Data/hora: 12/06/2024 06:57:54

Provedor de dados: 	91	
País: 	Brazil	
Título: 	Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions	
Autores: 	Trautmann,Ana P. B.; Silva,José A. G. da; Binelo,Manuel O.; Valdiero,Antonio C.; Henrichsen,Luana; Basso,Natiane C. F.	
Data: 	2020-01-01	
Ano: 	2020	
Palavras-chave: 	Triticum aestivum; Temperature; Precipitation; Fuzzy logic; Modeling.	
Resumo: 	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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000100044	
Editor: 	Departamento de Engenharia Agrícola  - UFCG	
Relação: 	10.1590/1807-1929/agriambi.v24n1p44-51	
Formato: 	text/html	
Fonte: 	Revista Brasileira de Engenharia Agrícola e Ambiental  v.24 n.1 2020	
Fonte: 	info:eu-repo/semantics/openAccess