. Valdierohttps://orcid.org/0000-0001-7447-2076Luana Henrichsenhttps://orcid.org/0000-0003-0522-5666Natiane C. F. Bassohttps://orcid.org/0000-0002-6538-7299ABSTRACT Fuzzy logic can simulate wheat productivity by assisting crop predictability. The objective of the study is the use of fuzzy logic to simulate wheat yield in the conditions of nitrogen use, together with the effects of air temperature and rainfall, in the main cereal succession systems in Southern Brazil. The study was conducted in the years 2014, 2015 and 2016, in Augusto Pestana, RS, Brazil. The experimental design was a randomized block design with four repetitions in a 4 x 3 factorial scheme for N-fertilizer doses (0, 30, 60, 120 kg ha-1) and nutrient supply forms [100% in phenological stage V3 (third expanded leaf); (70%/30%) in the phenological stage V3/V6 (third and sixth expanded leaf) and; fractionated (70%/30%) at the phenological stage V3/E (third expanded leaf and beginning of grain filling)], respectively, in the soybean/wheat and corn/wheat systems. The pertinence functions and the linguistic values established for the input and output variables are adequate for the use of fuzzy logic. Fuzzy logic simulates wheat grain yield efficiently in the conditions of nitrogen use with air temperature and rainfall in crop systems.http://www.scielo.br/pdf/rbeaa/v24n1/1415-4366-rbeaa-24-01-0044.pdfTriticum aestivumtemperatureprecipitationfuzzy logicmodeling |
| spellingShingle | Ana P. B. Trautmann José A. G. da Silva Manuel O. Binelo Antonio C. Valdiero Luana Henrichsen Natiane C. F. Basso Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions Revista Brasileira de Engenharia Agrícola e Ambiental Triticum aestivum temperature precipitation fuzzy logic modeling |
| title | Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions |
| title_full | Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions |
| title_fullStr | Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions |
| title_full_unstemmed | Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions |
| title_short | Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions |
| title_sort | simulation of wheat yield by nitrogen and nonlinearity of environmental conditions |
| topic | Triticum aestivum temperature precipitation fuzzy logic modeling |
| url | http://www.scielo.br/pdf/rbeaa/v24n1/1415-4366-rbeaa-24-01-0044.pdf |
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