Environment humidity and temperature prediction in agriculture using Mamdani inference systems

This paper presents the results of a humidity and temperature prediction model in the environment for agriculture, using diffuse sets and optimizing their parameters by heuristic methods, such as genetic algorithms, and exact methods such as Quasi-Newton. It has been identified that non-specialized...

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Vydané v:	International journal of electrical and computer engineering (Malacca, Malacca) Ročník 11; číslo 4; s. 3502
Hlavní autori:	Velandia, Julio Barón, Capera Quintana, Jonathan Steven, Vanegas Ayala, Sebastian Camilo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2021
Predmet:	Agriculture Fuzzy logic Genetic algorithms Heuristic methods Humidity Inference Optimization Optimization techniques Prediction models System dynamics
ISSN:	2088-8708, 2722-2578, 2088-8708
On-line prístup:	Získať plný text
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