Markov chains to determine the probability of climate change for planting selection in the city of Caxias do Sul

• Published in: Ciência rural Vol. 52; no. 4
• Main Authors: Vargas, Vanessa Bertholdo, Corso, Leandro, Vallejos, Rolando Vargas
• Format: Journal Article
• Language: English; Portuguese
• Published: Universidade Federal de Santa Maria 01.01.2022
• Subjects: AGRONOMY; crops; decision-making process; Hierarchical analytical process; operational research; precipitation; soil pH; temperature; cultivos; crops; processo decisório; precipitação; precipitation; Hierarchical analytical process; pH do solo; soil pH; operational research; decision-making process; temperature; processo analítico hierárquico; temperatura; pesquisa operacional

The Markov stochastic chain model and the analytical hierarchy process (AHP) were used as tools to support decision-making for the best crop-planting choice in the city of Caxias do Sul, Brazil. Temperature and precipitation information were collected from the Meteorological Database for Teaching an...